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Broccoli AI

Founding Data Analytics Engineer

San FranciscofulltimemidAdded today

About this role

Broccoli seeks a founding data analytics engineer to build and own the company's unified data layer. You'll design production pipelines, create clean data models, and establish a source-of-truth library that powers customer dashboards, internal analytics, and AI-ready datasets across the organization.

What you'll do

  • Design and operate reliable data pipelines ingesting from multiple sources into ClickHouse
  • Model raw data into clean, documented tables with entity resolution across systems
  • Build canonical metric definitions and source-of-truth views for company-wide use
  • Implement data quality checks, freshness monitoring, and alerting for production reliability
  • Conduct ad-hoc analyses and deep dives to support strategy and operations decisions
  • Collaborate with engineering on data architecture and schema design for warehouse usability

What they're looking for

  • SQL and Python
  • ETL tooling (Airbyte, Fivetran, Dagster, dbt, or custom)
  • ClickHouse or similar OLAP/columnar warehouse
  • Data modeling and schema design
  • Data pipeline orchestration
  • Entity resolution and multi-source data integration
  • Data quality and testing frameworks
  • Analytics and metric definition
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Broccoli AI

Broccoli AI builds AI-powered operating systems that automate front-office operations for home service contractors, handling workflows like job booking, customer follow-ups, and dispatch. The company is hiring Software Engineers to develop core product features and growth infrastructure that drive customer acquisition and retention.

View all jobs at Broccoli AI

Likely interview questions

  • Walk us through a time you built a production data pipeline from scratch—what sources did you integrate, and how did you ensure data quality?
  • How would you approach entity resolution if customer data arrives fragmented across billing, support, and call systems?
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