Business Intelligence Engineer IV
About The Position
A senior technical leader who architects, engineers, and delivers complex, enterprise-level data product ecosystems. The role translates highly ambiguous business needs into robust full-stack technical solutions, owns system architecture and performance strategy, and mentors a team of engineers to elevate the department’s engineering maturity. The position requires expertise across the full BI stack, from database optimization to application UX architecture, and solves complex, ambiguous problems spanning multiple systems. It also serves as a primary technical advisor to leadership and formally mentors other engineers. This is a hybrid position for California residents, with two required in-office days each week in Sacramento and work-from-home eligibility on other days. The schedule is full-time, Monday through Friday, day shift, 40 hours per week. The position is exempt and regular.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field; equivalent experience is accepted in lieu of the degree.
- Five years of progressive, hands-on experience in BI Engineering, Data Product Development, or Full Stack Analytics.
- Experience architecting and designing new, complex data solutions and data marts from scratch.
- Experience translating ambiguous business requirements into robust technical solutions.
- Experience formally mentoring other engineers.
- Expert-level full-stack skills in SQL, ETL, data modeling, and application design in a hybrid environment.
- Expert proficiency in Tableau and Power BI.
- Expert-level SQL skills, including advanced performance tuning and database optimization.
- Expertise in the MS BI Stack (SSIS, SSAS, SSRS, and Power BI) and Tableau architecture.
- Expertise in data modeling (Star Schema and Snowflake) and data warehouse architecture.
- Deep knowledge of ALM, CI/CD, and DevOps for analytics.
- Ability to solve complex, ambiguous problems with minimal guidance.
- Excellent communication, presentation, and negotiation skills.
- Epic Cogito Certification within one year of start date.
- Multiple tool-specific certifications within one year of start date.
Responsibilities
- Architect, engineer, and deliver complex, enterprise-level data product ecosystems.
- Translate ambiguous business needs into robust full-stack technical solutions.
- Own system architecture and performance strategy.
- Solve complex, ambiguous problems that span multiple systems.
- Act as a primary technical advisor to leadership.
- Formally mentor other engineers and elevate the department’s engineering maturity.
Benefits
- Comprehensive benefits package for eligible positions.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
