Senior Enterprise Data Engineer: Data Pipelines & Platforms

Stanford Health Care; California (MO); Hybrid; USD 190,607,000 - 252,557,000; Full time

Job summary

Stanford Health Care in California is seeking a Senior Enterprise Data Engineer to design and build complex data pipelines for the SHC Enterprise Data Platform. You will enable data products that improve patient outcomes and research capabilities while collaborating with data analysts and engineers.

The role emphasizes DevOps, data governance, and scalable solutions across the SHC environment, with hybrid work and opportunities to lead cross-functional initiatives.

Qualifications

• BS/BA degree in IT, information systems, business analytics or related field required.
• 7+ years in reporting, analytics, BI or healthcare tech; or 3+ years with cloud data lake tech and DevOps.
• Advanced SQL and data modeling skills; experience translating business needs into data designs.
• Experience deploying production solutions in cloud platforms with automation.

Responsibilities

• Design and build complex data pipelines and data marts for analysts.
• Maintain performance of data modeling tools and DevOps processes.
• Explore new technologies to improve development and operations efficiency.
• Lead and participate in cross-functional project teams across SHC.

Skills

SQL

Data modeling

Cloud platforms

PySpark

Notebooks

DevOps

Communication

Independent work

Education

BS/BA in IT or related field

Tools

Databricks

GitHub

Azure

Job description

Stanford Health Care in California is seeking a Senior Enterprise Data Engineer to design and build complex data pipelines for the SHC Enterprise Data Platform. You will enable data products that improve patient outcomes and research capabilities while collaborating with data analysts and engineers.

The role emphasizes DevOps, data governance, and scalable solutions across the SHC environment, with hybrid work and opportunities to lead cross-functional initiatives.