Careers at Capital One

Senior Associate, Data Scientist - Applied AI Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Commercial Bank Applied AI team is at the forefront of embedding Generative AI directly into core business processes. We specialize in building enterprise-grade architectures using advanced techniques such as Multi-Agent Systems, Advanced RAG, Context Engineering, Tool-Calling Frameworks etc. The ideal candidate is deeply passionate about the practical applications of Generative AI and brings hands-on experience in machine learning and AI, gained through either professional industry work or rigorous academic research. In this role, you will: Partner with a cross-functional team of data scientists, machine learning engineers, and product managers to deliver Generative AI solutions customers love. Leverage a broad stack of technologies—Python, PyTorch, LangChain, AWS, Spark, and Vector Databases—to build Multi-Agent systems and advanced RAG pipelines over vast volumes of numeric and textual data. Build Generative AI models and pipelines through all phases of development, from context engineering through fine-tuning, evaluation, validation, and deployment. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) At least 2 years of experience in Python, Scala, or R At least 2 years of experience with machine learning At least 2 years of experience with SQL At least 1 year of experience in AI, Information Retrieval, Deep Learning, or NLP Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science New York, NY: $148,000 - $168,900 for Sr Assoc, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Associate, Data Scientist - Applied AI Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description The Commercial Bank Applied AI team is at the forefront of embedding Generative AI directly into core business processes. We specialize in building enterprise-grade architectures using advanced techniques such as Multi-Agent Systems, Advanced RAG, Context Engineering, Tool-Calling Frameworks etc. The ideal candidate is deeply passionate about the practical applications of Generative AI and brings hands-on experience in machine learning and AI, gained through either professional industry work or rigorous academic research. In this role, you will: Partner with a cross-functional team of data scientists, machine learning engineers, and product managers to deliver Generative AI solutions customers love. Leverage a broad stack of technologies—Python, PyTorch, LangChain, AWS, Spark, and Vector Databases—to build Multi-Agent systems and advanced RAG pipelines over vast volumes of numeric and textual data. Build Generative AI models and pipelines through all phases of development, from context engineering through fine-tuning, evaluation, validation, and deployment. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate is: Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration Preferred Qualifications: Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) At least 2 years of experience in Python, Scala, or R At least 2 years of experience with machine learning At least 2 years of experience with SQL At least 1 year of experience in AI, Information Retrieval, Deep Learning, or NLP Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $135,600 - $154,800 for Sr Assoc, Data Science New York, NY: $148,000 - $168,900 for Sr Assoc, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Front-End Engineer 5 (JavaScript, Angular, React, Node) (Enterprise Platforms Technology) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Front-End Software Engineers who are passionate about leveraging cutting-edge open source frameworks and emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One. Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. In this role as a Front-End Software Engineers , you will make significant contributions to the Web Platform domain at Capital One, encompassing three mission-critical systems: the authenticated customer servicing platform, the marketing and acquisition platform, and Capital One's design system. Together, these systems represent multiple "front doors" of the company, directly shaping the digital experience for millions of customers and prospects. What You’ll Do: Drive high-leverage technical initiatives end-to-end, from problem framing through implementation and adoption Operate as a trusted technical advisor across engineering teams, building credibility through expertise and clear communication rather than organizational authority Own architectural and technical decisions for cross-team initiatives, balancing near-term delivery against long-term platform health Bring a data-driven approach to technical problems — using evidence to make the case for investment, prioritization, or a change in direction Establish and evangelize engineering standards and best practices, including AI-native development patterns and agentic tooling adoption Mentor engineers across the organization and contribute to technical interviewing, onboarding, and community-building efforts Collaborate with engineering, product, and design leadership to align technical direction with business priorities Utilize programming languages like JavaScript (Angular, React, Node), HTML/CSS, TypeScript, open source frameworks, and cross-browser/cross-device development practices Basic Qualifications: Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of professional experience in software engineering (internship experience does not apply) At least 6 years of experience developing applications using TypeScript, HTML, CSS and modern web frameworks (React, Angular, Vue, Svelte) At least 3 years of experience architecting or leading the development of federated front-end or design systems with cross-application adoption Preferred Qualifications: 7+ years of experience with TypeScript and JavaScript 7+ years of experience with modern web frameworks (e.g., React, Angular, Vue, Svelte), HTML and CSS Proven experience with automated testing frameworks (e.g., Jest, Cypress, Playwright) and modular architecture Experience providing technical leadership for a large product area, influencing its technical vision and roadmap Experience leading the design of multi-team components or contributing to shared design systems Experience developing and scaling client Backend-for-Frontends (BFFs) and defining efficient data-fetching strategies using protocols like gRPC/Protobuf Expertise in release health indicators, metrics-driven canary release, and feature flag strategies Expertise with agentic AI coding tools and developer productivity patterns Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Front-end Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Full-stack Engineer 5 (Senior Manager, IC) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Full-stack Software Engineers who are passionate about leveraging cutting-edge open source frameworks and emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One. Our team is at the forefront of protecting millions of customers by building high-throughput, real-time streaming pipelines and services that evaluate credit card transactions for fraud as they happen. Operating at the intersection of application engineering, data engineering, and data science, we utilize a robust stack of Java, Python, and Go deployed natively on AWS to scale our machine learning scoring models and decision engines. As an engineer on this team, you will dive into cutting-edge machine learning feature engineering, continuous experimentation, and the development of agentic tooling for advanced data analysis. Join us to solve complex, high-stakes distributed systems problems where your code directly safeguards financial transactions in milliseconds. What You’ll Do: Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Provide technical leadership across multiple teams, shaping system architecture and long-term technology direction Drive end-to-end design and implementation of large-scale, distributed, or cloud-native systems with high reliability and performance requirements Partner with architects and product leaders to define platform roadmaps and shared services strategy Basic Qualifications: Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience in software engineering (Internship experience does not apply) At least 3 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies Preferred Qualifications: Master’s Degree in Computer Science or a related field 9+ years of experience coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala 5+ years of experience contributing to open source frameworks 5+ years of experience with front-end JavaScript or TypeScript frameworks 5+ years of experience creating synchronous and asynchronous APIs 4+ years of experience with database and database management systems 4+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies 4+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks 4+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket) 4+ years of experience troubleshooting technical issues within cloud environments 3+ years of experience mentoring senior engineers and driving professional development within technical teams 2+ years of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems 1+ year of experience leading architectural design reviews and influencing enterprise-wide technical standards and methodologies 1+ year of experience establishing and enforcing coding standards and design patterns across teams 1+ year of experience implementing observability and reliability practices at scale Experience leveraging modern AI-based coding tools and IDE copilots Experience influencing technology strategy at the portfolio or business unit level Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience leading cross-functional engineering efforts or large-scale technical initiatives Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Full-stack Engineer 5 New York, NY: $250,800 - $286,200 for Full-stack Engineer 5 Richmond, VA: $209,000 - $238,500 for Full-stack Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Full-stack Engineer 5 (Senior Manager, IC) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Full-stack Software Engineers who are passionate about leveraging cutting-edge open source frameworks and emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One. Our team is at the forefront of protecting millions of customers by building high-throughput, real-time streaming pipelines and services that evaluate credit card transactions for fraud as they happen. Operating at the intersection of application engineering, data engineering, and data science, we utilize a robust stack of Java, Python, and Go deployed natively on AWS to scale our machine learning scoring models and decision engines. As an engineer on this team, you will dive into cutting-edge machine learning feature engineering, continuous experimentation, and the development of agentic tooling for advanced data analysis. Join us to solve complex, high-stakes distributed systems problems where your code directly safeguards financial transactions in milliseconds. What You’ll Do: Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Utilize programming languages like Java, Scala, Python, Go, Node.js, JavaScript and TypeScript, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services Provide technical leadership across multiple teams, shaping system architecture and long-term technology direction Drive end-to-end design and implementation of large-scale, distributed, or cloud-native systems with high reliability and performance requirements Partner with architects and product leaders to define platform roadmaps and shared services strategy Basic Qualifications: Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 6 years of experience in software engineering (Internship experience does not apply) At least 3 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies Preferred Qualifications: Master’s Degree in Computer Science or a related field 9+ years of experience