• 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. • Occasionally contribute to shared libraries or APIs in Python, Java, or C++ to support data capture and consumption.