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.
Job Summary:
We seek a highly skilled Senior GCP Data Engineer to join our Medicare Patient Safety Data Engineering team. In this role, you will build and maintain the cloud infrastructure, data pipelines, and deployment workflows that calculate measure ratings for the med adhreance and avoidance measures and turning the results 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:
- 3+ years of experience on the Medicare Patient Safety domain with hands on experience in calculating measure rates for Med-adherence, Med-avoidance measures.
- 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
Recommended:
- Experience with Vertex AI (pipelines, model deployment, batch/online inference, or GenAI integration)
- Practical MLOps experience, including model serving, monitoring, and retraining workflows