Data Platform Engineer, Autonomy Analytics

FieldAI is hiring a Data Platform Engineer to build the data platform, ingestion frameworks, and developer tooling that support robotics data across the company. The role develops integrations and reliable pipelines for field data and downstream BI, machine learning, labeling, and issue-tracking systems.

Responsibilities

• 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

Preferred

• 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
• Robotics experience
• Autonomy experience
• Automotive experience
• Telemetry-heavy operational data
• Bag files
• Fleet logs
• Time-series sensor data
• ROS/ROS2
• MCAP
• Rosbag

Company

• General-purpose robotics AI for unstructured physical environments
• Irvine, California, USA
• https://www.fieldai.com/
• Founded in 2023
• 201-500 employees

Qualifications

• 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
• 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
• 3–5+ years of experience in data engineering or backend engineering focused on pipelines and infrastructure.

Required skills

• Airflow, BigQuery, Dagster, Databricks, Fivetran, Kafka, Kinesis, Pub/Sub, Python, Redshift, SQL, Snowflake

Preferred skills

• $405M, (37), (9), *2026, 2025, 2025-08-20, 2026-02-22, 2026-07-31, Ali Agha, Bezos Expeditions,Prysm Capital,Temasek, Corporate Round, Data Powered by, Distribution of Different Job Fields Receiving Sponsorship, Engineering and Development, Founder and CEO, Growth Stage, H1B Sponsorship, Hyundai Motor Group, Irvine, California, USA, Key Investors, Leadership Team, Non Equity Assistance, Orange County Business Journal, Recent News, Represents job field similar to this job, Series Unknown· $91M, The Walt Disney Company, Total Funding, Trends of Total Sponsorships, https://www.fieldai.com

Experience

• 3+ years