Field AI
Data Platform Engineer, Data Pipelines
Irvine, CA · On-site · Full-time · Posted Jul 10, 2026
- Experience
- 3–5+ years in data engineering or backend engineering focused on pipelines and infrastructure.
- Education
- Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
About the job
Designs and operates reliable data pipelines and integrations that move robotics data from field deployments to analytics, ML, and operational teams.
What you'll do
- Build ingestion platforms, reusable SDKs, APIs, and integrations for robotics and other data sources.
- Handle field-data challenges including intermittent connectivity, large sensor payloads, synchronization, and offline backfills.
- Maintain end-to-end integration reliability and optimize pipeline performance, scalability, and cost.
What they ask for
- Strong programming skills in Python and SQL.
- Production experience with streaming systems and orchestration tools.
- Experience with a modern warehouse or lakehouse, cloud object storage, and integrations across systems.
- Experience with data quality practices, including testing, monitoring, lineage, and incident response.
Nice to have
- Experience with robotics, autonomy, automotive, or telemetry-heavy operational data; familiarity with ROS/ROS2, MCAP, or rosbag.
- Experience with edge computing, intermittently connected data collection, or dbt.
Tools
Python, SQL, C++, Scala, Java, Kafka, Kinesis, Pub/Sub, Airflow
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