coding with more than two of the following: Go, Java, JavaScript/TypeScript, Python, Rust, C#, Scala 5+ years of experience contributing to open source frameworks 5+ years of experience with front-end JavaScript or TypeScript frameworks 5+ years of experience creating synchronous and asynchronous APIs 4+ years of experience with database and database management systems 4+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies 4+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks 4+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket) 4+ years of experience troubleshooting technical issues within cloud environments 3+ years of experience mentoring senior engineers and driving professional development within technical teams 2+ years of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems 1+ year of experience leading architectural design reviews and influencing enterprise-wide technical standards and methodologies 1+ year of experience establishing and enforcing coding standards and design patterns across teams 1+ year of experience implementing observability and reliability practices at scale Experience leveraging modern AI-based coding tools and IDE copilots Experience influencing technology strategy at the portfolio or business unit level Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience leading cross-functional engineering efforts or large-scale technical initiatives Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Full-stack Engineer 5 New York, NY: $250,800 - $286,200 for Full-stack Engineer 5 Richmond, VA: $209,000 - $238,500 for Full-stack Engineer 5 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Full-stack Engineer 4 (Cloud Native, Microservices & AWS) ( Enterprise Platforms Technology) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Full-stack Engineers 4 who are passionate about leveraging cutting-edge open source frameworks and emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One. What You’ll Do: Lead & Mentor Engineering Teams: Lead a portfolio of diverse technology projects and a team of developers experienced in distributed microservices and full-stack systems, driving solutions to meet regulatory and business needs. Advance Developer Experience & AI Workflows: Build and enhance internal tools, platforms, and AI-powered workflows—including Claude Code integrations and skills marketplaces—that reduce friction and accelerate software delivery across the organization. Empower Engineering Productivity: Invest in developer tooling to directly improve engineering productivity, code quality, and overall developer experience at scale. Deliver Cloud-Based Solutions: Collaborate with digital product managers to deliver robust, scalable AWS cloud solutions that empower millions of Americans to achieve financial well-being. Leverage Modern Tech Stacks: Utilize programming languages (Java, Scala, Python, Go, Node.js, JavaScript, TypeScript), Open Source RDBMS and NoSQL databases, container orchestration tools (Docker, Kubernetes), and modern AWS infrastructure. Drive Technical & Operational Excellence: Provide technical leadership across Agile teams by setting high standards for system design, software development, operational excellence, and a "you build it, you own it" ownership culture. Partner on Architecture & Strategy: Partner with enterprise architects to define service boundaries, integration patterns, and reusable frameworks, while influencing long-term technology strategy by evaluating emerging tools. Reduce Technical Debt & Refactor: Proactively identify areas for improvement, implementing targeted refactoring to eliminate technical debt and optimize system performance. Foster Tech Community Engagement: Stay on top of emerging technology trends, experiment with new technologies, participate in internal and external tech communities, and mentor engineering peers. Basic Qualifications: Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience in software engineering (Internship experience does not apply) At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies Preferred Qualifications: Master’s Degree in Computer Science or a related field 7+ years of experience coding with more than two of the following: Python, TypeScript, or Javascrip 3+ years of experience with database and database management systems 3+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies 4+ years of experience contributing to open source frameworks 3+ years of experience with front-end JavaScript or TypeScript frameworks 4+ years of experience creating synchronous and asynchronous APIs 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks 3+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket) 3+ years of experience troubleshooting technical issues within cloud environments Experience leveraging modern AI-based coding tools and IDE copilots 1+ year of experience mentoring engineers and driving professional development within technical teams 1+ year of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience leading cross-functional engineering efforts or large-scale technical initiatives Experience establishing and enforcing coding standards and design patterns across teams At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Full-stack Engineer 4 Plano, TX: $179,400 - $204,700 for Full-stack Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Full-stack Engineer 4 (Cloud Native, Microservices & AWS) ( Enterprise Platforms Technology) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Full-stack Engineers 4 who are passionate about leveraging cutting-edge open source frameworks and emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One. What You’ll Do: Lead & Mentor Engineering Teams: Lead a portfolio of diverse technology projects and a team of developers experienced in distributed microservices and full-stack systems, driving solutions to meet regulatory and business needs. Advance Developer Experience & AI Workflows: Build and enhance internal tools, platforms, and AI-powered workflows—including