Data Engineer — Cloud & On-Prem Data Warehouse
Quest Oracle Community
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Job summary
CVS Health is seeking a Senior Data Engineer to design, build, and optimize data warehouse solutions for payer data in a fast-paced, collaborative environment. You will work across engineering, analytics, and product teams to deliver scalable data platforms that support cloud migrations and on-prem workloads.
The role emphasizes modern data technologies, dimensional modeling, and hands-on coding with SQL, Python, and PySpark.
Qualifications
- 4+ years of experience with SQL and relational DBMS
- 2+ years in Cloud Data Engineering Platforms (AWS, GCP, Azure, Databricks, Snowflake)
- 2+ years in on-prem Data Engineering Platforms (SQL Server, Oracle, Teradata)
- Programming in SQL, Python, and PySpark to support cloud and on-prem warehousing
- Hands-on with dimensional modeling, schema design, and data warehousing
- Hands-on with troubleshooting data issues
- Willing to drive process improvements in a fast-paced, team-based environment
- Excellent oral and written communication skills
Responsibilities
- Design, integrate, and implement data warehouse solutions
- Collaborate with engineering, analytics, data science and product teams
- Support migrations of workloads to the cloud and optimize performance
- Identify and implement data quality and performance improvements
Skills
Education
Tools
Job description
CVS Health is seeking a Senior Data Engineer to design, build, and optimize data warehouse solutions for payer data in a fast-paced, collaborative environment. You will work across engineering, analytics, and product teams to deliver scalable data platforms that support cloud migrations and on-prem workloads.
The role emphasizes modern data technologies, dimensional modeling, and hands-on coding with SQL, Python, and PySpark.
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