Senior Business Intelligence Engineer (Power BI)
Experience level: 5+ years
Function: Data & Analytics / Business Intelligence
Engagement type: Client-facing delivery (consulting / embedded analytics)

About the Role
We're looking for a Senior BI Engineer who can own the full lifecycle of analytics delivery, from data modeling in the warehouse through to polished, secure, production-grade Power BI reporting embedded in client-facing applications. This is a hybrid technical and consultative role. You'll build the reports, engineer the data behind them, and communicate directly with client stakeholders about priorities, trade-offs, and progress.
You'll work on a mature analytics program spanning executive dashboards, member/partner performance reporting, geospatial analytics, embedded portal analytics, and emerging AI-driven conversational analytics. The right person is equally comfortable debugging a row-level security conflict in DAX, tuning a Snowflake view, and explaining a data limitation to a non-technical business owner in plain language.

Must-Have Qualifications




• 5+ years of hands-on BI/analytics engineering experience, with a robust concentration in Power BI.
• Expert-level DAX and Power Query / M, able to write, optimize, and debug complex measures and transformations.
• Strong data modeling fundamentals (star schema, relationships, cardinality, and their impact on report behavior).
• Deep, practical experience with row-level security in Power BI and its edge cases around export and embedding.
• Advanced SQL (required) and solid experience with a cloud data warehouse. Snowflake strongly preferred (or Redshift/BigQuery/Synapse with willingness to ramp on Snowflake).
• Python (required) for data work, including API integration, data prep/transformation, notebook-based workflows, and automation/scripting.
• Solid grasp of data warehousing and ELT/ETL concepts and best practices.
• Discipline around data validation, QA, and testing, plus awareness of data gove

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