
Senior Data Platform Engineer (Databricks, Python)
CVS Health1 day ago
Base Salary
$102k - $204k/yr
Responsibilities
- Build and maintain shared Python libraries and configuration-driven frameworks for data ingestion, quality, monitoring, and protection.
- Own GitHub Actions pipelines and the release process for promoting Databricks Asset Bundles across environments.
- Extend Terraform coverage for Azure and Databricks infrastructure.
- Support production operations through observability improvements, incident triage, root cause analysis, runbooks, automation, and permanent fixes.
- Maintain platform and data controls with Unity Catalog and support sensitive-data governance.
- Partner with domain teams to onboard sources, resolve escalated issues, and create self-service platform features.
Requirements
- At least 3 years of progressive experience in software, platform, DevOps/SRE, or data engineering, including at least 2 years building or operating cloud data platforms or production data systems.
- Strong Python skills including packaging, modular and testable code, and pytest.
- Experience with Git-based code review and CI/CD pipelines for multi-environment deployments, preferably with GitHub Actions.
- Hands-on Terraform experience managing Azure and Databricks resources.
- Production experience with Spark/PySpark and SQL, including batch and incremental ingestion, schema evolution, medallion data modeling, and data quality validation.
- Practical experience with Delta Lake, Unity Catalog, Jobs, Delta Live Tables or Lakeflow, and working knowledge of ADLS Gen2, Entra ID, Key Vault, and cloud networking.
- Experience supporting production systems in a DevOps, SRE, or platform role, including monitoring, alerting, incident response, on-call support, root cause analysis, runbooks, and disaster recovery planning.
- Clear communication and documentation skills, with the ability to work with technical and business stakeholders on a remote team.
- Preferred qualifications include 6+ years of progressive experience, disciplined use of AI in development and analysis, familiarity with healthcare payer data such as X12 834/837 and HL7, HIPAA and HITRUST experience, and Databricks or Azure certifications.
Benefits
- Full-time position with a 40-hour anticipated workweek.
- Remote work in the United States is considered.
- Benefits include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other well-being resources based on eligibility.
- Eligible for a CVS Health bonus, commission, or short-term incentive program in addition to base pay.
- The anticipated application window closes on 11/29/2026.
Categories
Data EngineeringDevOps
About CVS Health
CVS Health is a U.S. health care company that operates thousands of retail pharmacies, runs the CVS Caremark pharmacy benefits manager, and owns the Aetna health insurance business. It sells prescriptions, retail health goods, and insurance plans, and provides primary and urgent care through MinuteClinic and other services for consumers, employers, and government programs. Founded in 1963 and headquartered in Woonsocket, Rhode Island, it is a public company traded on the NYSE.