Pay
In line with similar jobs
$160K–$210K against $127K–$190K, the middle half of what similar US postings state.
From 2,229 postings in the last year. Stated ranges, not salaries paid.
Lead Data Engineer, Analytics & Insights
South San Francisco, CA
Open 5 months, first seen by us 153 days ago- Pay
USD 160,000–210,000/year · Base — pay source
Experience with ML-backed analytics — forecasting, anomaly detection, fleet health scoring, release regression detection. 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.
Salary 160,000 – 210,000 USD per year Benefits
Read the full posting- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type Full Time
Employment type in the employer’s posting: Full Time
From the employer’s posting
What you’ll work on
Full postingOur 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.
Design and operate the ClickHouse-backed analytics warehouse with the Platform team
Define trustworthy metrics such as autonomy uptime, intervention rates, and fleet utilization
Build React dashboards for customer analytics portals
Build Grafana boards, custom dashboards, and self-serve tooling for internal teams
Establish data quality, validation, lineage, and documentation for every metric
From the employer’s posting
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.
Design and operate the ClickHouse-backed warehouse that powers operational, business, and autonomy reliability metrics
Define the metrics that matter. Partner with operations, product, engineering, and finance to turn fuzzy questions into trustworthy metrics
Build React dashboards inside our web and mobile customer analytics portals
Build the Grafana boards, custom React dashboards, and self-serve tooling that let teams answer their own questions
Establish the data quality, validation, lineage, and documentation that make every number defensible
Benefits in the posting
Full benefits wording- 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
- Employment type
- Full Time
From the employer’s posting.
About Agtonomy
Agtonomy brings intelligent automation to agriculture, turf, and other demanding industries through Physical AI and software services.
In the employer’s words · Read in context
Posting record
Report an errorOpen 5 monthsWe first saw this posting 153 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 10, 2026153 days ago
- Recorded sightings
- 45
- Last seen by us
- Nov 11, 2026
- Employer says posted
- May 26, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 153
Up longer than most. Similar jobs usually come down between day 6 and day 55.
From 13,026 similar postings that came down. Coming down is not always a hire.
Agtonomy is hiring
2 open jobs
- No new data jobs since July
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- C++
- Python
- Rust
- SQL
- TypeScript
- BigQuery
- ClickHouse
- dbt
- Grafana
- Snowflake
- React
- Go
Where the posting names them
- 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).
- 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.
- 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.
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.
- 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.
- 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.
- 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.
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Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Job description
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
-
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.
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.
Salary
160,000 – 210,000 USD per year
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)
Employment type
Full Time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Experience with ML-backed analytics — forecasting, anomaly detection, fleet health scoring, release regression detection. 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.
More source context
Salary 160,000 – 210,000 USD per year Benefits
- Location & working pattern
South San Francisco, CA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.