Robotics Data Engineer — Real-World Field Pipelines

Ring Inc; Irvine (CA); On-site; USD 115,000 - 170,000; Full time

Job summary

FieldAI in Irvine is seeking a Data Engineer to build reliable data pipelines and infrastructure for robotics data at scale. You will move telemetry, logs, sensor data, and operational signals from deployed robots into platforms used by autonomy, analytics, ML, and deployment teams.

This role suits someone with a strong software engineering background who enjoys production systems, cloud infrastructure, and end-to-end data pipelines.

Qualifications

• Bachelor's or Master's degree in CS/Engineering.
• 3+ years in data engineering, backend infra, or platform engineering.
• Strong software engineering skills, preferably Python.
• Experience building and operating data pipelines in production.
• Familiarity with Airflow or similar workflow orchestration tools.
• Experience with AWS services such as S3, Lambda, ECS, EC2, RDS, Redshift, Glue, Athena, SQS.

Responsibilities

• 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 that make data accessible to engineering, ML, analytics, and operations teams.
• Work with cloud infrastructure on AWS, including object storage, compute, databases, queues, and data processing services.
• 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 increasingly large datasets.

Skills

Python

Airflow

AWS

Data pipelines

Backend engineering

Production systems

Testing/Monitoring

Education

Bachelor's/Master's in CS/Engineering

Tools

AWS S3

AWS Lambda

AWS ECS

AWS EC2

AWS RDS

AWS Redshift

AWS Glue

AWS Athena

AWS SQS

Airflow

Job description

FieldAI in Irvine is seeking a Data Engineer to build reliable data pipelines and infrastructure for robotics data at scale. You will move telemetry, logs, sensor data, and operational signals from deployed robots into platforms used by autonomy, analytics, ML, and deployment teams.

This role suits someone with a strong software engineering background who enjoys production systems, cloud infrastructure, and end-to-end data pipelines.