Engineer Jobs in South San Francisco, CA

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1mo ago

Lead Data Engineer, Analytics & Insights

Agtonomy South San Francisco, CA

South San Francisco, CA

1mo ago Closed

$160k - $210k/yr Full time Analytics Bigquery Business Intelligence

This position is no longer accepting applications (closed Jul 11, 2026).

Job Description

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

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