Lead Data Engineer, Analytics & Insights

Agtonomy

$160K — $210K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of experience in building production data systems with a focus on data modeling and analytics delivery.
  • Experience shipping analytics user interfaces or dashboards in React.
  • Fluent in SQL with a solid grasp of time-series and event data modeling; experience with ClickHouse is a plus.
  • Proficient in Python, with conversational skills in one systems programming language such as Go, Rust, TypeScript, or C++.
  • Familiarity with semantic layers like dbt, Cube, or MetricFlow.
  • Track record of converting raw telemetry data into reliable metrics for non-technical stakeholders.
  • High standards for data quality with experience in ensuring accuracy and defensibility of metrics.

Responsibilities

  • Own and design the analytics data layer, operating a ClickHouse-backed warehouse for metrics.
  • Define key metrics in collaboration with operations, product, engineering, and finance.
  • Develop and ship customer-facing data dashboards using React for web and mobile applications.
  • Create internal tools and Grafana boards to enable teams to self-serve and preemptively address issues.
  • Ensure data accuracy through quality checks, validation, and documentation.
  • Collaborate with Platform and Cloud teams on data contract ownership.

Benefits

  • 100% coverage for employee medical, dental, and vision insurance (additional costs for family coverage).
  • Commuter benefits available.
  • Flexible Spending Account (FSA) options offered.
  • Life insurance provided.
  • Short- and long-term disability insurance included.
  • 401k retirement plan offered.
  • Stock options available as part of the compensation package.
  • Opportunity to work in a collaborative environment with a mission-driven team.
Full Job Description
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

  • 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.
  • 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.
  • Ship customer-facing data experiences. Build React dashboards inside our web and mobile customer analytics portals, partnering with the Applications & Connected Services team.
  • 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.
  • 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.
  • Share ownership of data contracts with the Platform and Cloud software teams.


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. ClickHouse experience is a strong plus; comparable OLAP systems (BigQuery, Snowflake, Druid, Pinot) translate.
  • Comfort working alongside a platform team that owns ingestion. You have experience collaborating with the teams developing the pipeline to ensure access to high quality, actionable data.
  • 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.


Bonus Points

  • Experience in robotics, IoT, fleet management, automotive, or any domain where diverse physical devices produce telemetry at scale.
  • Experience building embedded analytics inside a product (customer-facing dashboards, not just internal BI tools).
  • Experience shipping data experiences in React Native or other mobile frameworks.
  • Experience with ML-backed analytics - forecasting, anomaly detection, fleet health scoring, release regression detection.


$160,000 - $210,000 a year

The US base salary range for this full-time position is $160,000 to $210,000 + equity + benefits + unlimited PTO

The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location, internal equity, and additional factors, including, but not limited to, job-related skills, experience, and relevant education or specialty training. Your recruiter can share more about the specific salary range during the hiring process.

Benefits
• 100% covered medical, dental, and vision for the employee (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 working alongside passionate mission-driven team!

Our interview process is generally conducted in five (5) phases:

1. Phone Screen with Hiring Manager (30 minutes)

2. Technical Evaluation in Domain (1 hour)

3. Software Engineering Evaluation (1 hour)

4. Panel Interview (Video interviews scheduled with key stakeholders, each interview will be 30 to 60 minutes)

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