Data Jobs in South San Francisco, CA

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2mo ago

Lead Data Engineer, Analytics & Insights

Agtonomy South San Francisco, CA

South San Francisco, CA

2mo 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 is seeking a senior data engineering leader for an onsite role in South San Francisco, CA. The Lead Data Engineer, Analytics & Insights will own the analytics data layer, metrics, and dashboards, translating telemetry from machines into trustworthy insights for customers, partners, and internal stakeholders while upholding rigorous data accuracy.

Responsibilities

Design and operate the analytics data layer, including a ClickHouse backed warehouse that powers operational, business, and autonomy reliability metrics, in collaboration with the Platform ingestion team.
Partner with operations, product, engineering, and finance to define meaningful metrics, turning complex questions into measurable results such as autonomy uptime, intervention rates and classifications, release-to-release reliability, mission success, fleet utilization, and customer ROI.
Develop customer facing data experiences by building React dashboards within web and mobile analytics portals, in partnership with the Applications & Connected Services team.
Create internal decision support tools by building Grafana boards, custom React dashboards, and self service tooling that enable teams to answer questions and identify issues early.
Maintain data accuracy by establishing data quality, validation, lineage, and documentation so every number is defensible and explainable.
Share ownership of data contracts with the Platform and Cloud software teams.

Requirements

7+ years of experience building production data systems, with substantive work in both data modeling and analytics delivery.
Proven experience shipping analytics UIs in React; comfortable owning the user surface of dashboards in a production web app.
Strong SQL skills with well formed opinions on modeling time-series and event data; ClickHouse experience is a strong plus, with transferable experience in OLAP systems such as BigQuery, Snowflake, Druid, or Pinot.
Comfort working alongside a platform team that governs data ingestion; track record of collaborating with pipeline teams to ensure access to high quality data.
Proficiency in Python and at least one systems language (Go, Rust, TypeScript, or C++).
Familiarity with semantic layers and tooling such as dbt, Cube, or MetricFlow.
A proven history of converting raw telemetry into metrics that non-technical stakeholders actually use and trust, turning broad ideas into actionable analytics.
High standards for data quality; demonstrated accountability when customer facing numbers were incorrect and the ability to implement preventative safeguards.

Technologies

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

Compensation

Salary: USD 160,000 – 210,000 per year

Benefits

100% coverage for medical, dental, and vision for the employee; coverage for partner, children, or family is additional
Commuter Benefits
Flexible Spending Account (FSA)
Life Insurance
Short- and Long-Term Disability
401k Plan
Stock Options
Collaborative work environment with a mission-driven team

Bonus Points

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

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