UCSF Health · 45 minutes ago
Workforce Data Engineer
San Francisco, CA
Full-time
Onsite
Senior Level
$144K/yr - $216K/yr
5+ years expUCSF Health is a leading healthcare institution committed to innovative patient care and advanced research. They are seeking a Workforce Data Engineer to support the maintenance of the Master Person Registry and to design, develop, and validate workforce data models, integrating traditional and AI-augmented approaches for reliable analytics.
BiotechnologyEducationHealth CareHospitalMedical
Responsibilities
Support maintenance of UCSF’s governed Master Person Registry (Person Dimension)
Design, develop, and validate workforce data models that integrate traditional and AI-augmented approaches
Leverage dimensional modeling principles (Kimball methodology) and SSIS-supported data pipelines to integrate data from multiple enterprise sources
Create reliable analytic datasets and metrics
Monitor and validate results, including those generated by AI on platforms such as Power BI/Data Fabric, Databricks, and Tableau Pulse
Tune inputs, thresholds, and feature selections to ensure accuracy, relevance, and business alignment
Serve as a liaison with external vendors and evaluate analytic solutions and dashboards for quality, transparency, and adherence to both Kimball and enterprise standards
Translate complex analytic findings into clear, actionable insights, dashboards, and visualizations for leadership
Guide data-driven decisions while maintaining rigorous standards for governance, privacy, and security
Qualification
Required
Bachelor's degree and a minimum of 5 years' experience in data analytics or data management; or an equivalent combination of education and experience
Minimum 4 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
Demonstrated experience integrating data from multiple enterprise systems for analytic purposes
Experience developing analytic datasets, metrics, and dashboards supporting decision-making
Working knowledge of data warehouse concepts, ETL principles, and analytic data modeling
Hands-on experience developing and supporting SSIS pipelines for analytic data preparation
Strong written and verbal communication skills, including with internal and external stakeholders
Demonstrated ability to validate, interpret, and contextualize analytic outputs
Professionalism and discretion in handling sensitive and confidential workforce data
Demonstrated ability to work with others from diverse backgrounds. Demonstrated effective communication and interpersonal skills. Demonstrated service orientation skills
Demonstrated ability to communicate technical information to technical and non-technical personnel at various levels in the organization
Self-motivated and works independently and as part of a team. Able to self-manage projects once priorities are set
Demonstrated advanced problem-solving skills. Able to learn effectively and meet deadlines
Preferred
Experience applying Kimball dimensional modeling principles in analytic datasets
Experience with PeopleSoft HCM or similar HR systems; Experience with workforce analytics or people-related data
3+ years of experience integrating data from diverse sources and formats, including delimited text files (CSV/TSV/PSV), fixed-width files, JSON, XML, YAML, Parquet/Avro/ORC, and Excel (XLS/XLSX), as well as relational databases via ODBC/JDBC
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)
Company
UCSF Health
UCSF Health offers healthcare services in the areas of cancer, heart disorders, neurological disorders, organ transplants, and more.
5001-10000 employees
Funding
Current Stage
Late StageLeadership Team
Elizabeth Engel
Vice President and Chief of Staff to the CEO
Suresh Gunasekaran
President & Chief Executive Officer
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