Careers at Paretocaptiveservicesllc

About ParetoHealth ParetoHealth is redefining the way employers fund healthcare. As the largest and fastest-growing benefits captive in the United States, we help thousands of small and midsize employers take control of healthcare costs through a smarter, more sustainable model. Our mission is simple: give small and midsize employers the scale and protection they need to eliminate volatility and lower healthcare costs. By combining data-driven insights, innovative risk management, and the collective purchasing power of our community, we enable employers to reduce volatility, improve long-term outcomes, and reinvest savings into their businesses and their people. Headquartered in Philadelphia, ParetoHealth is growing rapidly and transforming one of the country's largest industries. Our success is fueled by talented people who are united by our four core values: Fire in the Belly, For the Greater Good, See the Field, and Get It Done Right. These values shape how we innovate, collaborate, make decisions, and deliver exceptional results for our clients and one another. If you're energized by solving complex challenges, thrive in a high-growth environment, and want to help reshape the future of healthcare, we'd love to meet you. Please note that ParetoHealth does not provide employment visa sponsorship for this position. Candidates must be authorized to work in the United States without sponsorship both now or in the future. 2027 Summer Internship Information: Roles will be posted from 11/2/2026 to 12/4/2026. Interviews with the Talent Team and Hiring Manager will be conducted November-January. *Please be sure to apply to the internship(s) which align with your major, your personal interests and desired career path. Thank you! Learn more about our Start Strong Program here: https://paretohealth.com/careers/internships/ As a Software Engineering Intern, you’ll work with experienced engineers on software, tools, and workflows that support Pareto’s teams and services. You’ll contribute to scoped projects, take part in code reviews and team planning, and learn how software moves from an idea to a reliable product. What you’ll do Help design, build, test, and maintain software features and internal tools. Work with engineers and partners across product, operations, and other teams to understand needs and shape solutions. Write clear, maintainable code and contribute to automated tests and technical documentation. Participate in code reviews, team meetings, and project planning. Investigate bugs and help improve the reliability and usability of existing systems. Share progress, ask questions, and incorporate feedback as you work. Nice to have Experience with web development, APIs, databases, or cloud platforms. Familiarity with tools such as Git and collaborative software development workflows. Personal, academic, or open-source projects you can share. What you’ll gain Practical experience contributing to real engineering work. Guidance and feedback from experienced teammates. Exposure to the full development process, from understanding a problem through implementation and testing. Opportunities to build your technical skills and learn how cross-functional teams work together. What we’re looking for Currently pursuing a degree in Computer Science, Software Engineering, or a related field. Experience with at least one programming language through coursework, projects, or prior experience. Familiarity with core software development concepts such as data structures, version control, testing, and debugging. Interest in learning how software supports real business and customer needs. Clear communication, curiosity, and a willingness to work collaboratively. We are guided by our values: Fire in the belly The drive to learn, to improve, and to deliver outstanding value every day. See the field The ability to see the big picture and prepare to meet tomorrow’s needs. Get it done right The passion to produce at higher rates and to the highest standards. For the greater good A united community creating better health benefit solutions for all. Please note that any communication from our recruiters and hiring managers at ParetoHealth about a job opportunity will only be made by a ParetoHealth employee with an @paretohealth.com address. ParetoHealth does not conduct text message or chat-based interviews. Any other email addresses, agencies, or forums may be phishing scams designed to obtain your personal information. We will not ask you to provide personal or financial information, including, but not limited to, your social security number, online account passwords, credit card numbers, passport information, and other related banking information until we begin onboarding activities, which will be coordinated by a member of the ParetoHealth People Ops Team with an @paretohealth.com email address. Disclosures: ParetoHealth is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status, in any of its activities or operations. These activities include, but are not limited to, hiring and firing of staff, selection of volunteers and vendors, and provision of services. We are committed to providing an inclusive and welcoming environment for all members of our staff, clients, volunteers, subcontractors, vendors, and clients. California Applicants : See Pareto’s CCPA Notice of Collection for California Employees and Applicants for information about how Pareto Captive Services, LLC, Pareto Health, LLC, and Pareto Underwriting Partners, LLC, together with their respective subsidiaries (collectively, “Pareto”) collects and uses personal information submitted by employment applicants.

