Careers at CoreWeave

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll do The Fleet Reliability Operations Team is the heart of CoreWeave’s capacity delivery and maintenance effort. This team is responsible for provisioning, updating and triaging server nodes, and executing the processes and tooling that configure and validate our server fleet. This team is the first in line to respond to hardware issues in production, and is empowered to drive automation and observability design and priority for our server fleet lifecycle. We are seeking an Operations Manager for the Fleet Reliability Operations team who can help us maintain and improve our high volume of delivery and scale as we 10x the size of our fleet. This individual will develop a strong pipeline of talent, manage onboarding and training, provide process and thought leadership across the team’s domain, and champion reliability and customer satisfaction. As the manager of this team, you would have the opportunity to: Build and lead a 24/7 team of process-oriented, reliability and observability-focused engineers. Lead the socialization and documentation of clear and consistent processes for provisioning, validating and troubleshooting nodes in our server fleet. Think critically about and advocate for process and automation improvements prioritizing event-driven automated remediation as the end goal. Provide a 24/7 engineering support function for high-criticality, time-sensitive node delivery and maintenance. Drive and improve our program of onboarding, documentation, enablement, and performance management to help your team members achieve new heights of personal growth and capability. Drive the culture and tone for how your team keeps score both in how they communicate with and support each other and how they enable the rest of CoreWeave. Who You Are You have seven or more years of experience in a software or infrastructure engineering industry, of which at least two years were in a leadership capacity. You have a background that includes the knowledge and practice of SRE fundamentals, incident management, blameless culture, observability, and change management. You believe in the value of automation and will champion practices that drive reliability and drive the adoption of cross-team processes and tooling. You love helping people on their journeys to become their best selves and are comfortable extending the range of your influence to partners, peers, and senior leadership. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $143,000 to $191,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll do The Fleet Reliability Operations Team is the heart of CoreWeave’s capacity delivery and maintenance effort. This team is responsible for provisioning, updating and triaging server nodes, and executing the processes and tooling that configure and validate our server fleet. This team is the first in line to respond to hardware issues in production, and is empowered to drive automation and observability design and priority for our server fleet lifecycle. We are seeking an Operations Manager for the Fleet Reliability Operations team who can help us maintain and improve our high volume of delivery and scale as we 10x the size of our fleet. This individual will develop a strong pipeline of talent, manage onboarding and training, provide process and thought leadership across the team’s domain, and champion reliability and customer satisfaction. As the manager of this team, you would have the opportunity to: Build and lead a 24/7 team of process-oriented, reliability and observability-focused engineers. Lead the socialization and documentation of clear and consistent processes for provisioning, validating and troubleshooting nodes in our server fleet. Think critically about and advocate for process and automation improvements prioritizing event-driven automated remediation as the end goal. Provide a 24/7 engineering support function for high-criticality, time-sensitive node delivery and maintenance. Drive and improve our program of onboarding, documentation, enablement, and performance management to help your team members achieve new heights of personal growth and capability. Drive the culture and tone for how your team keeps score both in how they communicate with and support each other and how they enable the rest of CoreWeave. Who You Are You have seven or more years of experience in a software or infrastructure engineering industry, of which at least two years were in a leadership capacity. You have a background that includes the knowledge and practice of SRE fundamentals, incident management, blameless culture, observability, and change management. You believe in the value of automation and will champion practices that drive reliability and drive the adoption of cross-team processes and tooling. You love helping people on their journeys to become their best selves and are comfortable extending the range of your influence to partners, peers, and senior leadership. Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $143,000 to $191,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You’ll Do: The Fleet Monitoring and Analysis (FMA) team builds and operates the forward-deployed monitoring and observability layer for CoreWeave’s ever-expanding global hardware fleet; continually improving node and environmental visibility to support automated provisioning and high-reliability operations. About the role: As a Senior Data Engineer you will own and evolve the data lake and analytics stack that powers observability and decision-making for CoreWeave’s global hardware fleet. You’ll maintain, monitor, and upgrade our data lake infrastructure (Apache Iceberg, Trino, Apache Airflow, Apache Spark, Apache Superset) and ETL pipelines, while delivering ad-hoc analysis and executive-ready reporting for team, director, and leadership stakeholders. You’ll also create visualizations, documentation, and integrations that make fleet monitoring data reliable, discoverable, and actionable across the organization. In this role, you will: Design, develop, and maintain robust and scalable data pipelines to collect, process, and store data from various sources, including APIs, databases, and third-party services. Maintain, monitor, and upgrade CoreWeave’s data lake infrastructure, including Apache Iceberg, the Trino query layer, Apache Airflow, Apache Spark, and Apache Superset. Maintain, monitor, and upgrade ETL/ELT pipelines to ensure reliable, performant, and observable data flows across batch and (where applicable) streaming workloads. Create and optimize data models and data products to support analytics and reporting, ensuring data accuracy, consistency, and performance. Provide ad-hoc analysis and reporting for team, director, and executive-level stakeholders, translating business questions into data-driven insights and clear narratives. Create visualizations and dashboards (e.g., in Apache Superset or similar tools) that surface key metrics, trends, and operational KPIs for a variety of internal audiences. Develop and maintain documentation and runbooks for data pipelines, data lake infrastructure, data models, and usage patterns to support knowledge sharing and troubleshooting. Implement data security and governance best practices to protect sensitive information and comply with data privacy regulations. Collaborate with cross-functional teams to integrate data into applications and analytics platforms, helping to visualize performance metrics and identify opportunities for improvement. Who You Are: Bachelor’s degree in Computer Science, Engineering, or a related field. 4 - 7 years of experience as a Data Engineer or in a similar data-focused role in a fast-paced environment. Strong SQL skills for data manipulation, modeling, and querying large datasets. Proficiency in at least one programming language commonly used for data engineering such as Python, Java, or Scala. Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow) and big data technologies (e.g., Apache Spark). Experience designing, operating, and optimizing data lake and/or data warehouse solutions, with a solid understanding of data modeling and performance tuning. Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and related data services (e.g., object storage, managed databases, analytics services). Familiarity with database systems (e.g., SQL and NoSQL) and data warehousing concepts, including partitioning, indexing, and schema design. Experience building, maintaining, and monitoring ETL/ELT pipelines in production environments, including alerting and observability. Experience creating and maintaining reporting and analytics solutions (dashboards, reports, and metrics) for technical and non-technical audiences. Preferred: Experience with modern data lakehouse technologies and table formats such as Apache Iceberg (or similar technologies like Delta Lake or Apache Hudi). Experience with Trino or other distributed SQL query engines at scale. Experience with Apache Superset or other BI/visualization tools for building self-service analytics. Experience with data quality frameworks, data observability tooling, and/or metadata management. Experience supporting executive-level reporting and KPI design in partnership with business and finance stakeholders. Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. You love owning data infrastructure end-to-end—from ingestion and modeling to analytics and visualization. You’re curious about modern data lake and lakehouse architectures and enjoy working with open-source data tooling. You’re an expert at turning loosely defined business questions into concrete data products, metrics, and dashboards that drive decisions. The base salary range for this role is $153,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You’ll Do: The Fleet Monitoring and Analysis (FMA) team builds and operates the forward-deployed monitoring and observability layer for CoreWeave’s ever-expanding global hardware fleet; continually improving node and environmental visibility to support automated provisioning and high-reliability operations. About the role: As a Senior Data Engineer you will own and evolve the data lake and analytics stack that powers observability and decision-making for CoreWeave’s global hardware fleet. You’ll maintain, monitor, and upgrade our data lake infrastructure (Apache Iceberg, Trino, Apache Airflow, Apache Spark, Apache Superset) and ETL pipelines, while delivering ad-hoc analysis and executive-ready reporting for team, director, and leadership stakeholders. You’ll also create visualizations, documentation, and integrations that make fleet monitoring data reliable, discoverable, and actionable across the organization. In this role, you will: Design, develop, and maintain robust and scalable data pipelines to collect, process, and store data from various sources, including APIs, databases, and third-party services. Maintain, monitor, and upgrade CoreWeave’s data lake infrastructure, including Apache Iceberg, the Trino query layer, Apache Airflow, Apache Spark, and Apache Superset. Maintain, monitor, and upgrade ETL/ELT pipelines to ensure reliable, performant, and observable data flows across batch and (where applicable) streaming workloads. Create and optimize data models and data products to support analytics and reporting, ensuring