Senior Data Engineer — Cloud & On-Prem Data Warehousing

Stryker Corporation; Oklahoma City (OK); On-site; Confidential; Full time

Job summary

CVS Health is seeking a Senior Data Engineer to design, develop, and deliver high-quality data solutions. You will work with engineering, analysts, data scientists, and product teams in a fast-paced, agile environment to migrate workloads to the cloud and support on-prem and cloud data warehousing efforts.

The role emphasizes modern programming languages, dimensional modeling, data quality, performance tuning, and strong collaboration across teams to reimagine healthcare data processing.

Qualifications

• 4+ years of experience with SQL and relational DBMS.
• 2+ years in Cloud Data Engineering platforms such as AWS, GCP, Azure, Databricks, Snowflake.
• 2+ years with on-prem Data Engineering Platforms such as Microsoft SQL Server, Oracle, Teradata.
• Programming in SQL, Python, and PySpark to support cloud and on-prem warehousing services.
• Hands-on with dimensional data modeling and data warehousing.
• Troubleshooting data issues and applying performance improvements.
• Excellent communication skills.

Responsibilities

• Design, integrate, and implement modern data solutions in collaboration with engineering, analysts, data science, and product teams.
• Process payer files into the Data Warehouse and support migrations to the cloud.
• Work in a fast-paced, agile environment and own data quality initiatives.
• Collaborate cross-functionally to optimize data pipelines and enable data-driven decisions.

Skills

SQL

Cloud data engineering

Python

PySpark

Data warehousing

Dimensional modeling

Data troubleshooting

Communication skills

Education

Bachelor's degree in Computer Science / Engineering

Tools

AWS

GCP

Azure

Databricks

Snowflake

Microsoft SQL Server

Oracle

Teradata

Job description

CVS Health is seeking a Senior Data Engineer to design, develop, and deliver high-quality data solutions. You will work with engineering, analysts, data scientists, and product teams in a fast-paced, agile environment to migrate workloads to the cloud and support on-prem and cloud data warehousing efforts.

The role emphasizes modern programming languages, dimensional modeling, data quality, performance tuning, and strong collaboration across teams to reimagine healthcare data processing.