About ParetoHealth ParetoHealth is redefining the way employers fund healthcare. As the largest and fastest-growing benefits captive in the United States, we help thousands of small and midsize employers take control of healthcare costs through a smarter, more sustainable model. Our mission is simple: give small and midsize employers the scale and protection they need to eliminate volatility and lower healthcare costs. By combining data-driven insights, innovative risk management, and the collective purchasing power of our community, we enable employers to reduce volatility, improve long-term outcomes, and reinvest savings into their businesses and their people. Headquartered in Philadelphia, ParetoHealth is growing rapidly and transforming one of the country's largest industries. Our success is fueled by talented people who are united by our four core values: Fire in the Belly, For the Greater Good, See the Field, and Get It Done Right. These values shape how we innovate, collaborate, make decisions, and deliver exceptional results for our clients and one another. If you're energized by solving complex challenges, thrive in a high-growth environment, and want to help reshape the future of healthcare, we'd love to meet you. Please note that ParetoHealth does not provide employment visa sponsorship for this position. Candidates must be authorized to work in the United States without sponsorship both now or in the future. Position Summary: The Lead Data Scientist will independently lead applied AI and data science workstreams that translate complex healthcare and underwriting data into measurable improvements in risk selection, pricing accuracy, operational efficiency, and the underwriting experience. The role will personally lead work from problem framing, target definition, feature engineering, and model development through rigorous validation, production deployment, monitoring, and business-impact measurement. The Lead Data Scientist will operate with broad autonomy, manage workstream plans and risks, and bring major methodological, governance, or cross-platform decisions to the VP of AI and VP Analytics when a decision has broader business impact. In addition to delivering models, the Lead Data Scientist will help build internal AI products and contribute improvements to shared practices for temporal validation, explainability, responsible AI and data use, model governance, and performance monitoring. Working with the VP of AI and VP of Analytics, the role will align assigned workstreams to the broader scientific roadmap and escalate decisions with cross-workstream impact. The role will partner with Business, AI, and Engineering to translate complex evidence into clear recommendations and measurable business outcomes. Key Responsibilities: Own end-to-end delivery and measurable outcomes for assigned predictive underwriting and pricing workstreams, from problem framing through deployment, monitoring, and continuous improvement, including: Frame evidence-based recommendations and workstream trade-offs across model quality, risk, cost, scalability, aligning partners on delivery and measurable outcomes Defining and documenting the Analytics-Ready Dataset, data-quality, and reusable feature requirements needed for assigned workstreams across claims, pharmacy, utilization, financial, underwriting, and external data Applying rigorous point-in-time development and out-of-time validation approaches for claims maturity, seasonality, leakage, stability, and uncertainty Developing, comparing, and challenging predictive models, distributions, and hybrid rule/model approaches based on evidence and operating constraints Balance near-term delivery with disciplined exploration of emerging methods, including deep learning or GenAI solutions, that can materially improve accuracy, scalability, decision quality, or operating efficiency Translating model needs into detailed feature requirements; partnering with business teams to identify additional signals and with Legal to secure approvals Managing third-party model evaluations and ROI analyses when external expertise or independent validation is needed Producing explainable, reproducible model outputs and following shared documentation, testing, monitoring, retraining, and rollback standards while recommending improvements based on workstream experience Champion reuse, standardization, and componentization of data science assets so successful features, pipelines, evaluation patterns, and scoring capabilities can scale across Pareto Predict Translate model outputs into decision support that improves underwriting accuracy, efficiency, adoption, and user experience; use measured business results to recommend whether to scale, iterate, or stop Ensure assigned solutions operate within shared evaluation, monitoring, model-risk, responsible-AI, privacy, and regulatory expectations Contribute to team capability through hands-on technical reviews, reusable components, mentoring, and pragmatic evaluation of new statistical, machine-learning, and AI methods Key Characteristics: An independent workstream owner who combines strong scientific judgment with hands-on delivery A strategic problem-solver who connects modeling decisions to underwriting outcomes and measurable economic value An influential collaborator who aligns Underwriting, Business, Product, and Engineering without relying on formal authority An effective communicator who explains technical trade-offs, risks, and business impact in a way that enables confident decisions across technical and business audiences A collaborative builder who contributes reusable components, documentation, and