Lead Data Engineer Analytics and Insights

Agtonomy is a South San Francisco, California company that provides AI-driven automation and fleet services for agricultural, turf, and other off-road equipment.

South San Francisco, United States
About Agtonomy

Founded in 2021, Agtonomy embeds physical-AI and autonomy technology into equipment from OEM partners, enabling operators to plan, monitor, and analyze tasks such as mowing, hauling, and other field work.

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Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will own the analytics data layer and operate a ClickHouse-backed warehouse for operational, business, and autonomy-reliability metrics. You will define metrics with operational, product, engineering, and finance stakeholders; build React and Grafana dashboards and self-service tools; and establish data quality, validation, lineage, documentation, and data contracts.

Requirements

  • 7+ years building production data systems
  • Experience with data modeling and analytics delivery
  • Experience shipping React analytics interfaces or dashboards
  • Deep SQL fluency
  • Experience modeling time-series and event data
  • Strong Python skills
  • Working knowledge of a systems language such as Go, Rust, TypeScript, or C++
  • Experience collaborating with data-ingestion teams
  • Familiarity with semantic layers
  • Experience turning raw telemetry into reliable analytics
  • Experience ensuring data quality

Responsibilities

  • Design and operate the ClickHouse-backed analytics warehouse
  • Define trustworthy operational, business, and autonomy-reliability metrics
  • Build customer-facing React dashboards
  • Build Grafana boards, React dashboards, and self-service tools for internal users
  • Establish data quality, validation, lineage, and documentation
  • Share ownership of data contracts with platform and cloud software functions

Benefits

  • 100% covered medical, dental, and vision insurance for the employee
  • Commuter benefits
  • Flexible Spending Account
  • Life insurance
  • Short-term and long-term disability insurance
  • 401k plan
  • Stock options

Hiring Process

Phone screen with the hiring manager; technical domain evaluation; software engineering evaluation; panel video interview with key stakeholders.