Claude Code integrations and skills marketplaces—that reduce friction and accelerate software delivery across the organization. Empower Engineering Productivity: Invest in developer tooling to directly improve engineering productivity, code quality, and overall developer experience at scale. Deliver Cloud-Based Solutions: Collaborate with digital product managers to deliver robust, scalable AWS cloud solutions that empower millions of Americans to achieve financial well-being. Leverage Modern Tech Stacks: Utilize programming languages (Java, Scala, Python, Go, Node.js, JavaScript, TypeScript), Open Source RDBMS and NoSQL databases, container orchestration tools (Docker, Kubernetes), and modern AWS infrastructure. Drive Technical & Operational Excellence: Provide technical leadership across Agile teams by setting high standards for system design, software development, operational excellence, and a "you build it, you own it" ownership culture. Partner on Architecture & Strategy: Partner with enterprise architects to define service boundaries, integration patterns, and reusable frameworks, while influencing long-term technology strategy by evaluating emerging tools. Reduce Technical Debt & Refactor: Proactively identify areas for improvement, implementing targeted refactoring to eliminate technical debt and optimize system performance. Foster Tech Community Engagement: Stay on top of emerging technology trends, experiment with new technologies, participate in internal and external tech communities, and mentor engineering peers. Basic Qualifications: Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience in software engineering (Internship experience does not apply) At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies Preferred Qualifications: Master’s Degree in Computer Science or a related field 7+ years of experience coding with more than two of the following: Python, TypeScript, or Javascrip 3+ years of experience with database and database management systems 3+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies 4+ years of experience contributing to open source frameworks 3+ years of experience with front-end JavaScript or TypeScript frameworks 4+ years of experience creating synchronous and asynchronous APIs 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks 3+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket) 3+ years of experience troubleshooting technical issues within cloud environments Experience leveraging modern AI-based coding tools and IDE copilots 1+ year of experience mentoring engineers and driving professional development within technical teams 1+ year of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience leading cross-functional engineering efforts or large-scale technical initiatives Experience establishing and enforcing coding standards and design patterns across teams At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Full-stack Engineer 4 Plano, TX: $179,400 - $204,700 for Full-stack Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Full-stack Engineer 4 (Cloud Native, Microservices & AWS) ( Enterprise Platforms Technology) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Full-stack Engineers 4 who are passionate about leveraging cutting-edge open source frameworks and emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One. What You’ll Do: Lead & Mentor Engineering Teams: Lead a portfolio of diverse technology projects and a team of developers experienced in distributed microservices and full-stack systems, driving solutions to meet regulatory and business needs. Advance Developer Experience & AI Workflows: Build and enhance internal tools, platforms, and AI-powered workflows—including Claude Code integrations and skills marketplaces—that reduce friction and accelerate software delivery across the organization. Empower Engineering Productivity: Invest in developer tooling to directly improve engineering productivity, code quality, and overall developer experience at scale. Deliver Cloud-Based Solutions: Collaborate with digital product managers to deliver robust, scalable AWS cloud solutions that empower millions of Americans to achieve financial well-being. Leverage Modern Tech Stacks: Utilize programming languages (Java, Scala, Python, Go, Node.js, JavaScript, TypeScript), Open Source RDBMS and NoSQL databases, container orchestration tools (Docker, Kubernetes), and modern AWS infrastructure. Drive Technical & Operational Excellence: Provide technical leadership across Agile teams by setting high standards for system design, software development, operational excellence, and a "you build it, you own it" ownership culture. Partner on Architecture & Strategy: Partner with enterprise architects to define service boundaries, integration patterns, and reusable frameworks, while influencing long-term technology strategy by evaluating emerging tools. Reduce Technical Debt & Refactor: Proactively identify areas for improvement, implementing targeted refactoring to eliminate technical debt and optimize system performance. Foster Tech Community Engagement: Stay on top of emerging technology trends, experiment with new technologies, participate in internal and external tech communities, and mentor engineering peers. Basic Qualifications: Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience in software engineering (Internship experience does not apply) At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies Preferred Qualifications: Master’s Degree in Computer Science or a related field 7+ years of experience coding with more than two of the following: Python, TypeScript, or Javascrip 3+ years of experience with database and database management systems 3+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies 4+ years of experience contributing to open source frameworks 3+ years of experience with front-end JavaScript or TypeScript frameworks 4+ years of experience creating synchronous and asynchronous APIs 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks 