Pay
In line with similar jobs
$115K–$170K against $127K–$190K, the middle half of what similar US postings state.
From 2,239 postings in the last year. Stated ranges, not salaries paid.
Software Engineer, Data Engineering
- Pay
USD 115,000–170,000/year — pay source
Salary 115,000 – 170,000 USD per year Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
Read the full posting- Work setting
On-site — work setting source
Work setup in the employer’s posting: onsite
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 postingDesign, build, and maintain production data pipelines for robot telemetry, logs, and sensor data
Build ingestion, transformation, and orchestration workflows using Airflow
Develop backend services and APIs that make data accessible to teams
Improve pipeline reliability through monitoring, retries, backfills, and data quality checks
Work with AWS cloud infrastructure for storage, compute, databases, queues, and processing
From the employer’s posting
Design, build, and maintain production data pipelines for robot telemetry, logs, sensor data, and operational events.
Build reliable ingestion, transformation, and orchestration workflows using tools such as Airflow.
Develop backend services, APIs, and internal tools that make data accessible to engineering, ML, analytics, and operations teams.
Improve pipeline reliability through monitoring, retries, backfills, schema validation, and data quality checks.
Work with cloud infrastructure on AWS, including object storage, compute, databases, queues, and data processing services.
Education & alternatives
What You Have - Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. - 3+ years of experience in data engineering, backend engineering, infrastructure, or platform engineering.
Posting record
Report an errorOpen 3 monthsWe first saw this posting 100 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
- Aug 3, 2026100 days ago
- Recorded sightings
- 87
- Last seen by us
- Nov 12, 2026
- Employer says posted
- Aug 1, 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 100
Up longer than most. Similar jobs usually come down between day 6 and day 55.
Well past Field-Ai’s usual: its jobs come down by about day 27.
From 13,175 similar postings that came down, and 5 of Field-Ai’s. Coming down is not always a hire.
Field-Ai is hiring
8 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Takes jobs down at a usual pace
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.
- Python
- AWS
- BigQuery
- Databricks
- Kubernetes
- Redshift
- S3
- Snowflake
- Terraform
- Airflow
Where the posting names them
- 3+ years of experience in data engineering, backend engineering, infrastructure, or platform engineering. - Strong software engineering skills, preferably in Python. - Experience building and operating data pipelines in production.
- Develop backend services, APIs, and internal tools that make data accessible to engineering, ML, analytics, and operations teams. - Work with cloud infrastructure on AWS, including object storage, compute, databases, queues, and data processing services. - Improve pipeline reliability through monitoring, retries, backfills, schema validation, and data quality checks.
- Familiarity with Airflow or similar workflow orchestration tools. - Experience with AWS services such as S3, Lambda, ECS, EC2, RDS, Redshift, Glue, Athena, SQS, or related systems. - Good understanding of testing, monitoring, debugging, and incident response for production systems.
The Extras That Set You Apart - Experience with AWS CDK, Terraform, CloudFormation, or other infrastructure-as-code tools. - Experience with Kubernetes, including deploying, operating, or debugging workloads in production clusters.
- Experience with robotics, autonomy, IoT, fleet telemetry, time-series data, or sensor-heavy systems. - Experience with data lake or warehouse systems such as Redshift, Snowflake, BigQuery, Databricks, or Athena. - Familiarity with CI/CD and modern DevOps practices.
- Experience with AWS CDK, Terraform, CloudFormation, or other infrastructure-as-code tools. - Experience with Kubernetes, including deploying, operating, or debugging workloads in production clusters. - Experience with robotics, autonomy, IoT, fleet telemetry, time-series data, or sensor-heavy systems.
- Design, build, and maintain production data pipelines for robot telemetry, logs, sensor data, and operational events. - Build reliable ingestion, transformation, and orchestration workflows using tools such as Airflow. - Develop backend services, APIs, and internal tools that make data accessible to engineering, ML, analytics, and operations teams.
- Experience building and operating data pipelines in production. - Familiarity with Airflow or similar workflow orchestration tools. - Experience with AWS services such as S3, Lambda, ECS, EC2, RDS, Redshift, Glue, Athena, SQS, or related systems.
Your next step
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Applying through Lever
- No account needed: one form, and Lever reads your resume into the profile recruiters search.
Already applied? Track this application
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
FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
About the Job
Field AI is looking for a Data Engineer to build reliable data pipelines and infrastructure for robotics data at scale. You will work on systems that move telemetry, logs, sensor data, and operational signals from deployed robots into the platforms used by autonomy, analytics, ML, and deployment teams. This role is ideal for someone with a strong software engineering background who enjoys building production systems, working with cloud infrastructure, and owning data pipelines end to end.
What You'll Get To Do
-
Design, build, and maintain production data pipelines for robot telemetry, logs, sensor data, and operational events.
-
Build reliable ingestion, transformation, and orchestration workflows using tools such as Airflow.
-
Develop backend services, APIs, and internal tools that make data accessible to engineering, ML, analytics, and operations teams.
-
Work with cloud infrastructure on AWS, including object storage, compute, databases, queues, and data processing services.
-
Improve pipeline reliability through monitoring, retries, backfills, schema validation, and data quality checks.
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Collaborate with robotics, autonomy, infrastructure, and deployment teams to support real-world robot operations.
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Help scale data systems for growing fleets and increasingly large datasets.
What You Have
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Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
-
3+ years of experience in data engineering, backend engineering, infrastructure, or platform engineering.
-
Strong software engineering skills, preferably in Python.
-
Experience building and operating data pipelines in production.
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Familiarity with Airflow or similar workflow orchestration tools.
-
Experience with AWS services such as S3, Lambda, ECS, EC2, RDS, Redshift, Glue, Athena, SQS, or related systems.
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Good understanding of testing, monitoring, debugging, and incident response for production systems.
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Ability to work across teams and translate messy real-world data problems into reliable systems.
The Extras That Set You Apart
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Experience with AWS CDK, Terraform, CloudFormation, or other infrastructure-as-code tools.
-
Experience with Kubernetes, including deploying, operating, or debugging workloads in production clusters.
-
Experience with robotics, autonomy, IoT, fleet telemetry, time-series data, or sensor-heavy systems.
-
Experience with data lake or warehouse systems such as Redshift, Snowflake, BigQuery, Databricks, or Athena.
-
Familiarity with CI/CD and modern DevOps practices.
Salary
115,000 – 170,000 USD per year
Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
Why Join FieldAI in Irvine?
In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models™ raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real-world use.
You will collaborate with a world-class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.
Be Part of the Next Robotics Revolution
We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.
Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field-ready autonomy looks like.
We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.
Employment type
Full time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Salary 115,000 – 170,000 USD per year Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job-related knowledge, skills, experience, and the Irvine, California market.
- Location & working pattern
Irvine, CA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.