Software Engineer, Data Engineering
Summary
Builds and maintains production data pipelines for robotics telemetry, sensor data, and operational signals, integrating with cloud infrastructure (AWS) and enabling cross-team access for ML, analytics, and deployment teams.
About 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.
Skills
As published by lever · 16 questions · 4 written answers
Basics
Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, Twitter URL, GitHub URL, Portfolio URL, Field AI
Short answers (8)
- First Name
- Middle Name optional
- Last Name
- Address Line 1
- Address Line 2 optional
- City
- State
- Zip Code
Pick from a list (4)
- Are you legally authorized to work in the country where this position is located?
- Will you now or in the future require employer sponsorship for a work visa or employment authorization to work in the country where this position is located?
- Are you at least 18 years of age and legally eligible to perform the duties of this position?
- I certify that the information provided in this application is true, complete, and accurate to the best of my knowledge. I understand that providing false or misleading information may result in the rejection of my application or termination of employment if discovered after hire. optional
Written answers (4)
- What is your current location (city, country)? optional
- If you are not currently based in one of our office locations, would you be open to relocating to one prior to your start date? optional
- What is your earliest possible start date? optional
- What are your compensation expectations or range? optional
