Senior Data Engineer

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.The Senior Data Engineer within the AI Platform team is responsible for designing, building, and scaling enterprise-grade data pipelines and data services that power AI/ML applications, analytics, and operational intelligence use cases.The team focuses on enabling secure, high-quality, and real-time data access across enterprise platforms, including data ingestion, transformation, API integration, and feature engineering to support machine learning workflows.This role partners closely with AI/ML engineers, platform engineering (CAP/EDP), and product teams to develop scalable and compliant data solutions that support healthcare use cases, including handling PHI/PII data under strict governance and security standards. The position plays a key role in modernizing data platforms, enabling reusable data services, and improving performance, reliability, and observability of enterprise data systems.Required Qualifications5+ years of experience in Data Engineering, Software Engineering, or related field3+ years of hands-on experience developing ETL/ELT pipelines using tools/frameworks such as Spark, Databricks, or similar distributed processing systemsStrong proficiency in SQL and at least one programming language such as Python or ScalaExperience working with at least one cloud platform (AWS, Azure, or GCP)Experience designing and implementing data pipelines for batch and/or streaming data processingExperience with data modeling, data warehousing, or lakehouse architecturesExperience integrating systems using APIs, event-driven architectures (e.g., Kafka), or microservicesExperience implementing data quality, validation, and monitoring frameworksExperience working with large-scale structured and unstructured datasetsExperience handling sensitive data (PHI/PII) or working in regulated environmentsExperience using version control (e.g., Git) and CI/CD pipelinesPreferred Qualifications (non-measurable / Behavioral / Exposure-based)Strong problem-solving and analytical thinking skillsAbility to design scalable, reusable, and resilient data solutions aligned with enterprise platformsExperience collaborating with cross-functional teams including AI/ML, product, and platform engineeringFamiliarity with AI/ML workflows, feature engineering, and model data pipelinesUnderstanding of healthcare data domains such as claims, customer care, or clinical dataKnowledge of data observability, lineage, and monitoring best practicesExperience contributing to platform modernization initiatives (e.g., API gateway migration, data platform consolidation)Ability to mentor junior engineers and contribute to technical design reviewsStrong communication skills with ability to translate business needs into technical solutionsEducationBachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Engineering, or related discipline requiredMaster’s degree preferredAnticipated Weekly Hours40Time TypeFull timePay RangeThe Typical Pay Range For This Role Is$101,970.00 - $203,940.00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.Great Benefits For Great PeopleWe take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.Additional details about available benefits are provided during the application process and on Benefits Moments.We anticipate the application window for this opening will close on: 05/29/2026Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.