Lead Data Engineer, Analytics & Insights

Agtonomy invites you to join a mission-driven engineering team in South San Francisco as a Lead Data Engineer, Analytics & Insights. You will own the analytics data layer, metrics, and dashboards that turn machine telemetry into trustworthy insights for customers, partners, and internal stakeholders, while upholding rigorous data accuracy. This is a collaborative role that values clear data, practical impact, and a culture of learning. The position is onsite in South San Francisco, CA with a competitive salary in the range of USD 160,000 to 210,000 per year.

Benefits

• 100% covered medical, dental, and vision for the employee, with additional options for partners, children, or family coverage
• Commuter benefits
• Flexible Spending Account (FSA)
• Life insurance
• Short- and long-term disability
• 401(k) plan
• Stock options
• Collaborative, mission-driven environment with a passionate team

Responsibilities

• Own the analytics data layer by designing and operating a ClickHouse-backed warehouse that powers operational, business, and autonomy reliability metrics, in partnership with the Platform team responsible for ingestion
• Define the metrics that matter by collaborating with operations, product, engineering, and finance to convert ambiguous questions into trustworthy measurements such as autonomy uptime, intervention rates and classifications, release-to-release reliability, mission success, fleet utilization, and customer ROI
• Deliver customer facing data experiences by building React dashboards inside web and mobile analytics portals, working with the Applications & Connected Services team
• Enable internal decision making by creating Grafana boards, bespoke React dashboards, and self-serve tooling that empower teams to answer questions and detect issues before customers are affected
• Ensure data accuracy through established quality, validation, lineage, and documentation so every metric is defensible and traceable to its source
• Share ownership of data contracts with the Platform and Cloud software teams

Requirements

• 7+ years building production data systems with meaningful time spent on data modeling and analytics delivery
• Shipping experience in React, with hands-on work on analytics UIs or dashboards in a production web application and ownership of the surface, not just the data layer
• Deep SQL fluency and strong perspective on modeling time-series and event data; ClickHouse experience is a strong plus, with transferable experience in BigQuery, Snowflake, Druid, or Pinot
• Comfort collaborating with a platform team that owns ingestion and ensuring access to high quality, actionable data
• Strong Python skills and at least conversational proficiency in a system language such as Go, Rust, TypeScript, or C++
• Familiarity with semantic layers and related tooling (dbt, Cube, MetricFlow, etc)
• A proven track record of turning raw telemetry into metrics that non-technical stakeholders actually use and trust
• High standards for data quality and accountability for customer-facing numbers, including building systems to prevent reoccurrence of errors

Technologies

• ClickHouse, React, Grafana, BigQuery, Snowflake, Druid, Pinot
• dbt, Cube, MetricFlow
• Python, Go, Rust, TypeScript, C++
• React Native

Bonus Points

• Experience in robotics, IoT, fleet management, automotive, or domains with telemetry from diverse devices at scale
• Experience building embedded analytics within a product, delivering customer-facing dashboards beyond internal BI tools
• Experience shipping data experiences in React Native or other mobile frameworks
• Exposure to ML backed analytics such as forecasting, anomaly detection, fleet health scoring, or release regression detection