Pay
In line with similar jobs
$160K–$200K 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.
Senior Data Platform Engineer
Irvine, CA
Live, first seen by us 36 days ago- Pay
USD 160,000–200,000/year — pay source
Salary 160,000 – 200,000 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 postingWe are building the data foundation that powers the full machine learning lifecycle for autonomous robotics.
Design scalable architecture for large multimodal robotics and ML datasets
Build pipelines that turn raw robot data into versioned, ML-ready data products
Build automated validation and data-quality checks that catch bad data early
Track provenance and lineage across raw data, labels, datasets and ML workloads
Design for incremental processing, reprocessing, backfills and versioned transforms
From the employer’s posting
We are building the data foundation that powers the full machine learning lifecycle for autonomous robotics. Our robots generate large-scale, multimodal datasets across real-world deployments, and turning that raw experience into reliable, discoverable, high-quality ML data is a core part of improving our autonomy systems.As a Data Platform Engineer, you will help design and build the platform that manages data from ingestion through processing, validation, labeling, dataset generation, training, and evaluation.This is not a traditional analytics data engineering role. You will work closely with ML engineers, researchers, labeling teams, robotics engineers, and infrastructure engineers to build scalable systems for robotics and ML data.
Design and build scalable data architecture for large-scale multimodal robotics and ML datasets.
Develop reliable pipelines for transforming raw robot data into versioned, ML-ready data products.
Develop automated validation and data-quality frameworks that detect incomplete, corrupted, or unusable data early.
Build systems for tracking provenance and lineage across raw data, derived artifacts, labels, datasets, and downstream ML workloads.
Design for incremental processing, reprocessing, backfills, and versioned transformations.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 6, 202636 days ago
- Recorded sightings
- 44
- Last seen by us
- Nov 12, 2026
- Employer says posted
- Sep 13, 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 36
Similar jobs usually come down between day 6 and day 55.
At Field-Ai, jobs usually 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.
- C++
- Java
- Python
- Kubernetes
- S3
- Spark
- Airflow
- Dagster
- Go
Where the posting names them
- Strong experience building production data platforms or large-scale data-processing systems. - Strong software engineering skills, preferably Python and/or C++/Java/Go. - Experience with distributed data processing and workflow orchestration.
- Strong understanding of data quality, lineage, reproducibility, and reliable pipeline design. - Experience with technologies such as S3, Airflow/Dagster, Spark/Ray, Kubernetes, Parquet, or similar systems. - Ability to work across ambiguous organizational and technical boundaries.
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 Role
We are building the data foundation that powers the full machine learning lifecycle for autonomous robotics. Our robots generate large-scale, multimodal datasets across real-world deployments, and turning that raw experience into reliable, discoverable, high-quality ML data is a core part of improving our autonomy systems.As a Data Platform Engineer, you will help design and build the platform that manages data from ingestion through processing, validation, labeling, dataset generation, training, and evaluation.This is not a traditional analytics data engineering role. You will work closely with ML engineers, researchers, labeling teams, robotics engineers, and infrastructure engineers to build scalable systems for robotics and ML data.
What You'll Do
-
Design and build scalable data architecture for large-scale multimodal robotics and ML datasets.
-
Build abstractions and services for ingestion, processing, datasets, metadata, lineage, and data quality.
-
Develop reliable pipelines for transforming raw robot data into versioned, ML-ready data products.
-
Define data models, schemas, contracts, and lifecycle states across data-processing workflows.
-
Build systems for tracking provenance and lineage across raw data, derived artifacts, labels, datasets, and downstream ML workloads.
-
Develop automated validation and data-quality frameworks that detect incomplete, corrupted, or unusable data early.
-
Design for incremental processing, reprocessing, backfills, and versioned transformations.
-
Improve observability and failure diagnosis across complex data workflows.
-
Partner with ML and robotics teams to understand domain-specific data requirements and turn recurring patterns into reusable platform capabilities.
-
Work closely with infrastructure/platform teams on storage, compute, orchestration, reliability, and scalability.
What We're Looking For
-
Strong experience building production data platforms or large-scale data-processing systems.
-
Strong software engineering skills, preferably Python and/or C++/Java/Go.
-
Experience with distributed data processing and workflow orchestration.
-
Experience with data lakes/lakehouses, object storage, metadata systems, schemas, and data versioning.
-
Strong understanding of data quality, lineage, reproducibility, and reliable pipeline design.
-
Experience with technologies such as S3, Airflow/Dagster, Spark/Ray, Kubernetes, Parquet, or similar systems.
-
Ability to work across ambiguous organizational and technical boundaries.
-
Strong systems-design and engineering judgment.
Nice to Have
-
Experience with ML datasets or ML infrastructure.
-
Robotics, autonomous vehicles, sensor, video, image, LiDAR, or other multimodal data.
-
Experience building internal developer/platform products.
-
Experience operating pipelines at TB/PB scale.
Salary
160,000 – 200,000 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 160,000 – 200,000 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.