Senior Data Engineer — Cloud & On-Prem Data Warehousing

Stryker Corporation; Montpelier (VT); On-site; Confidential; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health is seeking a Senior Data Engineer to deliver high‑quality data solutions. You will design, integrate, and implement on‑premise data workloads while supporting cloud migrations.

The role focuses on processing payer files into our Data Warehouse and collaborating with engineers, analysts, and data scientists in a fast‑paced, Agile environment. The ideal candidate has extensive SQL and cloud/on‑prem data warehousing experience, strong modeling skills, and a passion for data quality and

Qualifications

• 4+ years of experience with SQL and relational databases
• 2+ years in Cloud Data Engineering Platforms (AWS, GCP, Azure, Databricks, Snowflake, etc.)
• 2+ years on-prem Data Engineering Platforms (MS SQL Server, Oracle, Teradata)
• Programming in SQL, Python, PySpark for data warehousing
• Hands-on dimensional data modeling and schema design
• Hands-on troubleshooting of data issues
• Experience with performance improvement techniques
• Willingness to drive process improvements and work in fast-paced teams
• Excellent oral and written communication skills

Skills

SQL & RDBMS

Cloud data platforms

On-prem data platforms

SQL/Python/PySpark

Dimensional modeling

Troubleshooting data

Performance tuning

Process improvements

Communication skills

Education

Bachelor's degree in CS/Engineering

Job description

CVS Health is seeking a Senior Data Engineer to deliver high‑quality data solutions. You will design, integrate, and implement on‑premise data workloads while supporting cloud migrations.

The role focuses on processing payer files into our Data Warehouse and collaborating with engineers, analysts, and data scientists in a fast‑paced, Agile environment. The ideal candidate has extensive SQL and cloud/on‑prem data warehousing experience, strong modeling skills, and a passion for data quality and