Drimva

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Lead Business Intelligence Engineer

$162K–$284K

Bellevue, Washington +1 · Full-time · Posted Sep 25, 2026

Location
Bellevue, Washington
Los Angeles, California
Experience
6+ years in a relevant field; alternatively, a Master’s degree in a technical field plus 5+ years of post-grad experience, or a PhD in a related technical field plus 2+ years of post-grad experience. Also requires 6+ years with SQL or similar query languages and a programming language, and 3+ years building end-user analytics solutions.
Education
BS/BA degree in a technical field or a research-based social science field.

About the job

Leads People Team business intelligence and analytics engineering initiatives, building data products and translating analysis into insights that support data-informed decisions.

What you'll do

  • Lead BI and analytics engineering work from problem definition through delivery, including scalable pipelines, models, and self-service analytics.
  • Own data products end-to-end, ensuring quality, reliability, documentation, monitoring, and continuous improvement.
  • Analyze data and communicate insights and recommendations; provide technical guidance and mentorship.

What they ask for

  • Advanced SQL and Python skills and ability to build reliable data pipelines, models, and analytics solutions.
  • BS/BA in a technical or research-based social science field.
  • Experience designing dashboards, reports, and end-user analytics solutions using visualization tools.
  • Ability to apply analytical and statistical methods and communicate findings across technical and business audiences.

Nice to have

  • MA/MS in a technical and/or research-based field.
  • Hands-on Google Cloud Platform experience, including BigQuery and Airflow.

Pay

$190,000-$284,000 annually (base salary, Zone A); $181,000-$270,000 annually (base salary, Zone B); $162,000-$241,000 annually (base salary, Zone C)

Tools

SQL, Python, BigQuery, Airflow, Visier, Looker, Posit, Tableau

AI focus

Use AI-assisted development and analytics tools responsibly.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 4, 2026 (UTC)