Senior Data Engineer - Cloud & On-Prem Data Warehousing

Stryker Corporation; Austin (TX); On-site; Confidential; Full time

Benefits offered by this job

Medical, dental and vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health is seeking a Senior Data Engineer to deliver modern data solutions, integrating on-prem and cloud data warehousing. You will design and implement data solutions, migrate workloads to the cloud, and collaborate with cross-functional teams in a fast-paced environment.

The role emphasizes SQL, Python, PySpark, dimensional modeling, and data quality. A Bachelor's in CS/Engineering is required, with strong communication skills and 40-hour work week.

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 like SQL Server, Oracle, Teradata.
• Programming in SQL, Python, and PySpark to support data warehousing.
• Hands-on dimensional modeling and data warehousing development.
• Troubleshooting data issues and applying performance improvements.
• Willingness to own initiatives in a fast-paced, team-based environment.
• Excellent oral and written communication skills.

Responsibilities

• Design, integrate, and implement data solutions in a fast-paced, agile environment.
• Process payer files into the Data Warehouse and support migrations to the cloud.
• Collaborate with engineering, analysts, data scientists, and product teams.
• Apply best practices for data quality, governance, and performance.

Skills

SQL

Cloud Platforms

On-Prem Platforms

Python

PySpark

Dimensional Modeling

Data Warehousing

Troubleshooting

Performance Tuning

Ownership & Collaboration

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 deliver modern data solutions, integrating on-prem and cloud data warehousing. You will design and implement data solutions, migrate workloads to the cloud, and collaborate with cross-functional teams in a fast-paced environment.

The role emphasizes SQL, Python, PySpark, dimensional modeling, and data quality. A Bachelor's in CS/Engineering is required, with strong communication skills and 40-hour work week.