practical improvements to shared standards Required Skills & Qualifications: Bachelor's or master's degree in Statistics, Data Science, Computer Science, Mathematics, Engineering, or a related quantitative field; an advanced degree is a plus 8+ years in data science, machine learning, statistics, actuarial analytics, including substantial work with healthcare, pharmacy, insurance risk, or sensitive longitudinal data and a proven record of independently owning models or analytical workstreams end to end Advanced Python and SQL, with experience in scikit-learn, XGBoost, GBMs, or comparable frameworks. Experience using PySpark or comparable distributed-computing tools to work with structured and unstructured data at scale is preferred; PyTorch experience is a plus Deep expertise in Supervised and Unsupervised Machine Learning methods, explainability, statistical distributions, rare-event and high-cost modeling, calibration, and optimization Proven ownership of production models and the MLOps lifecycle on AWS or a comparable cloud platform, including Git-based version control, testing, deployment, monitoring, retraining, rollback, documentation, and responsible AI/model-governance practices. Familiarity with Kedro or a similar pipeline framework is a plus. Experience with LLMs, prompt engineering, RAG, embeddings, vector DB, or agentic frameworks is helpful but not required. Strong business acumen and judgment, with the ability to connect analytical outputs to measurable business outcomes, influence cross-functional decisions, and navigate trade-offs among model quality, risk, cost, scalability, and time to value. Perks & Benefits: Fully paid medical, dental, and vision benefits. Flexible PTO 401k company contribution Tuition reimbursement Professional development allowance Transportation allowance and daily parking reimbursement Engaging hybrid work environment We are guided by our values: Fire in the belly The drive to learn, to improve, and to deliver outstanding value every day. See the field The ability to see the big picture and prepare to meet tomorrow’s needs. Get it done right The passion to produce at higher rates and to the highest standards. For the greater good A united community creating better health benefit solutions for all. Please note that any communication from our recruiters and hiring managers at ParetoHealth about a job opportunity will only be made by a ParetoHealth employee with an @paretohealth.com address. ParetoHealth does not conduct text message or chat-based interviews. Any other email addresses, agencies, or forums may be phishing scams designed to obtain your personal information. We will not ask you to provide personal or financial information, including, but not limited to, your social security number, online account passwords, credit card numbers, passport information, and other related banking information until we begin onboarding activities, which will be coordinated by a member of the ParetoHealth People Ops Team with an @paretohealth.com email address. Disclosures: ParetoHealth is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status, in any of its activities or operations. These activities include, but are not limited to, hiring and firing of staff, selection of volunteers and vendors, and provision of services. We are committed to providing an inclusive and welcoming environment for all members of our staff, clients, volunteers, subcontractors, vendors, and clients. California Applicants : See Pareto’s CCPA Notice of Collection for California Employees and Applicants for information about how Pareto Captive Services, LLC, Pareto Health, LLC, and Pareto Underwriting Partners, LLC, together with their respective subsidiaries (collectively, “Pareto”) collects and uses personal information submitted by employment applicants.

About ParetoHealth ParetoHealth is redefining the way employers fund healthcare. As the largest and fastest-growing benefits captive in the United States, we help thousands of small and midsize employers take control of healthcare costs through a smarter, more sustainable model. Our mission is simple: give small and midsize employers the scale and protection they need to eliminate volatility and lower healthcare costs. By combining data-driven insights, innovative risk management, and the collective purchasing power of our community, we enable employers to reduce volatility, improve long-term outcomes, and reinvest savings into their businesses and their people. Headquartered in Philadelphia, ParetoHealth is growing rapidly and transforming one of the country's largest industries. Our success is fueled by talented people who are united by our four core values: Fire in the Belly, For the Greater Good, See the Field, and Get It Done Right. These values shape how we innovate, collaborate, make decisions, and deliver exceptional results for our clients and one another. If you're energized by solving complex challenges, thrive in a high-growth environment, and want to help reshape the future of healthcare, we'd love to meet you. Please note that ParetoHealth does not provide employment visa sponsorship for this position. Candidates must be authorized to work in the United States without sponsorship both now or in the future. Position Summary: As Principal Data Architect, you will define and drive the enterprise data architecture strategy across ParetoHealth, enabling trusted, connected, secure, and AI-ready data products that power business intelligence, advanced analytics, and intelligent automation. You will work across business, product, engineering, analytics, and AI teams to translate complex business needs into