About the job
Agility Robotics is at the forefront of robotic innovation. Our flagship robot, Digit, is the first of its kind to be utilized in workplaces globally. Our team excels in the design, engineering, and deployment of robots that possess advanced mobility, dexterity, intelligence, and efficiency, specifically crafted to collaborate with humans in environments tailored for people. Daily, we tackle engineering challenges and create groundbreaking solutions that will soon make robots a familiar and integral part of our lives. This mission fuels our passion: to enhance business productivity and enrich the lives of individuals.
About The Team
At Agility Robotics, we are redefining the future of work through humanoid robots designed to thrive in human-centric environments. The Data Platform team is responsible for establishing the data infrastructure that supports fleet operations, hardware reliability, business analytics, and machine learning. We empower engineers across robotics, perception, and product teams to extract valuable insights from the extensive telemetry and log data generated by our robots operating in the field.
About The Role
We are searching for a Senior Data Engineer to join our Data Platform team and contribute to the creation of data-driven operations at Agility. In this pivotal role, you will collaborate closely with robot software and hardware teams to design, curate, and maintain high-quality datasets that facilitate analytics, debugging, and insights on a fleet scale.
You will act as the bridge between raw robot data and actionable insights, engaging in both on-robot data generation and cloud-based ingestion and processing pipelines. Your responsibilities will include designing data transformations, authoring pipelines, and fostering collaboration across teams to deliver reliable and queryable data products that support hardware reliability, system health, workflow metrics, and root cause analysis.
What You’ll Do
- Collaborate with robot software and hardware teams to define, collect, and curate essential data for analytics and debugging.
- Develop and maintain ETL pipelines that transform raw robot logs and telemetry into structured datasets using Spark, Airflow, or similar technologies.
