Senior Data Engineer: Cloud & On-Prem Data Warehousing

Stryker Corporation; Bismarck (ND); On-site; Confidential; Full time

Job summary

CVS Health is seeking a Senior Data Engineer to design, build, and optimize modern data solutions in a fast-paced, collaborative environment. The role involves on-premise development and cloud migrations, leveraging SQL, Python, and PySpark to support healthcare data workloads.

You will join a team responsible for processing payer files into our Data Warehouse, partnering with engineering, analytics, data science, and product groups to deliver high-quality data services with reliability and

Qualifications

• 4+ years of experience with SQL and relational databases.
• 2+ years in cloud data engineering platforms (AWS/GCP/Azure, Databricks, Snowflake).
• 2+ years in on-prem data engineering platforms (MS SQL Server, Oracle, Teradata).
• Proficient in SQL, Python, and PySpark for data warehousing tasks.
• Hands-on with dimensional data modeling, schema design, and DW.
• Strong troubleshooting and performance improvement skills.
• Able to identify improvements and work in fast-paced, collaborative teams.
• Excellent spoken and written communication.

Responsibilities

• Design, develop, and deploy data solutions for on-prem and cloud migrations.
• Collaborate across engineering, analytics, data science, and product teams.
• Process payer files into CVS Health's Data Warehouse.
• Support data pipeline maintenance and optimization.

Skills

SQL

Python

PySpark

Cloud platforms (AWS/GCP/Azure)

Data warehousing

Troubleshooting data issues

Communication

Ownership mindset

Education

Bachelor's degree in Computer Science / Engineering

Tools

Microsoft SQL Server

Oracle

Teradata

Databricks

Snowflake

Job description

CVS Health is seeking a Senior Data Engineer to design, build, and optimize modern data solutions in a fast-paced, collaborative environment. The role involves on-premise development and cloud migrations, leveraging SQL, Python, and PySpark to support healthcare data workloads.

You will join a team responsible for processing payer files into our Data Warehouse, partnering with engineering, analytics, data science, and product groups to deliver high-quality data services with reliability and