Data Engineer

Build the Path Forward

At Path Robotics were building the future of embodied intelligence. Our AI-driven systems enable robots to adapt learn and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods combining perception reasoning and control to deliver field-ready AI that is risk-aware reliable and continuously improving through real-world use.

Big hard problems are our everyday work and our team of intelligent humble and driven people make the impossible possible together.

You will play a mission-critical role in architecting our data platform enabling our machine learning and robotics teams to move faster experiment more effectively and deploy AI solutions into production.

This is an opportunity to push our data infrastructure forward and drive value across the business. Reporting to the Data Engineering Manager you will collaborate with a talented team of data engineers machine learning engineers and software engineers to deliver clean reliable and scalable data products that fuel experimentation production models and cutting-edge AI development.

• Partner with software ML robotics and analytics teams to understand their data needs and turn them into well-modeled tables and data products.
• Develop and extend data models and pipelines assets that support experimentation model training and validation reporting and business decisions.
• Model large-scale multi-modal data such as sensor streams application telemetry system logs and unstructured blob data. Identify opportunities for this data to support our mission.
• Monitor pipeline health and data quality troubleshoot failures and improve tests and alerting in order to build trust in our data assets.
• Apply and strengthen the teams standards for governance lineage documentation and data contracts.
• Write clean tested well-documented Python and SQL and take part in team code reviews.
• Improve the data platforms usability performance and tooling and evangelize enhancements among our user base.

• 2 years of experience in data engineering or a closely related role building and supporting production data pipelines.
• Strong proficiency in SQL and Python.
• Hands-on experience with tools like AWS Snowflake Dagster dbt or an equivalent modern data stack.
• Solid grasp of data modeling warehousing concepts and pipeline orchestration.
• Solid grasp of data modeling warehousing concepts and pipeline orchestration.
• Curious about the problems your data solves. You enjoy working directly with stakeholders to deliver data that drives real decisions.
• You take ownership of your work communicate clearly and want to learn from and contribute to an experienced team.
• Bonus: experience working with sensor data robotics logs manipulation data or other high-volume real-world datasets.

Why Youll Love Working Here

• Daily free lunch to keep you fueled and connected with the team
• Flexible PTO so you can take the time you need when you need it
• Comprehensive medical dental and vision coverage
• 6 weeks fully paid parental leave plus an additional 68 weeks for birthing parents (1214 weeks total)
• 401(k) retirement plan through Empower
• Generous employee referral bonuseshelp us grow our team!

Who We Are

Regulatory and Compliance Requirements
This position may support work performed under U.S. Government contracts and requires compliance with applicable federal regulations including FAR and DFARS where applicable. The role may involve access to export-controlled information subject to ITAR and/or EAR. Candidates must be able to comply with U.S. export control regulations which may include meeting the definition of a U.S. Person where required. This position may also involve handling Controlled Unclassified Information (CUI) and requires adherence to company and federal data protection and confidentiality standards. Employment may be contingent upon successful completion of a background check consistent with applicable requirements.