Senior Data Engineer - Cloud Data Warehouse (Remote)

CVS Health Corporation; Illinois; On-site; USD 102,000 - 204,000; Full time

Job summary

CVS Health Corporation in Illinois is seeking a Senior Data Engineer to deliver high-quality data solutions in a fast-paced, collaborative environment, helping design and migrate workloads to the cloud while supporting on-prem systems.

You will work with engineering, analysts, data scientists, and product teams to build scalable data warehouses, implement dimensional modeling, and optimize performance, all while maintaining strong communication and ownership.

Qualifications

• 6+ years of experience with SQL and relational DBMS.
• 3+ years of experience in Cloud Data Engineering Platforms (AWS, GCP, Azure, Databricks, Snowflake).
• 3+ years of experience with on-prem Data Engineering Platforms (MS SQL Server, Oracle, Teradata).
• Programming in SQL, Python, and PySpark for data warehousing services.
• Hands-on experience with dimensional data modeling, schema design, and data warehousing.
• Hands-on troubleshooting data issues and performance improvements.
• Excellent oral and written communication skills.

Responsibilities

• Design, implement, and operate data solutions in a fast-paced, collaborative environment.
• Collaborate with engineers, analysts, data scientists, and product teams.
• Support migrations of workloads to cloud and on-prem environments.
• Build scalable data pipelines and optimize data quality and performance.

Skills

SQL

RDBMS

Cloud Platforms

Python

PySpark

Data Warehousing

Dimensional Modeling

Troubleshooting

Process Improvement

Communication Skills

Education

Bachelor’s degree in Computer Science / Engineering

Job description

CVS Health Corporation in Illinois is seeking a Senior Data Engineer to deliver high-quality data solutions in a fast-paced, collaborative environment, helping design and migrate workloads to the cloud while supporting on-prem systems.

You will work with engineering, analysts, data scientists, and product teams to build scalable data warehouses, implement dimensional modeling, and optimize performance, all while maintaining strong communication and ownership.