Data Engineer

Skills

About the Role

You will architect and improve data infrastructure that supports experimentation, production models, and AI development. You will work with software, machine learning, robotics, and analytics stakeholders to create reliable, well-modeled data products. You will also improve platform performance, usability, governance, testing, documentation, and observability.

Requirements

• 2+ years of data engineering or closely related experience building and supporting production data pipelines.
• Proficiency in SQL and Python.
• Experience with AWS, Snowflake, Dagster, dbt, or an equivalent modern data stack.
• Knowledge of data modeling, warehousing concepts, and pipeline orchestration.
• Ability to work directly with stakeholders to deliver decision-driving data.
• Ability to comply with applicable U.S. export control regulations where required.

Responsibilities

• Partner with software, machine learning, robotics, and analytics teams to translate data needs into modeled tables and data products.
• Develop and extend data models and pipelines for experimentation, model training, validation, reporting, and business decisions.
• Model large-scale multimodal data, including sensor streams, telemetry, logs, and unstructured blob data.
• Monitor pipeline health and data quality, troubleshoot failures, and improve tests and alerting.
• Strengthen standards for governance, lineage, documentation, and data contracts.
• Write clean, tested, documented Python and SQL and participate in code reviews.
• Improve data platform usability, performance, and tooling.

Benefits

• Daily free lunch
• Flexible PTO
• Medical, dental, and vision coverage
• 6 weeks of fully paid parental leave, plus an additional 6–8 weeks for birthing parents
• 401(k) retirement plan through Empower
• Employee referral bonuses