Senior Data Platform Engineer - Azure Databricks (Remote)

CVS Health

Pennsylvania

Remote

USD 102,000 - 204,000

Full time

7 days ago
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Benefits offered by this job

Remote work in US

Job summary

CVS Health is seeking a Senior Data Platform Engineer to build, run, and evolve a production-grade Azure Databricks data platform. You will own pipelines, data quality, observability, and data governance in a regulated healthcare environment.

The role emphasizes software engineering, DevOps discipline, and experience operating production systems. Remote work in the US is supported for this position, with a focus on reliability and scalable data infrastructure.

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 5+ years of progressive experience in software, platform, DevOps/SRE, or data engineering.
  • Strong Python and CI/CD experience with multi-environment deployments.
  • Terraform and cloud data platform administration (Azure & Databricks).
  • Production experience with Spark/PySpark and SQL.

Responsibilities

  • Build and maintain shared Python libraries and configuration-driven frameworks for onboarding and running pipelines.
  • Own GitHub Actions pipelines and release processes promoting assets from sandbox to production.
  • Support production platform reliability, observability, incident response, and runbooks.
  • Collaborate with domain teams to onboard data sources and deliver self-service features.

Skills

Python programming
CI/CD pipelines
GitHub Actions
Spark/PySpark
SQL data modeling

Education

Bachelor's degree or equivalent practical experience

Tools

Azure Databricks
Terraform
Unity Catalog
Delta Lake
ADLS Gen2 / Key Vault

Job description

CVS Health is seeking a Senior Data Platform Engineer to build, run, and evolve a production-grade Azure Databricks data platform. You will own pipelines, data quality, observability, and data governance in a regulated healthcare environment.

The role emphasizes software engineering, DevOps discipline, and experience operating production systems. Remote work in the US is supported for this position, with a focus on reliability and scalable data infrastructure.

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