Senior Data Engineer — Cloud Data Platform & Warehousing

CVS Health Corporation

Madison (WI)

On-site

USD 83,000 - 222,000

Full time

3 days ago
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Job summary

CVS Health Corporation in Madison, WI is seeking a Senior Data Engineer to deliver modern data solutions across on-premise and cloud environments, collaborating with engineering, analytics, data science, and product teams.

The role focuses on processing Claims, Revenue, Medicare files from 30+ payors into our Data Warehouse, using SQL, Python, PySpark, Databricks, and Azure.

Bachelor's degree preferred; 40 hours/week; competitive pay and benefits.

Qualifications

  • 5+ years of experience with SQL and relational databases
  • 3+ years of experience in Cloud technologies
  • 3+ years of experience with Microsoft SQL Server
  • 3+ years of experience with Databricks
  • Familiarity with Azure
  • Programming in SQL, Python, and PySpark
  • Hands-on data warehousing and dimensional data modeling
  • Hands-on troubleshooting and performance improvement skills
  • Excellent oral and written communication
  • Willingness to own improvements and work in fast-paced environment

Responsibilities

  • Deliver high-quality modern data solutions through collaboration with engineering, analysts, data science and product teams.
  • Design, integrate and implement on‑prem data warehousing solutions and support migrations to the cloud.
  • Process and load data from payors (30+ sources) into our Data Warehouse.
  • Troubleshoot data issues and optimize data flows and performance.
  • Proactively identify improvements and best practices in a fast-paced, team-based setting

Skills

SQL & RDBMS
Cloud tech
MS SQL Server
Databricks
Azure
Python / PySpark
Data warehousing
Data modeling
Troubleshooting
Process improvement
Communication

Education

Bachelor's degree in CS or related field

Job description

CVS Health Corporation in Madison, WI is seeking a Senior Data Engineer to deliver modern data solutions across on-premise and cloud environments, collaborating with engineering, analytics, data science, and product teams.

The role focuses on processing Claims, Revenue, Medicare files from 30+ payors into our Data Warehouse, using SQL, Python, PySpark, Databricks, and Azure.

Bachelor's degree preferred; 40 hours/week; competitive pay and benefits.

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