scalable data platforms and architectures. You will bring deep expertise in modern data architecture, strong technical judgment, and the ability to navigate complex data ecosystems, ideally within healthcare, health insurance, employee benefits, or financial services. This is a hands-on architecture leadership role for someone who can think strategically, influence across the organization, and drive implementation from vision to execution. Key Responsbilities: Enterprise Data Architecture & Strategy Define and evolve the enterprise data architecture, data models, integration patterns, and technology standards to support ParetoHealth’s business and technology strategy. Design scalable, resilient, and cost-effective data architectures across operational systems, analytical platforms, and data products. Establish canonical data models and shared business entities across domains, enabling consistent definitions and reliable data exchange. Drive architectural decisions that balance immediate business needs with long-term scalability, flexibility, and maintainability. Modern Data Platforms & Engineering Architect modern cloud-based data platforms and lakehouse or warehouse solutions that support batch, streaming, and near-real-time data processing. Establish patterns for data ingestion, transformation, orchestration, data quality, metadata management, lineage, and observability. Enable interoperable data products and APIs that make trusted data accessible to applications, analytics, and AI systems. Partner with engineering teams to establish best practices for data modeling, platform reliability, performance, security, and cost optimization. Healthcare & Insurance Data Design data architectures that integrate complex, fragmented data across healthcare, health insurance, employee benefits, employer groups, claims, eligibility, provider networks, and financial systems, as applicable. Develop a strong understanding of healthcare benefits and insurance business processes, data entities, and industry-specific interoperability requirements. Enable secure and governed access to sensitive healthcare and personally identifiable information, incorporating HIPAA and other applicable regulatory and privacy requirements. Translate complex healthcare and insurance data into consistent, usable models that support business operations, financial analysis, cost transparency, and better decision-making. AI, Analytics & Data Products Build an AI-ready data foundation that enables machine learning, generative AI, agentic workflows, and intelligent automation. Define architectures for high-quality, contextual, discoverable, and governed data that can be safely consumed by AI applications. Partner with data science, analytics, product, and engineering teams to enable predictive insights, operational intelligence, and data-driven product innovation. Establish data product principles that emphasize business ownership, trusted metrics, reusability, and measurable business outcomes. Technical Leadership & Governance Serve as a trusted technical advisor to engineering, product, business, security, and executive stakeholders. Define architectural standards, reference architectures, design principles, and technical roadmaps. Drive alignment across teams and influence decisions without relying solely on formal authority. Mentor senior engineers and data architects, raise the bar for technical excellence, and foster a culture of accountability and continuous improvement. Required Qualifications / Skills: 12+ years of experience in data architecture, data engineering, data platforms, or related technical disciplines, with demonstrated experience leading enterprise-scale architecture. Proven track record designing and implementing modern cloud data platforms and complex data integration architectures. Strong expertise in data modeling, dimensional and relational modeling, distributed data processing, data pipelines, and data platform design. Experience with modern data technologies such as Snowflake, Databricks, cloud-native data services, Kafka or equivalent streaming technologies, dbt, and contemporary orchestration tools. Strong understanding of data governance, metadata, lineage, data quality, access controls, privacy, and security. Experience architecting data platforms that support enterprise analytics, operational applications, and AI/ML use cases. Ability to communicate complex technical concepts clearly and influence senior technical and business stakeholders. Demonstrated ability to move from architecture strategy to practical implementation and measurable outcomes. Preferred Qualifications: Experience in healthcare, health insurance, employee benefits, healthcare technology, or payer/provider ecosystems. Familiarity with healthcare data standards and interoperability frameworks such as FHIR, HL7, X12, and relevant claims and eligibility data formats. Experience working with sensitive healthcare or insurance data in regulated environments, including HIPAA compliance requirements. Knowledge of healthcare economics, medical and pharmacy claims, stop-loss insurance, self-funded employer health plans, or benefits administration. Experience building governed data products and AI-ready platforms that enable advanced analytics and intelligent automation. Experience modernizing legacy data ecosystems and integrating data across acquisitions, multiple platforms, or fragmented enterprise systems. Perks & Benefits: Fully paid medical, dental, and vision benefits. Flexible PTO 401k company contribution Tuition reimbursement Professional development allowance Transportation allowance and daily parking reimbursement Engaging