Senior Data Engineer - Cloud & On-Prem Data Warehousing

Stryker Corporation; Raleigh (NC); On-site; Confidential; Full time

Job summary

CVS Health is seeking a Senior Data Engineer to deliver high‑quality data solutions in a fast‑paced, agile environment. You will design and implement on‑prem and cloud data pipelines, migrating workloads to cloud platforms like AWS, GCP, Azure, Databricks, and Snowflake, with a focus on payer data processing.

The role requires 4+ years in SQL/relational DBs, 2+ years in cloud data platforms, and strong Python/PySpark skills, along with solid dimensional modeling and collaboration across teams.

Qualifications

• 4+ years of experience with SQL and relational database management systems.
• 2+ years in Cloud Data Engineering Platforms (AWS, GCP, Azure, Databricks, Snowflake).
• 2+ years of experience in on-prem Data Engineering Platforms such as Microsoft SQL Server, Oracle, Teradata.
• Programming in SQL, Python, and PySpark for cloud and on‑prem data warehousing.
• Hands-on dimensional data modeling, schema design, and data warehousing.
• Hands-on troubleshooting of data issues and performance improvements.
• Strong communication skills and ownership in a fast-paced, collaborative environment.

Responsibilities

• Design, integrate, and implement data solutions in a fast-paced environment.
• Support migrations of workloads to the cloud and maintain on‑prem systems.
• Contribute to the Data Warehouse processing of payer files and related pipelines.

Skills

SQL

Python

PySpark

Cloud Platforms

Data Warehousing

Dimensional Modeling

Troubleshooting

Communication

Education

Bachelor's degree in CS/Engineering

Tools

SQL Server

Oracle

Teradata

AWS

GCP

Azure

Databricks

Snowflake

Job description

CVS Health is seeking a Senior Data Engineer to deliver high‑quality data solutions in a fast‑paced, agile environment. You will design and implement on‑prem and cloud data pipelines, migrating workloads to cloud platforms like AWS, GCP, Azure, Databricks, and Snowflake, with a focus on payer data processing.

The role requires 4+ years in SQL/relational DBs, 2+ years in cloud data platforms, and strong Python/PySpark skills, along with solid dimensional modeling and collaboration across teams.