Senior Data Engineer: Cloud & On-Prem Data Warehousing

Stryker Corporation; Annapolis (MD); On-site; Confidential; Full time

Job summary

CVS Health is seeking a Senior Data Engineer to deliver modern data solutions in a fast-paced, collaborative environment. You will design, integrate, and implement on-premise solutions while supporting cloud migrations, leveraging SQL, Python, PySpark, and various data platforms.

You will work with engineering, analytics, data science, and product teams to process payer files into our Data Warehouse and help shape a more connected health experience through scalable data architecture 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 platforms (SQL Server/Oracle/Teradata).
• Proficiency with SQL, Python, and PySpark for data warehousing.
• Strong data modeling and schema design experience.

Responsibilities

• Deliver high quality data solutions in collaboration with engineering, analysts, data scientists, and product teams.
• Design, integrate, and implement on-premise and cloud data solutions and migrations.
• Build and maintain data pipelines for processing payer files into the data warehouse.

Skills

SQL

Relational databases

Cloud data engineering

Python

PySpark

Data warehousing

Dimensional modeling

Troubleshooting data issues

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 in a fast-paced, collaborative environment. You will design, integrate, and implement on-premise solutions while supporting cloud migrations, leveraging SQL, Python, PySpark, and various data platforms.

You will work with engineering, analytics, data science, and product teams to process payer files into our Data Warehouse and help shape a more connected health experience through scalable data architecture and