hybrid work environment We are guided by our values: Fire in the belly The drive to learn, to improve, and to deliver outstanding value every day. See the field The ability to see the big picture and prepare to meet tomorrow’s needs. Get it done right The passion to produce at higher rates and to the highest standards. For the greater good A united community creating better health benefit solutions for all. Please note that any communication from our recruiters and hiring managers at ParetoHealth about a job opportunity will only be made by a ParetoHealth employee with an @paretohealth.com address. ParetoHealth does not conduct text message or chat-based interviews. Any other email addresses, agencies, or forums may be phishing scams designed to obtain your personal information. We will not ask you to provide personal or financial information, including, but not limited to, your social security number, online account passwords, credit card numbers, passport information, and other related banking information until we begin onboarding activities, which will be coordinated by a member of the ParetoHealth People Ops Team with an @paretohealth.com email address. Disclosures: ParetoHealth is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status, in any of its activities or operations. These activities include, but are not limited to, hiring and firing of staff, selection of volunteers and vendors, and provision of services. We are committed to providing an inclusive and welcoming environment for all members of our staff, clients, volunteers, subcontractors, vendors, and clients. California Applicants : See Pareto’s CCPA Notice of Collection for California Employees and Applicants for information about how Pareto Captive Services, LLC, Pareto Health, LLC, and Pareto Underwriting Partners, LLC, together with their respective subsidiaries (collectively, “Pareto”) collects and uses personal information submitted by employment applicants.

About ParetoHealth ParetoHealth is redefining the way employers fund healthcare. As the largest and fastest-growing benefits captive in the United States, we help thousands of small and midsize employers take control of healthcare costs through a smarter, more sustainable model. Our mission is simple: give small and midsize employers the scale and protection they need to eliminate volatility and lower healthcare costs. By combining data-driven insights, innovative risk management, and the collective purchasing power of our community, we enable employers to reduce volatility, improve long-term outcomes, and reinvest savings into their businesses and their people. Headquartered in Philadelphia, ParetoHealth is growing rapidly and transforming one of the country's largest industries. Our success is fueled by talented people who are united by our four core values: Fire in the Belly, For the Greater Good, See the Field, and Get It Done Right. These values shape how we innovate, collaborate, make decisions, and deliver exceptional results for our clients and one another. If you're energized by solving complex challenges, thrive in a high-growth environment, and want to help reshape the future of healthcare, we'd love to meet you. Please note that ParetoHealth does not provide employment visa sponsorship for this position. Candidates must be authorized to work in the United States without sponsorship both now or in the future. Position Summary: The Senior Data Engineer will design, build, and maintain serverless data pipelines and data models on AWS that make high-quality, analytics-ready data available to our AI and Analytics teams. This role will own ingestions, transformation, and storage patterns using services such as Lambda, Glue, Athena, and S3, ensuring data is reliable, well-documented, and aligned with business and model-training needs. The role will also partner with Data Science to support MLOps, including reproducible machine-learning training and scoring pipeline, automated feature generation, deployment, and monitoring. It will power ML model workflows using sensitive healthcare data and support model training and scoring, production monitoring, and business feedback loops. Key Responsibilities: Design, implement, and maintain scalable, fully serverless data pipelines on AWS using Lambda, Glue, Athena, Step Functions, and S3 to support reporting, analytics, and AI use cases. Build and evolve data models and schemas that enable performant querying and downstream consumption by AI, Analytics and engineering teams. Build versioned data models, feature stores, with semantics, reproducible backfills, and safeguards against leakage or inconsistent definitions. Develop ETL/ELT workflows to ingest, cleanse, transform, and load data from internal applications, third‑party sources, and event streams into our data lake and analytical layers. Partner closely with Product, Underwriting, Analytics, and AI stakeholders to understand data requirements and translate them into robust data structures, contracts, and SLAs. Implement data quality controls, monitoring, and alerting to ensure accuracy, completeness, timeliness, and lineage of critical datasets and features used by models. Include automated controls for schema change, validity, reconciliation, claims maturity, and model leakage. Optimize serverless workloads for cost, performance, and scalability, including query tuning in Athena and efficient storage formats/partitioning in S3. Contribute to and enforce data engineering best practices, including version control, code review, CI/CD for data pipelines, and Infrastructure as Code with AWS CDK. Collaborate with AI and Analytics teams to design