Software Engineer, Data Engineering
FieldAI
Apply to this jobAbout the Job
Field AI is looking for a Data Engineer to build reliable data pipelines and infrastructure for robotics data at scale. You will work on 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 role is ideal for someone with a strong software engineering background who enjoys building production systems, working with cloud infrastructure, and owning data pipelines end to end.
What You Will Get To Do
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Design, build, and maintain production data pipelines for robot telemetry, logs, sensor data, and operational events.
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Build reliable ingestion, transformation, and orchestration workflows using tools such as Airflow.
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Develop backend services, APIs, and internal tools that make data accessible to engineering, ML, analytics, and operations teams.
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Work with cloud infrastructure on AWS, including object storage, compute, databases, queues, and data processing services.
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Improve pipeline reliability through monitoring, retries, backfills, schema validation, and data quality checks.
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Collaborate with robotics, autonomy, infrastructure, and deployment teams to support real-world robot operations.
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Help scale data systems for growing fleets and increasingly large datasets.
What You Have
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Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
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3+ years of experience in data engineering, backend engineering, infrastructure, or platform engineering.
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Strong software engineering skills, preferably in Python.
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Experience building and operating data pipelines in production.
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Familiarity with Airflow or similar workflow orchestration tools.
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Experience with AWS services such as S3, Lambda, ECS, EC2, RDS, Redshift, Glue, Athena, SQS, or related systems.
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Good understanding of testing, monitoring, debugging, and incident response for production systems.
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Ability to work across teams and translate messy real-world data problems into reliable systems.
What Will Set You Apart
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Experience with AWS CDK, Terraform, CloudFormation, or other infrastructure-as-code tools.
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Experience with Kubernetes, including deploying, operating, or debugging workloads in production clusters.
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Experience with robotics, autonomy, IoT, fleet telemetry, time-series data, or sensor-heavy systems.
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Experience with data lake or warehouse systems such as Redshift, Snowflake, BigQuery, Databricks, or Athena.
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Familiarity with CI/CD and modern DevOps practices.
Compensation (from employer):
115000–170000 USD per year
Summary
Build data pipelines, cloud systems, APIs for robotics data in production environment
Job title
Software Engineer, Data Engineering
Experience level
3+ years
Minimum experience
3+ years exp
Industry
robotics
Location requirements
Irvine, CA; remote not specified; based in Irvine
Salary
$115k–$170k
Management role
No
Required skills
Preferred skills
Specializations
Structured locations inferred from the posting.
Irvine, CA, USA