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 are looking for a Senior Data Platform Engineer to help build, run, and evolve our Azure Databricks data platform, which ingests, validates, and protects data for the business domain data engineering teams.
We run the platform like a software product: domain teams onboard through configuration, shared Python frameworks handle ingestion, data quality, monitoring, and data protection, and every change ships through code review, automated testing, and CI/CD.
This is not a pure data pipeline role. We want an engineer with software engineering and DevOps discipline and enough data engineering experience to understand what our users need. As the team shifts toward operations, experience running production systems is highly valued.
***We will consider remote in the US for this role
Responsibilities
- Platform Development: Build and maintain the shared Python libraries and configuration-driven frameworks that let domain teams onboard and run their pipelines with minimal platform help.
- CI/CD & Infrastructure as Code: Own the GitHub Actions pipelines and release process that promote Databricks Asset Bundles from sandbox to production, and extend Terraform coverage of our Azure and Databricks infrastructure.
- Operations, Reliability & Recovery: Support the production platform, build enhanced observability, triage incidents, lead root cause analysis, and turn lessons learned into runbooks, automation, and permanent fixes. Track performance, reliability and delivery metrics from a data and platform perspective.
- Security & Governance: Maintain necessary platform and data controls with Unity Catalog, and support sensitive data protection and governance in a regulated healthcare environment.
- Domain Enablement: Partner with domain teams to onboard data sources, resolve escalated issues, and turn recurring needs into self-service features.
Required Experience
3+ years progressive in software, platform, DevOps/SRE, or data engineering, including:
- 2+ years building or operating cloud data platforms or production data systems.
- Software Engineering & CI/CD: Strong Python skills (packaging, modular and testable code, pytest), Git-based code review, and proven experience building CI/CD pipelines (GitHub Actions preferred) for multi-environment deployments.
- Infrastructure as Code: Hands-on Terraform experience managing Azure and Databricks resources.
- Data Engineering: Production experience with Spark/PySpark and SQL, including batch and incremental ingestion, schema evolution, medallion data modeling, and data quality validation.
- Databricks & Azure: Practical experience with Delta Lake, Unity Catalog, Jobs, and Delta Live Tables / Lakeflow (Asset Bundles and system tables a plus), and working knowledge of ADLS Gen2, Entra ID, Key Vault, and cloud networking.
- Operations: Experience supporting production systems in a DevOps, SRE, or platform role: monitoring and alerting, incident response, on-call, root cause analysis, runbooks, and disaster recovery planning.
- Communication: Clear communication and documentation, and the ability to work well on a remote team with technical and business stakeholders.
Preferred Qualifications
- 6+ years progressive in software, platform, DevOps/SRE, or data engineering,
- Disciplined use of AI to accelerate development and analysis, with the same engineering rigor and ownership of AI-assisted work as any other work shipped
- Familiarity with healthcare payer data (X12 834/837, HL7) and HIPAA; HITRUST experience a plus
- Databricks or Azure certifications
Education
Bachelor's degree or equivalent practical experience.
Anticipated Weekly Hours
40Time Type
Full timePay Range
The 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 people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
Additional details about available benefits are provided during the application process and on Benefits Moments.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
Skills Required
- 3+ years of progressive experience in software, platform, DevOps/SRE, or data engineering
- 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
- Hands-on Terraform experience managing Azure and Databricks resources
- Production experience with Spark/PySpark and SQL
- Experience with batch and incremental ingestion, schema evolution, medallion data modeling, and data quality validation
- Practical experience with Databricks, Delta Lake, Unity Catalog, Jobs, and Delta Live Tables or Lakeflow
- Working knowledge of ADLS Gen2, Entra ID, Key Vault, and cloud networking
- Experience supporting production systems, including monitoring, alerting, incident response, on-call, root cause analysis, runbooks, and disaster recovery planning
- Clear communication, documentation skills, and ability to work with remote technical and business stakeholders
- Bachelor's degree or equivalent practical experience
- 6+ years of progressive experience in software, platform, DevOps/SRE, or data engineering
- Experience using AI to accelerate development and analysis while maintaining engineering rigor
- Familiarity with healthcare payer data, including X12 834/837 and HL7, and HIPAA
- HITRUST experience
- Databricks or Azure certifications
What We Do
CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.