data accuracy, consistency, and performance. Provide ad-hoc analysis and reporting for team, director, and executive-level stakeholders, translating business questions into data-driven insights and clear narratives. Create visualizations and dashboards (e.g., in Apache Superset or similar tools) that surface key metrics, trends, and operational KPIs for a variety of internal audiences. Develop and maintain documentation and runbooks for data pipelines, data lake infrastructure, data models, and usage patterns to support knowledge sharing and troubleshooting. Implement data security and governance best practices to protect sensitive information and comply with data privacy regulations. Collaborate with cross-functional teams to integrate data into applications and analytics platforms, helping to visualize performance metrics and identify opportunities for improvement. Who You Are: Bachelor’s degree in Computer Science, Engineering, or a related field. 4 - 7 years of experience as a Data Engineer or in a similar data-focused role in a fast-paced environment. Strong SQL skills for data manipulation, modeling, and querying large datasets. Proficiency in at least one programming language commonly used for data engineering such as Python, Java, or Scala. Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow) and big data technologies (e.g., Apache Spark). Experience designing, operating, and optimizing data lake and/or data warehouse solutions, with a solid understanding of data modeling and performance tuning. Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and related data services (e.g., object storage, managed databases, analytics services). Familiarity with database systems (e.g., SQL and NoSQL) and data warehousing concepts, including partitioning, indexing, and schema design. Experience building, maintaining, and monitoring ETL/ELT pipelines in production environments, including alerting and observability. Experience creating and maintaining reporting and analytics solutions (dashboards, reports, and metrics) for technical and non-technical audiences. Preferred: Experience with modern data lakehouse technologies and table formats such as Apache Iceberg (or similar technologies like Delta Lake or Apache Hudi). Experience with Trino or other distributed SQL query engines at scale. Experience with Apache Superset or other BI/visualization tools for building self-service analytics. Experience with data quality frameworks, data observability tooling, and/or metadata management. Experience supporting executive-level reporting and KPI design in partnership with business and finance stakeholders. Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. You love owning data infrastructure end-to-end—from ingestion and modeling to analytics and visualization. You’re curious about modern data lake and lakehouse architectures and enjoy working with open-source data tooling. You’re an expert at turning loosely defined business questions into concrete data products, metrics, and dashboards that drive decisions. The base salary range for this role is $153,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You’ll Do: The Fleet Monitoring and Analysis (FMA) team builds and operates the forward-deployed monitoring and observability layer for CoreWeave’s ever-expanding global hardware fleet; continually improving node and environmental visibility to support automated provisioning and high-reliability operations. About the role: As a Senior Data Engineer you will own and evolve the data lake and analytics stack that powers observability and decision-making for CoreWeave’s global hardware fleet. You’ll maintain, monitor, and upgrade our data lake infrastructure (Apache Iceberg, Trino, Apache Airflow, Apache Spark, Apache Superset) and ETL pipelines, while delivering ad-hoc analysis and executive-ready reporting for team, director, and leadership stakeholders. You’ll also create visualizations, documentation, and integrations that make fleet monitoring data reliable, discoverable, and actionable across the organization. In this role, you will: Design, develop, and maintain robust and scalable data pipelines to collect, process, and store data from various sources, including APIs, databases, and third-party services. Maintain, monitor, and upgrade CoreWeave’s data lake infrastructure, including Apache Iceberg, the Trino query layer, Apache Airflow, Apache Spark, and Apache Superset. Maintain, monitor, and upgrade ETL/ELT pipelines to ensure reliable, performant, and observable data flows across batch and (where applicable) streaming workloads. Create and optimize data models and data products to support analytics and reporting, ensuring data accuracy, consistency, and performance. Provide ad-hoc analysis and reporting for team, director, and executive-level stakeholders, translating business questions into data-driven insights and clear narratives. Create visualizations and dashboards (e.g., in Apache Superset or similar tools) that surface key metrics, trends, and operational KPIs for a variety of internal audiences. Develop and maintain documentation and runbooks for data pipelines, data lake infrastructure, data models, and usage patterns to support knowledge sharing and troubleshooting. Implement data security and governance best practices to protect sensitive information and comply with data privacy regulations. Collaborate with cross-functional teams to integrate data into applications and analytics platforms, helping to visualize performance metrics and identify opportunities for improvement. Who You Are: Bachelor’s degree in Computer Science, Engineering, or a related field. 