Senior Data Engineer (Requiring GCP)

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. Position Summary We seek a highly skilled Senior Cloud Engineer to join our Medicare Member Experience (MX) data science team. In this role, you will build and maintain the cloud infrastructure, data pipelines, and deployment workflows that turn our team's machine learning models into reliable, production‑grade services that support STARS ratings. You will work across three key areas: cloud data engineering on Google Cloud Platform, backend API development, and DevOps/container orchestration. You will collaborate with data scientists, product owners, and business stakeholders to deliver scalable, well‑architected solutions that move insights from development to production. Required Qualifications 4+ years of industry experience in cloud engineering, data engineering, or platform engineering Hands‑on experience with Google Cloud Platform services (BigQuery, Composer/Airflow, Dataproc, Cloud Storage) Experience building and deploying backend APIs and cloud‑native services Solid expertise with containerization and orchestration (Docker, Kubernetes, GKE) Proficiency in Python for data processing, orchestration, or backend services Strong SQL skills, particularly with BigQuery or similar cloud data warehouses Experience building and operating data pipelines and ETL/ELT workflows in a production environment Experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, Jenkins), including automated testing and environment promotion Understanding of infrastructure‑as‑code, cloud reliability, and production incident response Experience enabling adoption of GenAI capabilities with production‑ready deployment and governance patterns Self‑directed problem solver willing to read documentation, research solutions, and reach out across teams to drive results Strong communication skills, including the ability to explain technical concepts to non‑technical stakeholders Bachelor's degree in computer science, engineering, or related field Preferred Qualifications Experience with Vertex AI (pipelines, model deployment, batch/online inference, or GenAI integration) Practical MLOps experience, including model serving, monitoring, and retraining workflows Experience with distributed data processing frameworks such as Apache Spark or Apache Beam (Dataproc, Dataflow) Experience with Cloud SQL/PostgreSQL and performance optimization for analytical serving patterns Familiarity with healthcare or insurance data ecosystems, or other regulated environments Experience improving platform reliability through observability, documentation, and operational playbooks Experience optimizing cloud infrastructure for cost, performance, and resiliency Experience building internal tools or product‑facing analytics applications Advanced degree in computer science, engineering, or related field Education Bachelor's Degree or equivalent work experience required Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $92,700.00 - $203,940.00. This 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. Benefits We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. A 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, including medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources based on eligibility. EEO Statement Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. #J-18808-Ljbffr