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 ambiguous business needs into robust full-stack technical solutions, owns system architecture and performance strategy, and mentors engineers to strengthen the department’s engineering maturity. The position requires expertise across the full BI stack, from database optimization to application UX architecture, and responsibility for solving complex, ambiguous problems spanning multiple systems. It also serves as a primary technical advisor to leadership and formally mentors other engineers. The position is hybrid, with two days per week in the Sacramento office and some work-from-home days. California residents only. This is a regular, exempt, full-time position scheduled for 40 hours per week, Monday through Friday, on the day shift. Epic Cogito certification and multiple tool-specific certifications are required within one year of the start date. The annual pay range is $129,188.80 to $193,793.60.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field; equivalent experience may be accepted in lieu of the degree.
- Epic Cogito Certification within one year of the start date.
- Multiple tool-specific certifications within one year of the start date.
- 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 full Microsoft BI stack (SSIS, SSAS, SSRS, Power BI) and Tableau architecture.
- Expertise in data modeling, including 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.
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.
- Architect and design new, complex data solutions and data marts from scratch.
Benefits
- Comprehensive benefits package for eligible positions.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