4 - 7 years of experience as a Data Engineer or in a similar data-focused role in a fast-paced environment. Strong SQL skills for data manipulation, modeling, and querying large datasets. Proficiency in at least one programming language commonly used for data engineering such as Python, Java, or Scala. Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow) and big data technologies (e.g., Apache Spark). Experience designing, operating, and optimizing data lake and/or data warehouse solutions, with a solid understanding of data modeling and performance tuning. Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and related data services (e.g., object storage, managed databases, analytics services). Familiarity with database systems (e.g., SQL and NoSQL) and data warehousing concepts, including partitioning, indexing, and schema design. Experience building, maintaining, and monitoring ETL/ELT pipelines in production environments, including alerting and observability. Experience creating and maintaining reporting and analytics solutions (dashboards, reports, and metrics) for technical and non-technical audiences. Preferred: Experience with modern data lakehouse technologies and table formats such as Apache Iceberg (or similar technologies like Delta Lake or Apache Hudi). Experience with Trino or other distributed SQL query engines at scale. Experience with Apache Superset or other BI/visualization tools for building self-service analytics. Experience with data quality frameworks, data observability tooling, and/or metadata management. Experience supporting executive-level reporting and KPI design in partnership with business and finance stakeholders. Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. You love owning data infrastructure end-to-end—from ingestion and modeling to analytics and visualization. You’re curious about modern data lake and lakehouse architectures and enjoy working with open-source data tooling. You’re an expert at turning loosely defined business questions into concrete data products, metrics, and dashboards that drive decisions. The base salary range for this role is $153,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You’ll Do: The Fleet Monitoring and Analysis (FMA) team builds and operates the forward-deployed monitoring and observability layer for CoreWeave’s ever-expanding global hardware fleet; continually improving node and environmental visibility to support automated provisioning and high-reliability operations. About the role: As a Senior Data Engineer you will own and evolve the data lake and analytics stack that powers observability and decision-making for CoreWeave’s global hardware fleet. You’ll maintain, monitor, and upgrade our data lake infrastructure (Apache Iceberg, Trino, Apache Airflow, Apache Spark, Apache Superset) and ETL pipelines, while delivering ad-hoc analysis and executive-ready reporting for team, director, and leadership stakeholders. You’ll also create visualizations, documentation, and integrations that make fleet monitoring data reliable, discoverable, and actionable across the organization. In this role, you will: Design, develop, and maintain robust and scalable data pipelines to collect, process, and store data from various sources, including APIs, databases, and third-party services. Maintain, monitor, and upgrade CoreWeave’s data lake infrastructure, including Apache Iceberg, the Trino query layer, Apache Airflow, Apache Spark, and Apache Superset. Maintain, monitor, and upgrade ETL/ELT pipelines to ensure reliable, performant, and observable data flows across batch and (where applicable) streaming workloads. Create and optimize data models and data products to support analytics and reporting, ensuring data accuracy, consistency, and performance. Provide ad-hoc analysis and reporting for team, director, and executive-level stakeholders, translating business questions into data-driven insights and clear narratives. Create visualizations and dashboards (e.g., in Apache Superset or similar tools) that surface key metrics, trends, and operational KPIs for a variety of internal audiences. Develop and maintain documentation and runbooks for data pipelines, data lake infrastructure, data models, and usage patterns to support knowledge sharing and troubleshooting. Implement data security and governance best practices to protect sensitive information and comply with data privacy regulations. Collaborate with cross-functional teams to integrate data into applications and analytics platforms, helping to visualize performance metrics and identify opportunities for improvement. Who You Are: Bachelor’s degree in Computer Science, Engineering, or a related field. 4 - 7 years of experience as a Data Engineer or in a similar data-focused role in a fast-paced environment. Strong SQL skills for data manipulation, modeling, and querying large datasets. Proficiency in at least one programming language commonly used for data engineering such as Python, Java, or Scala. Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow) and big data technologies (e.g., Apache Spark). Experience designing, operating, and optimizing data lake and/or data warehouse solutions, with a solid understanding of data modeling and performance tuning. Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and related data services (e.g., object storage, managed databases, analytics services). Familiarity with database systems (e.g., SQL and NoSQL) and data warehousing concepts, including partitioning, indexing, and schema design. Experience building, maintaining, and monitoring ETL/ELT pipelines in production environments, including alerting and observability. Experience creating and maintaining reporting and analytics solutions (dashboards, reports, and metrics) for technical and non-technical audiences. Preferred: Experience with modern data lakehouse technologies and table formats such as Apache Iceberg (or similar technologies like Delta Lake or Apache Hudi). Experience with Trino or other distributed SQL query engines at scale. Experience with Apache Superset or other BI/visualization tools for building self-service analytics. Experience with data quality frameworks, data observability tooling, and/or metadata management. Experience supporting executive-level reporting and KPI design in partnership with business and finance stakeholders. Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. You love owning data infrastructure end-to-end—from ingestion and modeling to analytics and visualization. You’re curious about modern data lake and lakehouse architectures and enjoy working with open-source data tooling. You’re an expert at turning loosely defined business questions into concrete data products, metrics, and dashboards that drive decisions. The base salary range for this role is $153,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You'll Do CoreWeave's Fleet Engineering organization owns the lifecycle of every server in our cloud, including provisioning, health, availability, and repair across every cluster and region. To scale, we automate, automate, automate. But physical infrastructure exists in the real world, and some obstacles can only be overcome with hands-on work. You and your team will design, build, and own the tooling for every human interaction with the fleet, with the goal of making each action as clear, simple, and friction-free as possible while seamlessly collecting fault metrics that drive continuous improvement across the cloud stack. About the Role We're seeking an Engineering Manager to lead a full-stack team building Go backend services and React/TypeScript frontends for workflow-heavy, data-dense products with real users you can talk to: hardware ticketing automation, guided repair procedures for technicians on the data center floor, and the services that move hardware and inventory data across the fleet. Your users are the data center technicians, operations engineers, technical program managers, and inventory specialists who run CoreWeave's global footprint. You own delivery, including scope, release cadence, quality, and responsiveness to users. You’ll lead design reviews, pressure-test architecture, and help your team make sound tradeoffs. In this role, you will: Lead and grow the team through hiring, onboarding, career development, and performance management, and set the tone for how the team operates and enables the rest of CoreWeave. Own delivery end to end: gather and refine requirements, define scope, and set predictable, clearly communicated release cadences. Drive reliability and performance under real operational load through observability, on-call operations, incident response, runbook development, and automated remediation. Lead maintenance and enhancement of existing products, soliciting user feedback and prioritizing fixes to stay responsive to users. Scope and lead new product development that increases the efficiency and scale at which CoreWeave manages its fleet. Set technical direction through design and architecture reviews, holding the bar on API contracts, data modeling, and frontend architecture. Partner with peer Fleet Engineering teams and operations leadership on shared APIs, sources of truth, and cross-team dependencies. Who You Are 8+ years of professional software engineering experience, including 4+ years managing full-stack teams that ship and operate production web applications across a frontend layer (TypeScript/React or comparable) and backend services (Go, or another compiled service language). Demonstrated track record delivering software products to defined stakeholders and users: requirements gathering, scoping, prioritization, release planning, and predictable delivery cadences. Experience owning production web services end to end, including performance under load, availability targets, on-call rotations, and incident response. Technical depth sufficient to lead design and architecture reviews and evaluate system design tradeoffs across API contracts, data modeling, state management, horizontal scaling, security, and audit trails. Experience hiring, mentoring, and managing engineer performance, including growing engineers into senior and lead roles. Strong process-oriented mindset and the ability to document, scale, and optimize complex workflows. Excellent cross-functional communicator, comfortable extending your influence to non-engineering stakeholders, partner teams, and senior leadership. Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience. Preferred Experience delivering internal tools, workflow products, or field-service platforms used daily by operational teams, with strong product sense for translating user workflows into interfaces. Experience with third-party and vendor API integrations, including ticketing systems such as Jira and vendor support portals. Familiarity with data center operations, hardware lifecycle management, or asset tracking and DCIM tools. Experience with mobile-friendly or device-integrated web applications, for example barcode or serial number scanning. Familiarity with observability platforms (Prometheus, Grafana, VictoriaMetrics, alerting systems), Kubernetes, and modern CI/CD practices. The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You’ll Do: The Fleet Monitoring and Analysis (FMA) team builds and operates the forward-deployed monitoring and observability layer