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Senior Data Engineer

Agility Robotics

Salary not specified
Nov 19, 2025
Remote, US
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Agility Robotics is looking for a Senior Data Engineer to help shape the foundation of data-driven operations at Agility Robotics by building and maintaining the data infrastructure that powers fleet operations, hardware reliability, business analytics, and machine learning.

Requirements

  • 5+ years of experience as a Data Engineer or similar role building and maintaining production data pipelines.
  • Strong proficiency in Apache Spark or equivalent distributed data processing frameworks.
  • Experience with Airflow, Dagster, Prefect, or other data orchestration systems.
  • Proficiency with data formats such as Avro, Parquet, and structured/numeric datasets.
  • Solid understanding of data modeling, schema evolution, and data quality best practices.
  • Good intuitions of how to model datasets logically and partition them physically for optimal query performance, both for analytical query engines and for playback or root-cause-analysis(e.g. ReRun, Foxglove etc)
  • Strong programming skills in Python, Java and/or Scala.
  • Experience with AWS data stack (S3, Glue, Athena, EMR, etc.) or similar cloud infrastructure.
  • Experience working with vision data pipelines(e.g. Images, video, depth) and building derived datasets from them.
  • Experience with robotics vision data (RGB, depth, point clouds, or perception outputs) and how to process, store, and query them efficiently.
  • Familiarity with C++ and willingness to contribute to lightweight logging or data serialization libraries.
  • Exposure to large-scale robotics data, including high-frequency and high-fidelity sensor, telemetry and vision streams.
  • Experience with data catalog systems and metadata management.
  • Familiarity with data versioning or immutable dataset design (e.g., Apache Iceberg, Delta Lake).

Responsibilities

  • Collaborate with robot software and hardware teams to define, collect, and curate data needed for analytics and debugging.
  • Develop and maintain ETL pipelines that transform raw robot logs and telemetry into structured datasets using Spark, Airflow (or equivalent orchestration tools), and AWS data services.
  • Contribute to on-robot data production workflows to ensure high-fidelity, well-structured data capture.
  • Design derived datasets and transformations across Avro, Parquet, and other sensor data formats to power fleet operations, reliability analysis, and business metrics.
  • Implement data quality checks, schema evolution, and metadata management practices using our internal Data Registry and cataloging systems.
  • Work closely with the ingestion and storage services that move robot data into the cloud (S3-based data lake).
  • Collaborate with internal consumers — reliability, analytics, and ML teams — to design efficient data models for their workflows.

Other

  • Comfort working cross-functionally with software, hardware, and analytics teams in a fast-paced environment
  • This is a fully remote role with the option to work hybrid if a commutable distance from our Salem, Pittsburgh, or Bay Area offices.
  • Agility Robotics is committed to a work environment in which all individuals are treated with respect and dignity.
  • Agility Robotics prohibits any such discrimination or harassment.
  • Agility Robotics does not accept unsolicited referrals from third-party recruiting agencies.