Base: $66.52 - $88.14 ph; bonus/equity: not specif...
Not specified (assumed to be onsite based on job context)
7+ years reporting analytics bi healthcare technology
3+ years cloud data lake development experience
Advanced relational database design and modeling skills
Stanford Health Care is seeking a Senior Enterprise Data Engineer to develop data ingestion processes, create data pipelines, and automate operational processes to enhance patient experience and outcomes. The role requires extensive experience in data engineering, cloud technologies, and a strong understanding of data governance principles
Job Summary
This role is responsible for designing and creating complex pipelines and curated data structures to improve patient experience and research capabilities.
The Senior Enterprise Data Engineer will collaborate with leaders to implement secure, highly automated production solutions using cloud technologies like Azure and Databricks.
Candidates must possess an advanced understanding of data domains and actively participate in defining standards while managing multiple complex projects across departments.
Matching Summary
Match Score: 85
Stanford Health Care is seeking a Senior Enterprise Data Engineer to develop data ingestion processes, create data pipelines, and automate operational processes to enhance patient experience and outcomes. The role requires extensive experience in data engineering, cloud technologies, and a strong understanding of data governance principles.
Salary
Base: $66.52 - $88.14 per hour; Bonus/Equity: Not specified; Benefits: Not specified
Skills & Requirements
Must-have
7+ years reporting analytics BI healthcare technology
3+ years cloud data lake development experience
Advanced relational database design and modeling skills
Expert SQL knowledge and PySpark proficiency
DevOps CI/CD orchestration process implementation
Azure DataBricks cloud platform deployment
Nice-to-have
Strong leadership and peer review capabilities
Effective communication with senior management
Active participation in data governance stewardship
Ability to work without direct supervision
Experience tuning performance of complex solutions
Key Requirements
BS/BA degree in IT, IS, Business Management, or related field
7+ years experience in reporting, analytics, BI, or healthcare technology
3+ years development experience in cloud data lake technologies
Expert knowledge of SQL and relational database concepts
Proficiency with DevOps, CI/CD, and orchestration processes