for CoreWeave’s ever-expanding global hardware fleet; continually improving node and environmental visibility to support automated provisioning and high-reliability operations. About the role: As a Senior Data Engineer you will own and evolve the data lake and analytics stack that powers observability and decision-making for CoreWeave’s global hardware fleet. You’ll maintain, monitor, and upgrade our data lake infrastructure (Apache Iceberg, Trino, Apache Airflow, Apache Spark, Apache Superset) and ETL pipelines, while delivering ad-hoc analysis and executive-ready reporting for team, director, and leadership stakeholders. You’ll also create visualizations, documentation, and integrations that make fleet monitoring data reliable, discoverable, and actionable across the organization. In this role, you will: Design, develop, and maintain robust and scalable data pipelines to collect, process, and store data from various sources, including APIs, databases, and third-party services. Maintain, monitor, and upgrade CoreWeave’s data lake infrastructure, including Apache Iceberg, the Trino query layer, Apache Airflow, Apache Spark, and Apache Superset. Maintain, monitor, and upgrade ETL/ELT pipelines to ensure reliable, performant, and observable data flows across batch and (where applicable) streaming workloads. Create and optimize data models and data products to support analytics and reporting, ensuring data accuracy, consistency, and performance. Provide ad-hoc analysis and reporting for team, director, and executive-level stakeholders, translating business questions into data-driven insights and clear narratives. Create visualizations and dashboards (e.g., in Apache Superset or similar tools) that surface key metrics, trends, and operational KPIs for a variety of internal audiences. Develop and maintain documentation and runbooks for data pipelines, data lake infrastructure, data models, and usage patterns to support knowledge sharing and troubleshooting. Implement data security and governance best practices to protect sensitive information and comply with data privacy regulations. Collaborate with cross-functional teams to integrate data into applications and analytics platforms, helping to visualize performance metrics and identify opportunities for improvement. Who You Are: Bachelor’s degree in Computer Science, Engineering, or a related field. 4 - 7 years of experience as a Data Engineer or in a similar data-focused role in a fast-paced environment. Strong SQL skills for data manipulation, modeling, and querying large datasets. Proficiency in at least one programming language commonly used for data engineering such as Python, Java, or Scala. Hands-on experience with data pipeline orchestration tools (e.g., Apache Airflow) and big data technologies (e.g., Apache Spark). Experience designing, operating, and optimizing data lake and/or data warehouse solutions, with a solid understanding of data modeling and performance tuning. Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and related data services (e.g., object storage, managed databases, analytics services). Familiarity with database systems (e.g., SQL and NoSQL) and data warehousing concepts, including partitioning, indexing, and schema design. Experience building, maintaining, and monitoring ETL/ELT pipelines in production environments, including alerting and observability. Experience creating and maintaining reporting and analytics solutions (dashboards, reports, and metrics) for technical and non-technical audiences. Preferred: Experience with modern data lakehouse technologies and table formats such as Apache Iceberg (or similar technologies like Delta Lake or Apache Hudi). Experience with Trino or other distributed SQL query engines at scale. Experience with Apache Superset or other BI/visualization tools for building self-service analytics. Experience with data quality frameworks, data observability tooling, and/or metadata management. Experience supporting executive-level reporting and KPI design in partnership with business and finance stakeholders. Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. You love owning data infrastructure end-to-end—from ingestion and modeling to analytics and visualization. You’re curious about modern data lake and lakehouse architectures and enjoy working with open-source data tooling. You’re an expert at turning loosely defined business questions into concrete data products, metrics, and dashboards that drive decisions. The base salary range for this role is $153,000 to $204,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You’ll Do: The Data Engineering Team builds and operates the foundational data infrastructure powering analytics, AI, and operational decision-making across CoreWeave. We design resilient data pipelines, scalable lakehouse systems, and high-quality datasets that enable teams across Finance, HR, Operations, and Engineering to move faster and make smarter decisions. Our mission is to make CoreWeave's data reliable, accessible, and actionable at scale. About the role: We're seeking a Senior Data Engineer to design and build the foundational datasets that power analytics, business intelligence, and AI across CoreWeave. You will own the development of dimensional data models, enterprise metrics, and curated data products that enable analysts, data scientists, and business stakeholders to answer complex questions with confidence. Day-to-day, you'll partner closely with business domains and analytics teams to translate operational processes into scalable data models while ensuring performance, quality, and consistency across the data ecosystem. This role combines deep data