Lead Data Engineer, Analytics & Insights
South San Francisco, CA Hybrid
$160,000–$210,000 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
Our fleet produces a continuous stream of data, and we're looking for a senior IC to own how that data becomes insight: for customers, partners, operations, engineering, and leadership. You'll be the bridge between the raw telemetry coming off our machines and the metrics, dashboards, and answers the rest of the company relies on. This is a hands-on role. You'll design the schemas, model the metrics, and ship the React dashboards yourself. You'll also own accountability for the numbers: every metric that leaves your hands needs to be accurate, trustworthy, and defensible when a customer or executive asks how it was calculated. That standard is the most important thing this role brings to Agtonomy.
What you'll bring
- 7+ years building production data systems, with meaningful time on both data modeling and analytics delivery.
- Shipping experience in React.
- You've built analytics UIs or dashboards in a production web app and are comfortable owning the surface, not just the SQL behind it.
- Deep SQL fluency and strong opinions about modeling time-series and event data.
- comparable OLAP systems (BigQuery, Snowflake, Druid, Pinot) translate.
- Comfort working alongside a platform team that owns ingestion.
- Strong Python and at least conversational comfort in one system language (Go, Rust, TypeScript, C++).
- Familiarity with semantic layers (dbt, Cube, MetricFlow, etc).
- A track record of turning raw telemetry into metrics non-technical stakeholders actually use and trust.
- You’ve turned loose high-level ideas into actionable and reliable analytics.
- High standards for data quality.
- You've been the person on the hook when a customer-facing number was wrong, and you've built the systems that keep it from happening again.