and maintain feature stores and other reusable data assets that accelerate experimentation and model deployment. Partner on batch or API scoring and capture model/data versions, recommendations, actions, overrides, and claims to close the learning loop. Experience designing and operating event-driven or streaming data pipelines for near-real-time scoring or decisioning, using Kafka, Amazon Kinesis, or comparable technologies; strong understanding of event schemas, idempotency, ordering, retries, observability, and failure recovery. Troubleshoot pipeline issues, resolve data‑related incidents, and provide ongoing support for production data workflows and model‑driven applications. Document data models, pipelines, and data contracts, and help evangelize data literacy and self‑service analytics across the organization. Required Skills & Qualifications: Strong experience with AWS data and serverless services (Lambda, Glue, Athena, S3, Step Functions or similar orchestration tools). Advanced proficiency in Python (required) and SQL, with experience in relational and NoSQL databases and in building reusable ETL/ELT libraries. Hands-on experience with PySpark for distributed data processing is strongly preferred; TypeScript experience for AWS CDK required. Experience with MLOps practices, including versioned feature and training datasets, orchestration of training and scoring workflows, CI/CD, model/data monitoring, and reproducible deployments in partnership with AI. Solid understanding of data modeling principles for AI workloads. Apply schema evolution, incremental processing, partitioning, and columnar or open-table formats such as Parquet and Iceberg. Experience designing and operating data pipelines at scale, including batch and near‑real‑time ingestion. Hands-on experience with Kafka is preferred. Familiarity with SQL and query optimization in columnar data stores and engines. Knowledge of data quality, governance, and security for sensitive healthcare and financial data, including least-privilege access, retention, classification, tokenization, and de-identification. Hands‑on experience with Infrastructure as Code, preferably AWS CDK, for provisioning and managing data infrastructure. Ability to partner with AI and Analytics teams to design data solutions for model experimentation and production; Kedro or similar workflow experience is a plus. Knowledge of responsible AI and data-use practices, including permitted-use controls, privacy, fairness considerations, documentation, and governance for sensitive healthcare and financial data. Strong communication skills to explain complex data concepts clearly to business stakeholders; regulated-domain experience, preferably healthcare claims or insurance, is a plus. Minimum Requirements: Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, or a related field, or equivalent practical experience; a master's degree is preferred. 5+ years in data engineering or a related role, with significant ownership of production data pipelines and analytics platforms; hands-on ML/AI experience supporting feature preparation, model training, deployment, or monitoring is strongly preferred. Experience with AWS data services in a production environment (for example, Lambda, Glue, Athena, and S3) is preferred; equivalent production experience on another cloud data platform will be considered. Experience building and maintaining data solutions that support reporting, BI, and/or AI/ML initiatives. Perks & Benefits: Fully paid medical, dental, and vision benefits. Flexible PTO 401k company contribution Tuition reimbursement Professional development allowance Transportation allowance and daily parking reimbursement Engaging hybrid work environment We are guided by our values: Fire in the belly The drive to learn, to improve, and to deliver outstanding value every day. See the field The ability to see the big picture and prepare to meet tomorrow’s needs. Get it done right The passion to produce at higher rates and to the highest standards. For the greater good A united community creating better health benefit solutions for all. Please note that any communication from our recruiters and hiring managers at ParetoHealth about a job opportunity will only be made by a ParetoHealth employee with an @paretohealth.com address. ParetoHealth does not conduct text message or chat-based interviews. Any other email addresses, agencies, or forums may be phishing scams designed to obtain your personal information. We will not ask you to provide personal or financial information, including, but not limited to, your social security number, online account passwords, credit card numbers, passport information, and other related banking information until we begin onboarding activities, which will be coordinated by a member of the ParetoHealth People Ops Team with an @paretohealth.com email address. Disclosures: ParetoHealth is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status, in any of its activities or operations. These activities include, but are not limited to, hiring and firing of staff, selection of volunteers and vendors, and provision of services. We are committed to providing an inclusive and welcoming environment for all members of our staff, clients, volunteers, subcontractors, vendors, and clients. California Applicants : See Pareto’s CCPA Notice of Collection for California Employees and Applicants for information about how Pareto Captive Services, LLC, Pareto Health, LLC, and Pareto Underwriting Partners, LLC, together with their respective subsidiaries (collectively, “Pareto”) collects and uses personal information submitted by employment applicants.

