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FieldAIPosted 30+ days ago

Software Engineer, Data Engineering

Full-time
On-site
3+ years
$115K – $170K/yr
Posted 30+ days ago

FieldAI develops reliable, field-ready embodied AI systems for real-world robotics deployments. The company is seeking a Data Engineer to build and operate scalable data pipelines and infrastructure for robot telemetry, logs, sensor data, and operational signals, while supporting robotics, autonomy, analytics, ML, and deployment teams.

Posted
30+ Days Ago
Source
Ethic Leaf recruiter
Sector
Information Technology & AI

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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

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
  • 3+ years of experience in data engineering, backend engineering, infrastructure, or platform engineering
  • Strong software engineering skills, preferably in 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, or related systems
  • Good understanding of testing, monitoring, debugging, and incident response for production systems
  • Ability to work across teams and translate messy real-world data problems into reliable systems

Preferred

  • Experience with AWS CDK, Terraform, CloudFormation, or other infrastructure-as-code tools
  • Experience with Kubernetes, including deploying, operating, or debugging workloads in production clusters
  • Experience with robotics, autonomy, IoT, fleet telemetry, time-series data, or sensor-heavy systems
  • Experience with data lake or warehouse systems such as Redshift, Snowflake, BigQuery, Databricks, or Athena
  • Familiarity with CI/CD and modern DevOps practices

Required skills

PythonProduction Data PipelinesApache AirflowAmazon Web Services (AWS)Infrastructure as CodeKubernetesRobotics and Fleet TelemetryCI/CD

Nice to have

Irvine, California, USAhttps://www.fieldai.comH1B SponsorshipData Powered byEngineering and DevelopmentTrends of Total Sponsorships*2026(37)2025(9)Growth StageTotal Funding$405MKey Investors

Full job description

FieldAI develops reliable, field-ready embodied AI systems for real-world robotics deployments. The company is seeking a Data Engineer to build and operate scalable data pipelines and infrastructure for robot telemetry, logs, sensor data, and operational signals, while supporting robotics, autonomy, analytics, ML, and deployment teams.

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

Preferred

  • Experience with AWS CDK, Terraform, CloudFormation, or other infrastructure-as-code tools
  • Experience with Kubernetes, including deploying, operating, or debugging workloads in production clusters
  • Experience with robotics, autonomy, IoT, fleet telemetry, time-series data, or sensor-heavy systems
  • Experience with data lake or warehouse systems such as Redshift, Snowflake, BigQuery, Databricks, or Athena
  • Familiarity with CI/CD and modern DevOps practices
  • AWS CDK
  • Terraform
  • CloudFormation
  • Kubernetes
  • Robotics
  • IoT
  • Fleet Telemetry
  • Time-Series Data
  • Data Lake Systems
  • Snowflake
  • BigQuery
  • Databricks
  • CI/CD
  • DevOps Practices

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+ years of experience in data engineering, backend engineering, infrastructure, or platform engineering
  • Strong software engineering skills, preferably in 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, or related systems
  • Good understanding of testing, monitoring, debugging, and incident response for production systems
  • Ability to work across teams and translate messy real-world data problems into reliable systems
  • Experience with AWS CDK, Terraform, CloudFormation, or other infrastructure-as-code tools
  • Experience with Kubernetes, including deploying, operating, or debugging workloads in production clusters
  • Experience with robotics, autonomy, IoT, fleet telemetry, time-series data, or sensor-heavy systems
  • Experience with data lake or warehouse systems such as Redshift, Snowflake, BigQuery, Databricks, or Athena
  • Familiarity with CI/CD and modern DevOps practices
  • 3+ years of experience in data engineering, backend engineering, infrastructure, or platform engineering.

Required skills

  • Python, Production Data Pipelines, Apache Airflow, Amazon Web Services (AWS), Testing and Monitoring Production Systems, Infrastructure as Code, Kubernetes, Robotics and Fleet Telemetry, Data Lake and Data Warehouse Systems, CI/CD

Preferred skills

  • Familiarity with CI/CD and modern DevOps practices, Irvine, California, USA, https://www.fieldai.com, H1B Sponsorship, Data Powered by, Distribution of Different Job Fields Receiving Sponsorship, Represents job field similar to this job, Engineering and Development, Trends of Total Sponsorships, *2026, (37), 2025, (9), Growth Stage, Total Funding, $405M, Key Investors, Hyundai Motor Group, Bezos Expeditions,Prysm Capital,Temasek, 2026-02-22, Corporate Round, 2025-08-20, Series Unknown· $91M, Series A· $314M, Leadership Team, Ali Agha, Founder and CEO, Recent News, Orange County Business Journal, 2026-10-07

Experience

  • 3+ years

Job details

Employment type

Full-time

Seniority level

3+ years

Date posted

Oct 4, 2026

Work mode

On-site

Job source

Ethic Leaf recruiter

Company

FieldAI

Information Technology & AI

General-purpose robotics AI for unstructured physical environments

See all 4 jobs from FieldAI →
  • Irvine, California, USA
  • Information Technology & AI
  • 201-500 employees
  • Founded 2023
  • fieldai.com

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