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CVS Health

Data Engineer

CVS Health

Data Engineer responsible for building and optimizing data models and pipelines at CVS Health. Collaborating across teams to deliver data-driven insights and tools for business needs.

Posted 5/9/2026full-timeWellesley • Connecticut, Massachusetts, Vermont • 🇺🇸 United StatesJunior💰 $64,890 - $173,040 per yearWebsite

Tech Stack

Tools & technologies
BigQueryCloudETLGoogle Cloud PlatformJavaJenkinsNoSQLPythonSQL

About the role

Key responsibilities & impact
  • 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 using GCP-native or hybrid approaches
  • Utilize tools like Dataflow or custom Python/Java services on Cloud Functions or Cloud Run
  • Build automated CI/CD pipeline using Cloud Build, GitHub Actions, or Jenkins
  • Set up observability using Cloud Monitoring, Cloud Logging, and Error Reporting

Requirements

What you’ll need
  • 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 and infrastructure components
  • 1+ years of experience with ETL/ELT, building high-volume data pipelines
  • 1+ years of experience with reporting/analytic tools
  • 1+ years of experience with query optimization and data structures
  • 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
  • 1+ years of experience with real-time and streaming technology
  • Bachelor’s Degree or equivalent work experience in Computer Science or related field required
  • Google Professional Data Engineer Certification preferred

Benefits

Comp & perks
  • medical, dental, and vision coverage
  • paid time off
  • retirement savings options
  • wellness programs
  • other resources

ATS Keywords

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Hard Skills & Tools
SQLNoSQLPythonJavaETLELTdata pipelinesquery optimizationBigQuerydata models
Certifications
Google Professional Data Engineer Certification