Data Engineer

FieldAI

On-sitePosted August 1, 2026

About the role

FieldAI is seeking a Data Engineer to design and operate production data pipelines and infrastructure for robotics data at scale. You will build 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 on-site role in Irvine, California requires a strong software engineering background, comfort with cloud infrastructure, and ownership of data pipelines end to end.

Data Engineer

FieldAI

On-sitePosted August 1, 2026

About the role

FieldAI is seeking a Data Engineer to design and operate production data pipelines and infrastructure for robotics data at scale. You will build 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 on-site role in Irvine, California requires a strong software engineering background, comfort with cloud infrastructure, and ownership of data pipelines end to end.

What You Will 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 to make data accessible to engineering, ML, analytics, and operations teams. - Work with AWS infrastructure (S3, Lambda, ECS, EC2, RDS, Redshift, Glue, Athena, SQS, etc.). - Improve pipeline reliability through monitoring, retries, backfills, schema validation, and data quality checks. - Collaborate with robotics, autonomy, infrastructure, and deployment teams to support real-world robot operations. - Help scale data systems for growing fleets and larger datasets.

What You Have: - Bachelor's or Master's degree in Computer Science, Engineering, or related technical field. - 3+ years in data engineering, backend engineering, infrastructure, or platform engineering. - Strong software engineering skills, preferably Python. - Experience building and operating data pipelines in production. - Familiarity with Airflow or

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What You Will 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 to make data accessible to engineering, ML, analytics, and operations teams. - Work with AWS infrastructure (S3, Lambda, ECS, EC2, RDS, Redshift, Glue, Athena, SQS, etc.). - Improve pipeline reliability through monitoring, retries, backfills, schema validation, and data quality checks. - Collaborate with robotics, autonomy, infrastructure, and deployment teams to support real-world robot operations. - Help scale data systems for growing fleets and larger datasets.