[Hiring] Senior GCP Data Engineer for Patient Safety Measure Engine @CVS Health

Role Description

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 adherence and avoidance measures.
• Turn the results into reliable, production-grade services that support STARS ratings.
• Work across three key areas: cloud data engineering on Google Cloud Platform, backend API development, and DevOps/container orchestration.
• Collaborate with data scientists, product owners, and business stakeholders to deliver scalable, well-architected solutions that move insights from development to production.

Qualifications

• 3+ years of experience in the Medicare Patient Safety domain with hands-on experience in calculating measure rates for Med-adherence and 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.

Requirements

• 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.

Benefits

• Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families.
• Medical, dental, and vision coverage.
• Paid time off.
• Retirement savings options.
• Wellness programs and other resources, based on eligibility.