modeling expertise with strong software engineering skills across our modern lakehouse platform. Who You Are: Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience) 5+ years of experience designing and building analytical data models in enterprise data warehouse or lakehouse environments. Expertise in at least one programming language such as Python, Scala, or Rust, with experience building production-grade data systems. Advanced SQL skills with demonstrated experience developing, optimizing, and troubleshooting complex analytical workloads. Hands-on experience building and operating distributed data processing systems using Spark, Flink, or similar technologies. Experience working with modern lakehouse architectures and analytical technologies such as Iceberg, Delta, StarRocks, Clickhouse, or Trino. Deep expertise applying dimensional modeling techniques to scaled OLAP workloads. Strong experience building curated datasets, semantic models, and enterprise metrics that support business intelligence, advanced analytics, and AI use cases. Preferred: Experience operating event-driven architectures using Kafka, AutoMQ, Pulsar, or similar streaming platforms Experience operating data-intensive workloads on Kubernetes Experience in high-growth technology or infrastructure-focused organizations Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. You love building data products with the same rigor applied to production software You're curious about emerging technologies in streaming, lakehouse, and AI-powered analytics You're an expert at designing scalable systems for processing and serving data Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com . What You’ll Do: The Data Engineering Team builds and operates the foundational data infrastructure powering analytics, AI, and operational decision-making across CoreWeave. We design resilient data pipelines, scalable lakehouse systems, and high-quality datasets that enable teams across Finance, HR, Operations, and Engineering to move faster and make smarter decisions. Our mission is to make CoreWeave's data reliable, accessible, and actionable at scale. About the role: We're seeking a Senior Data Engineer to design and build the foundational datasets that power analytics, business intelligence, and AI across CoreWeave. You will own the development of dimensional data models, enterprise metrics, and curated data products that enable analysts, data scientists, and business stakeholders to answer complex questions with confidence. Day-to-day, you'll partner closely with business domains and analytics teams to translate operational processes into scalable data models while ensuring performance, quality, and consistency across the data ecosystem. This role combines deep data modeling expertise with strong software engineering skills across our modern lakehouse platform. Who You Are: Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience) 5+ years of experience designing and building analytical data models in enterprise data warehouse or lakehouse environments. Expertise in at least one programming language such as Python, Scala, or Rust, with experience building production-grade data systems. Advanced SQL skills with demonstrated experience developing, optimizing, and troubleshooting complex analytical workloads. Hands-on experience building and operating distributed data processing systems using Spark, Flink, or similar technologies. Experience working with modern lakehouse architectures and analytical technologies such as Iceberg, Delta, StarRocks, Clickhouse, or Trino. Deep expertise applying dimensional modeling techniques to scaled OLAP workloads. Strong experience building curated datasets, semantic models, and enterprise metrics that support business intelligence, advanced analytics, and AI use cases. Preferred: Experience operating event-driven architectures using Kafka, AutoMQ, Pulsar, or similar streaming platforms Experience operating data-intensive workloads on Kubernetes Experience in high-growth technology or infrastructure-focused organizations Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match. Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk. You love building data products with the same rigor applied to production software You're curious about emerging technologies in streaming, lakehouse, and AI-powered analytics You're an expert at designing scalable systems for processing and serving data Why CoreWeave? At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values: Be Curious at Your Core Act Like an Owner Empower Employees Deliver Best-in-Class Client Experiences Achieve More Together We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us! The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we’ve posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include: Medical, dental, and vision insurance - 100% paid for by CoreWeave Company-paid Life Insurance Voluntary supplemental life insurance Short and long-term disability insurance Flexible Spending Account Health Savings Account Tuition Reimbursement Ability to Participate in Employee Stock Purchase Program (ESPP) Mental Wellness Benefits through Spring Health Family-Forming support provided by Carrot Paid Parental Leave Flexible, full-service childcare support with Kinside 401(k) with a generous employer match Flexible PTO Catered lunch each day in our office and data center locations A casual work environment A work culture focused on innovative disruption California Applicants California Consumer Privacy Act Equal Opportunity & Accommodations CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA) , CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.