About ParetoHealth ParetoHealth is redefining the way employers fund healthcare. As the largest and fastest-growing benefits captive in the United States, we help thousands of small and midsize employers take control of healthcare costs through a smarter, more sustainable model. Our mission is simple: give small and midsize employers the scale and protection they need to eliminate volatility and lower healthcare costs. By combining data-driven insights, innovative risk management, and the collective purchasing power of our community, we enable employers to reduce volatility, improve long-term outcomes, and reinvest savings into their businesses and their people. Headquartered in Philadelphia, ParetoHealth is growing rapidly and transforming one of the country's largest industries. Our success is fueled by talented people who are united by our four core values: Fire in the Belly, For the Greater Good, See the Field, and Get It Done Right. These values shape how we innovate, collaborate, make decisions, and deliver exceptional results for our clients and one another. If you're energized by solving complex challenges, thrive in a high-growth environment, and want to help reshape the future of healthcare, we'd love to meet you. Please note that ParetoHealth does not provide employment visa sponsorship for this position. Candidates must be authorized to work in the United States without sponsorship both now or in the future. Position Summary: This position requires the engineer to develop solutions in TypeScript using AWS cloud-based technologies to support business operations. The engineer will need to interface with other engineers, management, and business analysts to develop and manage requirements, deliverables, and timelines. Key Responsibilities: API endpoint development supporting GraphQL queries. TypeScript development of business logic libraries. Lambda development and deployment using the AWS CDK. Job automation making use of AWS Glue. Angular/Ionic UI development. Minor DevOps support to include: CI/CD support and development. Management of Git repos. Implementation of coding standards through linting. Support of developer workflow processes. Required Skills & Qualifications: Excellent communication and collaboration skills Experience building AWS cloud based solutions. Experience developing APIs (e.g. GraphQL, REST). Experience with SQL/NoSQL databases and data modeling. Experience creating responsive PWA or mobile applications using Ionic or Angular or similar framework. Experienced in software development lifecycle and test methodologies. Follows security best-practices and policies for developing HIPAA compliant software. Experience with CI / CD software and processes. Experience with AWS networking technologies (Route53, VPC’s, Security Groups, CloudFront, etc.) is a plus. Minimum Requirements: Bachelor’s degree in Computer Engineering, Computer Science, or related discipline. Have 7+ years hands on full stack development experience. 2+ years experience developing in TypeScript/JavaScript. Preferred: AWS certification(s). Perks & Benefits: Fully paid medical, dental, and vision benefits. Flexible PTO 401k company contribution Tuition reimbursement Professional development allowance Transportation allowance and daily parking reimbursement Engaging hybrid work environment We are guided by our values: Fire in the belly The drive to learn, to improve, and to deliver outstanding value every day. See the field The ability to see the big picture and prepare to meet tomorrow’s needs. Get it done right The passion to produce at higher rates and to the highest standards. For the greater good A united community creating better health benefit solutions for all. Please note that any communication from our recruiters and hiring managers at ParetoHealth about a job opportunity will only be made by a ParetoHealth employee with an @paretohealth.com address. ParetoHealth does not conduct text message or chat-based interviews. Any other email addresses, agencies, or forums may be phishing scams designed to obtain your personal information. We will not ask you to provide personal or financial information, including, but not limited to, your social security number, online account passwords, credit card numbers, passport information, and other related banking information until we begin onboarding activities, which will be coordinated by a member of the ParetoHealth People Ops Team with an @paretohealth.com email address. Disclosures: ParetoHealth is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status, in any of its activities or operations. These activities include, but are not limited to, hiring and firing of staff, selection of volunteers and vendors, and provision of services. We are committed to providing an inclusive and welcoming environment for all members of our staff, clients, volunteers, subcontractors, vendors, and clients. California Applicants : See Pareto’s CCPA Notice of Collection for California Employees and Applicants for information about how Pareto Captive Services, LLC, Pareto Health, LLC, and Pareto Underwriting Partners, LLC, together with their respective subsidiaries (collectively, “Pareto”) collects and uses personal information submitted by employment applicants.