Business Intelligence Engineer III
About The Position
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. This position is hybrid (work-from-home eligible on some days and on-site on other days). California residents only.
Requirements
- 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
- Epic Cogito Certification within one year of start date.
- One tool-specific certification (Microsoft Certified: Power BI Data Analyst Associate OR Tableau Certified Data Analyst) within one year of start date.
- 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.
- EXPERT knowledge of Microsoft Structured Query Language (SQL) and Microsoft specific relational database concepts.
- EXPERT knowledge of database programming and data analysis.
- ADVANCED knowledge of reporting, analytics, dashboarding, specifically in Power BI.
- ADVANCED knowledge of BI tools and data visualization concepts.
- WORKING knowledge of DAX, calculated measures, semantic models, or tabular models.
- WORKING knowledge of spreadsheet, presentation, database, and documentation tools.
- 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 to complete work in a timely manner.
Responsibilities
- Architect, engineer, and optimize full-stack data products.
- Act as a technical authority, designing complex, end-to-end decision support systems.
- Responsible for the entire product lifecycle: from consultative systems analysis and backend data engineering to frontend application architecture and user experience engineering.
- Full-stack engineering of the department's analytics applications.
- Exercise 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.
- Perform a variety of duties and often change from one task to another of a different nature with frequent interruptions and/or distractions.
Benefits
- Eligible positions also include a comprehensive benefits package.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
