Data Platform Engineer, Autonomy Analytics
Irvine, CA
- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s listing: onsite
From the employer’s posting- Employment
Full-time — employment source
Employment type Full time
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingDesign and build the data platform, frameworks, and developer tooling for ingestion
Handle intermittent connectivity, large sensor payloads, edge-to-cloud sync, and offline backfill
Build reusable ingestion SDKs, APIs, and services for onboarding new robotics data sources
Integrate the platform with BI, ML training, labeling, and issue tracking systems
Own integration reliability: schema contracts, versioning, retries, backfills, and monitoring
From the employer’s posting
Design and build the data platform, frameworks, and developer tooling that power ingestion across Field AI.
Handle the realities of field data: intermittent connectivity, large sensor payloads (LiDAR, camera, IMU), edge-to-cloud synchronization, and backfill from offline deployments.
Develop reusable ingestion SDKs, APIs, and services that enable teams to onboard new robotics data sources with minimal custom code.
Integrate the platform with downstream consumers: BI tools, ML training and evaluation pipelines, labeling systems, and issue tracking.
Own integration reliability end to end: schema contracts, versioning, retries, backfills, and monitoring.
Education & alternatives
What You Have - Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. - 3–5+ years of experience in data engineering or backend engineering focused on pipelines and infrastructure.
Tools in this posting
- C++
- Java
- Python
- Scala
- SQL
- Airbyte
- BigQuery
- Databricks
- Fivetran
- Kafka
- Redshift
- Snowflake
- Airflow
- Dagster
Source — Tool mentions in context
- 3–5+ years of experience in data engineering or backend engineering focused on pipelines and infrastructure. - Strong programming skills in Python and SQL (C++, Scala, or Java a plus). - Production experience with streaming systems (Kafka, Kinesis, Pub/Sub) and orchestration tools such as Airflow or Dagster.
- Experience with a modern warehouse or lakehouse (BigQuery, Snowflake, Databricks, Redshift) and cloud object storage at scale. - Experience building integrations across systems: third-party APIs, internal services, and CDC/ELT tooling (Fivetran, Airbyte, Debezium, or custom connectors). - Experience building for data quality: testing, monitoring, lineage, and incident response.
- Production experience with streaming systems (Kafka, Kinesis, Pub/Sub) and orchestration tools such as Airflow or Dagster. - Experience with a modern warehouse or lakehouse (BigQuery, Snowflake, Databricks, Redshift) and cloud object storage at scale. - Experience building integrations across systems: third-party APIs, internal services, and CDC/ELT tooling (Fivetran, Airbyte, Debezium, or custom connectors).
- Strong programming skills in Python and SQL (C++, Scala, or Java a plus). - Production experience with streaming systems (Kafka, Kinesis, Pub/Sub) and orchestration tools such as Airflow or Dagster. - Experience with a modern warehouse or lakehouse (BigQuery, Snowflake, Databricks, Redshift) and cloud object storage at scale.
Posting record
Report an errorOpen 3 monthsWe first saw this listing 105 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
- Jul 11, 2026 · 105 days ago
- Recorded sightings
- 79
- Last seen by us
- Oct 24, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
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Job description
What You'll Get To Do
- Design and build the data platform, frameworks, and developer tooling that power ingestion across Field AI.
- Handle the realities of field data: intermittent connectivity, large sensor payloads (LiDAR, camera, IMU), edge-to-cloud synchronization, and backfill from offline deployments.
- Develop reusable ingestion SDKs, APIs, and services that enable teams to onboard new robotics data sources with minimal custom code.
- Build and maintain integrations across heterogeneous sources: robot/edge systems, fleet management and deployment tooling, simulation outputs, and cloud object storage.
- Integrate the platform with downstream consumers: BI tools, ML training and evaluation pipelines, labeling systems, and issue tracking.
- Develop connectors and APIs (REST/gRPC, webhooks, CDC) so internal teams can feed data in and consume curated datasets reliably.
- Own integration reliability end to end: schema contracts, versioning, retries, backfills, and monitoring.
- Optimize pipeline performance, scalability, and cost across growing fleet deployments.
What You Have
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
- 3–5+ years of experience in data engineering or backend engineering focused on pipelines and infrastructure.
- Strong programming skills in Python and SQL (C++, Scala, or Java a plus).
- Production experience with streaming systems (Kafka, Kinesis, Pub/Sub) and orchestration tools such as Airflow or Dagster.
- Experience with a modern warehouse or lakehouse (BigQuery, Snowflake, Databricks, Redshift) and cloud object storage at scale.
- Experience building integrations across systems: third-party APIs, internal services, and CDC/ELT tooling (Fivetran, Airbyte, Debezium, or custom connectors).
- Experience building for data quality: testing, monitoring, lineage, and incident response.
- Strong problem-solving skills and ability to work in interdisciplinary teams.
The Extras That Set You Apart
- Experience with robotics, autonomy, automotive, or other telemetry-heavy operational data (bag files, fleet logs, time-series sensor data).
- Familiarity with robotics middleware and log formats such as ROS/ROS2, MCAP, or rosbag.
Employment type
Full time
Source details
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- Pay
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- Location & working pattern
Irvine, CA
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- Work authorization
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