> Markdown version of [/jobs/ext/4644680-business-intelligence-engineer-iii-workday-and-ai-copilot](https://www.wearedevelopers.com/jobs/ext/4644680-business-intelligence-engineer-iii-workday-and-ai-copilot). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Business Intelligence Engineer III, Workday and AI Copilot - **Company:** Sutter Health - **Location:** United States - **Experience:** Experienced - **Salary:** $117,437 - $176,155 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Applications Architecture, Application Performance Management, Microsoft Azure, Information Systems, Information Engineering, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Visualization, Decision Support Systems, DevOps, Design of User Interfaces, Human-Computer Interaction, Systems Analysis, Performance Tuning, Query Optimization, Raw Data, Power BI, Microsoft Copilot, Software Engineering, SQL Databases, SQL Server Integration Services, Tableau (Software), Sql Optimization, Backend, Git, Powerquery, Information Technology, Front End Software Development, Workday Reporting, Software Version Control, Workday, AI Co-pilot - **Published:** November 9, 2026 - **Apply:** https://www.careerbuilder.com/job-details/business-intelligence-engineer-iii-workday-and-ai-copilot-id--ae23208e-e89b-41c4-b0a0-5896362fc919 ## About the Role Business Intelligence, Artificial Intelligence (AI), Systems Analysis, Product Lifecycle, Decision Support, User Interface/Experience (UI/UX), Software Engineering, Technical/Engineering Design, Use Cases, Business Case, Equivalent experience will be accepted in lieu of the required degree or diploma Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field CERTIFICATION & LICENSURE: * Requires Workday Reporting Training Certification AND AI/Copilot certification OR other MS certification like Azure, or Fabric. The first certification must be completed within one year of start date, and the second within six months of completing the first., * 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. SKILLS AND KNOWLEDGE: * 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. * Engineering: Advanced proficiency in BI Application Engineering (Tableau & Power BI), including complex calculations (LODs, DAX) and performance tuning. * Languages: Expert SQL; Advanced DAX or M (Power Query). * Full Stack: Ability to move fluidly between backend data engineering (SQL/ETL) and frontend application design (Viz/UX). * DevOps: Familiarity with CI/CD pipelines for BI (e.g., Azure DevOps, Tabular Editor) and version control (Git). * Consulting: Excellent technical communication skills; ability to translate complex business problems into engineered solutions. * Autonomy: Ability to work independently, manage multiple complex projects, and define technical strategy. ## Description 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.