Senior Data Engineer — Cloud & On-Prem Data Warehouse

Stryker Corporation; Frankfort (KY); On-site; Confidential; Full time

Benefits offered by this job

Health insurance

Retirement savings options

Paid time off

Job summary

CVS Health is seeking a Senior Data Engineer to deliver modern data solutions inside a fast-paced, collaborative team. You will design, integrate, and implement on-premise data workloads while supporting cloud migrations to enable scalable analytics for payer data.

The role emphasizes SQL, Python, PySpark, and dimensional modeling within a data warehouse context, with clear ownership of process improvements and strong communication across teams. 40-hour weeks, full-time employment.

Qualifications

• 4+ years of experience with SQL and relational DBMS.
• 2+ years in Cloud Data Engineering Platforms (AWS, GCP, Azure, Databricks, Snowflake).
• 2+ years on-prem data engineering platforms such as SQL Server, Oracle, Teradata.
• Proficiency in SQL, Python and PySpark for data warehousing solutions.
• Hands-on data modeling, schema design and troubleshooting.
• Ability to own improvements in a fast-paced, collaborative environment.
• Excellent oral and written communication skills.

Responsibilities

• Design, build, and maintain data solutions for our data warehouse.
• Collaborate with engineering, analysts, data scientists and product teams.
• Support migrations of workloads to the cloud and optimize performance.
• Develop and maintain payer data processing pipelines.

Skills

SQL

Cloud data platforms

On-prem data platforms

Python

PySpark

Dimensional data modeling

Troubleshooting

Data warehousing

Team collaboration

Education

Bachelor's degree in Computer Science / Engineering

Job description

CVS Health is seeking a Senior Data Engineer to deliver modern data solutions inside a fast-paced, collaborative team. You will design, integrate, and implement on-premise data workloads while supporting cloud migrations to enable scalable analytics for payer data.

The role emphasizes SQL, Python, PySpark, and dimensional modeling within a data warehouse context, with clear ownership of process improvements and strong communication across teams. 40-hour weeks, full-time employment.