Senior Data Engineer — Cloud & On-Prem Data Solutions

Stryker Corporation; Phoenix (AZ); On-site; Confidential; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Paid time off

Retirement savings options

Wellness programs

Job summary

CVS Health is seeking a Senior Data Engineer to deliver high-quality data solutions in a fast-paced, agile environment. You will design, integrate, and implement on-premise data workloads while supporting migrations to the cloud, collaborating with engineering, analysts, data scientists, and product teams.

The role focuses on processing payer files into our Data Warehouse and requires 4+ years of SQL experience, 2+ years cloud platforms (AWS/GCP/Azure, Databricks, Snowflake), 2+ years on-prem

Qualifications

• 4+ years of experience with SQL and relational databases.
• 2+ years of experience with cloud data engineering platforms (AWS, GCP, Azure, Databricks, Snowflake).
• 2+ years of experience with on-prem data platforms (SQL Server, Oracle, Teradata).
• Programming in SQL, Python, PySpark for cloud and on-prem warehousing.
• Experience with dimensional data modeling and data warehousing.

Responsibilities

• Deliver high-quality data solutions in a fast-paced, agile environment.
• Design, integrate, and implement on-premise data workloads and cloud migrations.
• Process payer files into the Data Warehouse and support ongoing data engineering initiatives.

Skills

SQL

Python

PySpark

Cloud data platforms

Data modeling

Performance tuning

Communication

Databricks

Snowflake

SQL Server

Oracle

Teradata

Education

Bachelor's degree in CS/Engineering

Tools

Databricks

Snowflake

Microsoft SQL Server

Oracle

Teradata

Job description

CVS Health is seeking a Senior Data Engineer to deliver high-quality data solutions in a fast-paced, agile environment. You will design, integrate, and implement on-premise data workloads while supporting migrations to the cloud, collaborating with engineering, analysts, data scientists, and product teams.

The role focuses on processing payer files into our Data Warehouse and requires 4+ years of SQL experience, 2+ years cloud platforms (AWS/GCP/Azure, Databricks, Snowflake), 2+ years on-prem