Build the Path Forward
At Path Robotics, we’re 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.
What You’ll Do- 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 team's 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 platform's 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 You’ll 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 6–8 weeks for birthing parents (12–14 weeks total)
- 401(k) retirement plan through Empower
- Generous employee referral bonuses—help 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.
Skills Required
- 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 AWS, Snowflake, Dagster, dbt, or an equivalent modern data stack
- Understanding of data modeling, data warehousing concepts, and pipeline orchestration
- Experience working with sensor data, robotics logs, manipulation data, or other high-volume real-world datasets
- Ability to comply with applicable U.S. export control regulations, including ITAR and/or EAR requirements where applicable
- Successful completion of a background check
Path Robotics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Path Robotics and has not been reviewed or approved by Path Robotics.
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Fair & Transparent Compensation — Pay is considered competitive overall, with engineering and sales roles positioned strongly against the market. Compensation in these tracks is frequently characterized as above average relative to peers.
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Healthcare Strength — Core medical, dental, and vision coverage is described as comprehensive and well regarded. Employer-verified listings indicate robust plan options alongside FSA/HSA support.
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Leave & Time Off Breadth — Unlimited PTO, paid holidays, and paid parental leave are highlighted across public benefits summaries. Time-off policies are framed as flexible and generous for a company at this stage.
Path Robotics Insights
What We Do
Path Robotics is an Artificial Intelligence and Robotics company focusing on the manufacturing industry.
Why Work With Us
Distinguishing ourselves from other tech startups, we work with a physical product — the robots. This keeps us rooted in our Columbus, Ohio office and fosters a culture of in person collaboration and ideation.
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