San Mateo County Health’s Heath IT Division is seeking a well-qualified individual for the position of IS Data Specialist III to join our team.
Under general supervision, performs the most complex and varied technical tasks related to the design, configuration, troubleshooting, maintenance, and monitoring of the County's databases; serves as a technical leader and subject matter expert in specific area(s); performs database performance design and analysis and builds interfaces between enterprise databases and end-user query tools; performs analysis, troubleshoots database problems, and ensures data integrity; creates reports; provides recommendations, support, and training to other information services support staff and County users in areas of responsibility; and performs related work as required
This is the advanced journey-level class in the IS Data Specialist series. Incumbents serve as subject matter experts in specific area(s), perform complex and varied technical support, provide analytical support for County-wide database applications, data-centric systems, data models, and frequently solve problems requiring analysis of unique issues or problems without precedent and/or structure. Incumbents serve as technical lead for assigned projects. Employees at this level are required to be fully trained in all procedures related to assigned area(s) of responsibility, working with a high degree of independent judgment, tact, and initiative.
This role plays a critical part in advancing San Mateo County Health’s data strategy by supporting clinical, operational, and population health analytics. The IS Data Specialist III partners with Health IT, clinical leaders, and operational teams to ensure high-quality, accessible, and actionable data that supports decision-making, regulatory reporting, and improved patient outcomes.
The ideal candidate for this position will have knowledge of the following:
- Healthcare data standards (HL7, FHIR, CCD, etc.)
- Clinical workflows and data capture within EHR systems
- Regulatory and quality reporting (e.g., HEDIS, CMS measures)
- Data warehousing concepts (snowflake schemas)
- Modern data platforms (e.g., SQL Server, Snowflake, Azure, etc.)
- Reporting/BI tools (Tableau, Power BI, EpicSlicerDicer, etc.)
- Data governance and data quality frameworks