Senior Healthcare AI/ML Data Platform Engineer

Stanford Health Care; California; Hybrid; USD 134,000 - 177,000; Full time

Job summary

Stanford Health Care, located in Palo Alto, seeks a Lead Data Engineer to build end-to-end data pipelines and scalable ML infrastructure. You will work within the Data Science Innovation Technology & Digital Solutions group to deploy algorithms that improve patient care, research, and administrative services.

The role reports to the Data Science Director and focuses on designing data flows, implementing ML Ops, mentoring engineers, and collaborating with clinical and operations teams to advance

Qualifications

• 5+ years of experience building data infrastructure for analytics teams.
• Ability to write code in SQL, R, or Python for processing large datasets in distributed cloud environments.
• Experience with cloud deployment strategies and CI/CD.

Responsibilities

• Build end-to-end data pipelines and infrastructure for ML models used by the Data Science team and others at SHC.
• Understand data processing requirements and design interfaces; validate researcher-built or vendor ML algorithms on hospital data.
• Collaborate with SHC groups to ensure servers and system maintenance, security, and data usage meet requirements.

Skills

SQL

Python

R

CI/CD

MLOps

Cloud platforms

Mentoring

Data pipelines

Education

Bachelor’s or Master’s degree in Computer Science/Engineering

Job description

Stanford Health Care, located in Palo Alto, seeks a Lead Data Engineer to build end-to-end data pipelines and scalable ML infrastructure. You will work within the Data Science Innovation Technology & Digital Solutions group to deploy algorithms that improve patient care, research, and administrative services.

The role reports to the Data Science Director and focuses on designing data flows, implementing ML Ops, mentoring engineers, and collaborating with clinical and operations teams to advance