About the role

  • Data Engineer at CVS Health optimizing data pipelines and analytical models. Driving data-driven decisions with healthcare data for improved business outcomes.

Responsibilities

  • Build and optimize analytical data models in BigQuery.
  • Implement partitioning, clustering, and materialized views for performance and cost efficiency.
  • Ensure compliance with data governance, access controls, and IAM best practices.
  • Develop integrations with external systems (APIs, flat files etc.) using GCP-native or hybrid approaches.
  • Utilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run to handle transformations and ingestion logic.
  • Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins for deploying data pipeline code and workflows.
  • Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting to ensure pipeline reliability.

Requirements

  • 1+ years of experience with SQL, NoSQL
  • 1+ years of experience with Python (or a comparable scripting language)
  • 1+ years of experience with Data warehouses (such as data modeling and technical architectures) and infrastructure components
  • 1+ years of experience with ETL/ELT, and building high-volume data pipelines
  • 1+ years of experience with reporting/analytic tools
  • 1+ years of experience with query optimization, data structures, transformation, metadata, dependency, and workload management
  • 1+ years of experience with Big data and cloud architecture
  • 1+ years of hands-on experience building modern data pipelines within a major cloud platform (GCP)
  • 1+ years of experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)
  • 1+ years of experience with real-time and streaming technology (i.e. Kafka, Spark Streaming)

Benefits

  • Affordable medical plan options
  • 401(k) plan (including matching company contributions)
  • Employee stock purchase plan
  • No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs
  • Confidential counseling and financial coaching
  • Paid time off
  • Flexible work schedules
  • Family leave
  • Dependent care resources
  • Colleague assistance programs
  • Tuition assistance
  • Retiree medical access

Job title

Data Engineer

Job type

Experience level

Junior

Salary

$64,890 - $173,040 per year

Degree requirement

Bachelor's Degree

Location requirements

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