University of California , San Francisco
Workforce Data Engineer
San Francisco, California · Mid
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About the role
- The position requires strong technical skills, sound judgment, and the ability to independently execute complex assignments while escalating novel architectural, governance, or enterprise-wide decisions to senior team members.
- 100% (To update total %, enter the amount of time in whole numbers (without the % symbol - e.g., 15, 20) then highlight the total sum (e.g., 1%) at the bottom of the column and press F9.
Responsibilities
- Partner with workforce analysts, HR stakeholders, and business leaders to understand workforce reporting, analytics, and operational requirements.
- Collaborate with analysts to translate workforce metrics, business rules, and reporting requirements into technical specifications and sustainable data solutions.
- Support development, testing, and validation of new workforce metrics and analytic products.
- Contribute to analytic solution design by providing technical guidance on data structures, integration approaches, and implementation considerations.
- Document business and technical requirements, data definitions, assumptions, and transformation logic.
- Design, develop, maintain, and optimize dimensional data models supporting workforce analytics, operational reporting, and strategic decision-making.
- Build and maintain ETL processes, stored procedures, and SSIS pipelines that support workforce data integration and analytics.
- Leverage UCSF's established Kimball data architecture to develop governed and reusable workforce data assets.
- Develop and maintain technical documentation for data models, pipelines, and data transformations.
- Collaborate with data architects and senior engineers to ensure solutions align with enterprise architecture, governance, and engineering standards.
Requirements
- Bachelor's degree in a related area and/or equivalent experience/training
- Minimum 5 years of experience in data analytics or data management
- 2+ years of experience developing or integrating with APIs for data ingestion (REST/JSON), including secure authentication (OAuth2/API keys) and operational support (logging/monitoring/error handling).
- Experience writing SQL for data extraction, transformation, and analysis.
- Experience integrating data from multiple source systems.
- Experience validating data quality and troubleshooting data issues.
- Ability to communicate effectively with both technical and non-technical audiences.
- Ability to work independently while collaborating effectively within a team.
- Evaluate source system data and identify required data elements to support workforce analytics initiatives.
Nice to have
- Knowledge of Kimball dimensional modeling concepts and data warehousing principles.
- Minimum 3 years of experience performing advanced data analysis using SQL and/or analytic programming languages (e.g., R, Python, Stata, SPSS) T-SQL in Microsoft SQL Management Studio preferred.
This listing is sourced directly from University of California , San Francisco's careers page and normalized into a canonical job model.