Data Engineer
Core
Architecting the data platform to enable ML and robotics teams to move faster, experiment effectively, and deploy AI solutions into production.
Role type
Senior Data Engineer
Builds
Clean, reliable, and scalable data products (tables, pipelines) fueling experimentation, production models, and AI development.
Domain
Robotics / Embodied AI / Data Infrastructure
Deliverable
production ML models
Required skills
SQL, Python, Data Modeling, Warehousing, Pipeline Orchestration, Data Governance, Data Quality Monitoring, AWS, Snowflake, Dagster, dbt
Responsibilities
Partner with software, ML, and robotics teams to understand data needs and build well-modeled tables; Develop and extend data models and pipelines for experimentation and model training; Model large-scale, multi-modal data (sensor streams, telemetry, logs); Monitor pipeline health and troubleshoot failures; Strengthen standards for governance, lineage, and documentation; Write clean, tested, well-documented Python and SQL code.
