Software Engineer, Workforce Analytics & BI

CVS Health

Jackson (MS)

On-site

USD 83,000 - 222,000

Full time

9 days ago

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Job summary

CVS Health is seeking a Software Engineer for Workforce Insights to develop and operate software across Python services, SQL transformations, and BI integrations. You will translate requirements into maintainable code, tests, and releases, partnering with data and HR specialists to build reliable analytics solutions.

The role emphasizes BigQuery transformations, Airflow workflows, and Superset dashboards, with a focus on security, data quality, and scalable data products.

Qualifications

  • 3+ years professional software development or equivalent production experience.
  • 3+ years Python or equivalent language with maintainable code and tests.
  • 3+ years building APIs, data workflows, or production systems; interfaces & failure modes.
  • 2+ years SQL, BigQuery scripting, partitioning, and optimization.
  • 1+ year experience with BI/semantic layers (Superset, Looker, Power BI, etc.).

Responsibilities

  • Design, implement, test, and maintain features across Python, SQL, and workflow code.
  • Translate requirements into technical tasks; collaborate with data engineers, analysts, and HR partners.
  • Participate in code reviews, improve existing code, and write automated tests.
  • Maintain BigQuery transformations and models for the product.

Skills

Python
SQL
Airflow
BigQuery
GitHub Actions
BI integration
Data modeling

Education

Bachelor's degree

Tools

BigQuery
Cloud Composer
Superset
GitHub Actions
Python tooling

Job description

CVS Health is seeking a Software Engineer for Workforce Insights to develop and operate software across Python services, SQL transformations, and BI integrations. You will translate requirements into maintainable code, tests, and releases, partnering with data and HR specialists to build reliable analytics solutions.

The role emphasizes BigQuery transformations, Airflow workflows, and Superset dashboards, with a focus on security, data quality, and scalable data products.

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