Data Platform Engineer – Data Operations (all genders)
Core
Build the software backbone and automated workflows for STARK's data platform, transforming raw multi-sensor field recordings into ready-to-use datasets for AI perception and autonomy systems.
Role type
Senior Data Platform Engineer (Data Operations)
Builds
Internal data platform, ETL pipelines, metadata systems, and self-service data access tools for AI engineering teams.
Domain
Defense technology, autonomous systems, robotics data
Deliverable
production ML models
Required skills
Python, ETL pipeline design, SQL, GCP, Docker, Unix/Linux, API development, data curation workflows
Preferred skills
GenAI/Synthetic data, data versioning (DVC, LakeFS), computer vision formats (COCO), advanced GCP services, robotics data formats (ROS bags, MCAP)
Technologies
Python, GCP, PostgreSQL, Docker, ROS bags, MCAP
Responsibilities
Design and maintain ETL pipelines for ingesting complex field recordings; build tools to sub-sample video and package datasets; implement metadata databases and data catalogs; coordinate end-to-end data labeling workflows with external vendors; develop backend APIs and self-service dashboards; enforce software engineering hygiene and CI/CD pipelines.
Seniority
Senior, hands-on IC
