Senior Data Engineer: Cloud & On-Prem Data Architect

CVS Health; Springfield (IL); On-site; USD 122,000 - 204,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Retirement plan

Paid time off

Job summary

CVS Health is seeking a Senior Data Engineer to deliver modern data solutions in a fast-paced, collaborative environment. You will design and implement on-prem data pipelines while supporting cloud migrations, working with SQL, Python, and PySpark to support a payer data warehouse.

The role requires strong data modeling skills and experience with cloud platforms (AWS/GCP/Azure) and on‑prem systems (SQL Server, Oracle, Teradata). Excellent communication and ownership are essential.

Qualifications

• 6+ years of experience with SQL and relational databases.
• 3+ years in Cloud Data Engineering Platforms (AWS, GCP, Azure, Databricks, Snowflake).
• 3+ years on-prem data platforms like SQL Server, Oracle, Teradata.
• Programming in SQL, Python, PySpark for cloud and on-prem data warehousing.
• Dimensional data modeling, schema design, and data warehousing expertise.
• Strong troubleshooting and performance improvement skills.
• Effective communication and ownership in fast-paced teams.

Responsibilities

• Deliver high-quality data solutions collaboratively with engineering, analysts, data scientists, and product teams.
• Design, integrate, and implement on-premise data solutions and support cloud migrations.
• Process payer files into the Data Warehouse.

Skills

SQL

Python

PySpark

Data modeling

Dimensional design

Troubleshooting data issues

Performance tuning

Communication

Ownership

Education

Bachelor's degree in Computer Science / Engineering

Tools

Microsoft SQL Server

Oracle

Teradata

AWS

GCP

Azure

Databricks

Snowflake

Job description

CVS Health is seeking a Senior Data Engineer to deliver modern data solutions in a fast-paced, collaborative environment. You will design and implement on-prem data pipelines while supporting cloud migrations, working with SQL, Python, and PySpark to support a payer data warehouse.

The role requires strong data modeling skills and experience with cloud platforms (AWS/GCP/Azure) and on‑prem systems (SQL Server, Oracle, Teradata). Excellent communication and ownership are essential.