Data Engineer
US$160,000 – US$210,000 / yr base salary
Posted 26 May 2026
Advertised as “Lead Data Engineer, Analytics & Insights”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 7+ yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
| Base salary | US$160,000 – US$210,000 / yr |
|---|
About Us
Agtonomy brings intelligent automation to agriculture, turf, and other demanding industries through Physical AI and software services. By partnering with trusted equipment manufacturers, we deliver factory-fit technology that transforms industrial machines into smart, efficient solutions built for safety and performance. Our team combines expertise in technology, product development, and industry knowledge to address critical challenges like labor shortages, sustainability, and productivity. We're looking for people who want to work in a collaborative, fast-moving environment where their ideas can make a real impact.
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 Do
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Own the analytics data layer. Design and operate the ClickHouse-backed warehouse that powers operational, business, and autonomy reliability metrics, partnering with the Platform team that owns ingestion.
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Define the metrics that matter. Partner with operations, product, engineering, and finance to turn fuzzy questions into trustworthy metrics: autonomy uptime, intervention rates and classifications, release-over-release reliability, mission success, fleet utilization, customer ROI.
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Ship customer-facing data experiences. Build React dashboards inside our web and mobile customer analytics portals, partnering with the Applications & Connected Services team.
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Power internal decision-making. Build the Grafana boards, custom React dashboards, and self-serve tooling that let teams answer their own questions and catch problems before customers do.
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Be accountable for accuracy. Establish the data quality, validation, lineage, and documentation that make every number defensible. When someone asks where a metric came from, you have an answer.
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Share ownership of data contracts with the Platform and Cloud software teams.
What You'll Bring
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7+ years building production data systems, with meaningful time on both data modeling and analytics delivery.