Business Intelligence Engineer
About The Position
In this role, your primary responsibilities are (but not limited to): Build and maintain data pipelines that ingest, transform, and deliver data for reporting and analytics Design and develop data models and semantic layers optimized for business intelligence consumption Translate reporting and analytics requirements into performant, well-structured data solutions Implement solutions within the architectural standards and patterns defined by the Data Architect Monitor and tune data systems and models for performance, reliability, and accuracy Document pipeline configurations, data models, and processes to support maintenance and troubleshooting Apply data security and governance standards in alignment with organizational policies Collaborate with analysts and business stakeholders to ensure data meets reporting needs Serve as a technical resource for the analyst team on data modeling and pipeline questions
Requirements
- Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent experience
- 5–7 years of experience in data engineering, business intelligence, or related technical roles
- Proficiency in SQL Server and the Microsoft data platform
- Experience building data models and reports in Power BI
- Proficiency in Python for data processing and automation
- Experience with version control (Git) and collaborative development practices
- Familiarity with data security and governance best practices
Responsibilities
- Build and maintain data pipelines that ingest, transform, and deliver data for reporting and analytics
- Design and develop data models and semantic layers optimized for business intelligence consumption
- Translate reporting and analytics requirements into performant, well-structured data solutions
- Implement solutions within the architectural standards and patterns defined by the Data Architect
- Monitor and tune data systems and models for performance, reliability, and accuracy
- Document pipeline configurations, data models, and processes to support maintenance and troubleshooting
- Apply data security and governance standards in alignment with organizational policies
- Collaborate with analysts and business stakeholders to ensure data meets reporting needs
- Serve as a technical resource for the analyst team on data modeling and pipeline questions
Benefits
- Medical, Dental, and Vision plan options
- Employee Stock Ownership Plan
- 401k Plan
- Vacation, Sick, and Holidays
- Good work-life balance
- WFH Hybrid available for most positions
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
