Business Intelligence Engineer III, Workday and AI Copilot

Sutter Health is hiring a Business Intelligence Engineer III to architect, engineer, and optimize full-stack data products and end-to-end decision support systems. The role owns the analytics application lifecycle, spanning systems analysis, backend data engineering, frontend application architecture, and user experience engineering.

Responsibilities:

• A specialized mid-level technical professional who exercises independent judgment to architect, engineer, and optimize full-stack data products
• This role acts as a technical authority, designing complex, end-to-end decision support systems
• They are responsible for the entire product lifecycle: from consultative systems analysis and backend data engineering to frontend application architecture and user experience engineering
• Responsible for the full-stack engineering of the department's analytics applications
• This role requires the exercise of discretion to solve novel technical problems, such as engineering complex interactivity patterns, optimizing end-to-end application performance, or designing custom data integration logic for specific business use cases

Requirements:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field
• Equivalent experience will be accepted in lieu of the required degree or diploma
• Requires Workday Reporting Training Certification AND AI/Copilot certification OR other MS certification like Azure, or Fabric
• 3 years of progressive experience in BI Engineering, Data Product Development, or Full Stack Analytics
• Experience independently architecting and managing the full lifecycle of complex data products (from raw data to finished app)
• Experience in data transformation and ETL development (SSIS, ADF) to support reporting needs
• Strong proficiency in both Tableau and Power BI, including advanced interactivity and complex DAX/LOD expressions
• Advanced SQL skills, including deep execution plan analysis and query optimization for visualization tools
• Advanced proficiency in BI Application Engineering (Tableau & Power BI), including complex calculations (LODs, DAX) and performance tuning
• Expert SQL; Advanced DAX or M (Power Query)
• Ability to move fluidly between backend data engineering (SQL/ETL) and frontend application design (Viz/UX)
• Familiarity with CI/CD pipelines for BI (e.g., Azure DevOps, Tabular Editor) and version control (Git)
• Excellent technical communication skills; ability to translate complex business problems into engineered solutions
• Ability to work independently, manage multiple complex projects, and define technical strategy