Senior Data Engineer - Healthcare Data Warehousing

Stryker Corporation; Providence (RI); On-site; Confidential; Full time

Job summary

CVS Health is seeking a Senior Data Engineer to deliver modern data solutions in collaboration with engineering, analysts, data scientists, and product teams. The role focuses on designing and implementing on‑premise data solutions while supporting migrations to the cloud, with emphasis on payer data processing for the Data Warehouse.

Ideal candidates have 4+ years in SQL with relational DBMS, 2+ years on cloud platforms (AWS/GCP/Azure/Databricks/Snowflake) and 2+ years on on‑prem platforms (SQL

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 (SQL Server, Oracle, Teradata).
• Programming in SQL, Python, PySpark for cloud and on‑prem data warehousing.
• Dimensional data modeling, schema design, and data warehousing.
• Troubleshooting data issues.
• Ownership mindset in a fast-paced, collaborative environment.
• Excellent oral and written communication skills.

Responsibilities

• Deliver high-quality data solutions in collaboration with engineering, analysts, data scientists and product teams.
• Design, integrate, and implement on-premise data solutions and support cloud migrations.
• Work in a fast-paced, agile environment to process payer files into the Data Warehouse.

Skills

SQL

Cloud platforms

AWS

GCP

Azure

Databricks

Snowflake

On-prem data warehousing

Python

PySpark

Dimensional data modeling

Data troubleshooting

Performance tuning

Ownership / initiative

Communication skills

Education

Bachelor's degree in CS/Engineering

Tools

SQL Server

Oracle

Teradata

Job description

CVS Health is seeking a Senior Data Engineer to deliver modern data solutions in collaboration with engineering, analysts, data scientists, and product teams. The role focuses on designing and implementing on‑premise data solutions while supporting migrations to the cloud, with emphasis on payer data processing for the Data Warehouse.

Ideal candidates have 4+ years in SQL with relational DBMS, 2+ years on cloud platforms (AWS/GCP/Azure/Databricks/Snowflake) and 2+ years on on‑prem platforms (SQL