3+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket) 3+ years of experience troubleshooting technical issues within cloud environments Experience leveraging modern AI-based coding tools and IDE copilots 1+ year of experience mentoring engineers and driving professional development within technical teams 1+ year of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience leading cross-functional engineering efforts or large-scale technical initiatives Experience establishing and enforcing coding standards and design patterns across teams At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Full-stack Engineer 4 Plano, TX: $179,400 - $204,700 for Full-stack Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Full-stack Engineer 4 (Cloud Native, Microservices & AWS) ( Enterprise Platforms Technology) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Full-stack Engineers 4 who are passionate about leveraging cutting-edge open source frameworks and emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One. What You’ll Do: Lead & Mentor Engineering Teams: Lead a portfolio of diverse technology projects and a team of developers experienced in distributed microservices and full-stack systems, driving solutions to meet regulatory and business needs. Advance Developer Experience & AI Workflows: Build and enhance internal tools, platforms, and AI-powered workflows—including Claude Code integrations and skills marketplaces—that reduce friction and accelerate software delivery across the organization. Empower Engineering Productivity: Invest in developer tooling to directly improve engineering productivity, code quality, and overall developer experience at scale. Deliver Cloud-Based Solutions: Collaborate with digital product managers to deliver robust, scalable AWS cloud solutions that empower millions of Americans to achieve financial well-being. Leverage Modern Tech Stacks: Utilize programming languages (Java, Scala, Python, Go, Node.js, JavaScript, TypeScript), Open Source RDBMS and NoSQL databases, container orchestration tools (Docker, Kubernetes), and modern AWS infrastructure. Drive Technical & Operational Excellence: Provide technical leadership across Agile teams by setting high standards for system design, software development, operational excellence, and a "you build it, you own it" ownership culture. Partner on Architecture & Strategy: Partner with enterprise architects to define service boundaries, integration patterns, and reusable frameworks, while influencing long-term technology strategy by evaluating emerging tools. Reduce Technical Debt & Refactor: Proactively identify areas for improvement, implementing targeted refactoring to eliminate technical debt and optimize system performance. Foster Tech Community Engagement: Stay on top of emerging technology trends, experiment with new technologies, participate in internal and external tech communities, and mentor engineering peers. Basic Qualifications: Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience in software engineering (Internship experience does not apply) At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies Preferred Qualifications: Master’s Degree in Computer Science or a related field 7+ years of experience coding with more than two of the following: Python, TypeScript, or Javascrip 3+ years of experience with database and database management systems 3+ years of experience with AWS, GCP, Azure, or cloud-based productivity tools or virtualization technologies 4+ years of experience contributing to open source frameworks 3+ years of experience with front-end JavaScript or TypeScript frameworks 4+ years of experience creating synchronous and asynchronous APIs 3+ years of experience with CI/CD pipelines, infrastructure as code, and automated testing frameworks 3+ years of experience using Git-based version-control systems (e.g., Git, GitHub, Bitbucket) 3+ years of experience troubleshooting technical issues within cloud environments Experience leveraging modern AI-based coding tools and IDE copilots 1+ year of experience mentoring engineers and driving professional development within technical teams 1+ year of experience leveraging observability to identify and optimize performance bottlenecks in distributed systems Experience with interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Experience leading cross-functional engineering efforts or large-scale technical initiatives Experience establishing and enforcing coding standards and design patterns across teams At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Full-stack Engineer 4 Plano, TX: $179,400 - $204,700 for Full-stack Engineer 4 Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Manager, Data Scientist - US Card Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description As part of the US Card data science organization, this team focuses on the customer management business, and builds top tier machine learning solutions to meet the various needs such as real-time customer behavioral prediction and valuation forecasts. We work in a team environment, collaborating closely with cross-functioning teams including the Upmarket business, engineers, analysts, data science/quants, products. Role Description In this role, you will: Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics At least 2 years of experience leveraging open source programming languages for large scale data analysis At least 2 years of experience working with machine learning At least 2 years of experience utilizing relational databases Preferred Qualifications: PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics At least 1 year of experience working with AWS At least 1 year of experience managing people At least 5 years’ experience in Python, Scala, or R for large scale data analysis At least 5 years’ experience with machine learning Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr Mgr, Data Science New York, NY: $250,800 - $286,200 for Sr Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).