Senior Data Engineer - Cloud & On-Prem Data Warehousing

Stryker Corporation; Pierre (SD); On-site; Confidential; Full time

Job summary

CVS Health seeks a Senior Data Engineer to design, build, and optimize data pipelines and warehousing across on-prem and cloud platforms. You will collaborate with engineers, analysts, data scientists, and product teams in an agile environment to deliver scalable data solutions.

Required are strong SQL, Python, and PySpark skills, experience with dimensional modeling, and a Bachelor's in Computer Science or Engineering. 40-hour weeks; full-time role with comprehensive benefits.

Qualifications

• 4+ years of SQL and relational DBMS experience.
• 2+ years in cloud data platforms (AWS/GCP/Azure, Databricks, Snowflake).
• 2+ years on-prem data platforms (SQL Server, Oracle, Teradata).
• Proficient in SQL, Python, and PySpark for data warehousing.
• Dimensional modeling, schema design, and DW fundamentals.
• Troubleshooting data issues and performance optimization.
• Strong communication and collaborative work style.
• Willingness to own process improvements.

Responsibilities

• Design, develop, and deliver high-quality data solutions.
• Collaborate with engineers, analysts, data scientists, and product teams.
• Support migrations from on-prem to cloud and optimize data warehouses.
• Ensure data quality, performance, and scalable architectures.

Skills

SQL

Python

PySpark

Troubleshooting

Communication

Ownership

Problem solving

Dimensional modeling

Schema design

Data warehousing

Education

Bachelor's degree in Computer Science / Engineering

Tools

AWS

GCP

Azure

Databricks

Snowflake

Microsoft SQL Server

Oracle

Teradata

Job description

CVS Health seeks a Senior Data Engineer to design, build, and optimize data pipelines and warehousing across on-prem and cloud platforms. You will collaborate with engineers, analysts, data scientists, and product teams in an agile environment to deliver scalable data solutions.

Required are strong SQL, Python, and PySpark skills, experience with dimensional modeling, and a Bachelor's in Computer Science or Engineering. 40-hour weeks; full-time role with comprehensive benefits.