Senior Data Engineer – Cloud & On-Prem Data Warehousing

Stryker Corporation; Washington (District of Columbia); On-site; Confidential; Full time

Job summary

CVS Health is seeking a Senior Data Engineer to deliver high-quality data solutions across on-premise and cloud environments. You will collaborate with engineers, analysts, data scientists, and product teams to reimagine healthcare data infrastructure.

You will design, integrate, and implement data pipelines, migrate workloads to the cloud, and optimize the data warehouse while embracing fast-paced teamwork and best practices.

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 (SQL Server, Oracle, Teradata).
• Programming in SQL, Python, and PySpark for data warehousing.
• Hands-on dimensional data modeling and data warehousing.
• Troubleshooting data issues and applying performance improvements.
• Strong communication and ownership in a fast-paced team.

Responsibilities

• Design, develop, and deploy modern data solutions with cross-functional teams.
• Create and optimize data pipelines for on-prem and cloud environments.
• Migrate workloads to the cloud and support the data warehouse.
• Troubleshoot data issues and drive process improvements.

Skills

SQL

Cloud platforms

Python

PySpark

Data warehousing

Dimensional modeling

Data troubleshooting

Performance tuning

Ownership

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 high-quality data solutions across on-premise and cloud environments. You will collaborate with engineers, analysts, data scientists, and product teams to reimagine healthcare data infrastructure.

You will design, integrate, and implement data pipelines, migrate workloads to the cloud, and optimize the data warehouse while embracing fast-paced teamwork and best practices.