ML Ops Data Engineer for Production AI Pipelines

Path Robotics; Columbus (OH); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Daily free lunch

Flexible PTO

Medical, dental, and vision coverage

Parental leave (6 weeks +)

401(k) retirement plan

Referral bonuses

Job summary

Path Robotics in Columbus, OH is seeking a Data Engineer to help architect and scale our data platform for ML and robotics teams. You will build data models, pipelines, and data products that enable experimentation and production models.

Collaborate across software, ML, and analytics, monitor data quality, implement governance, and write clean Python and SQL. Bonus for sensor data and real-world datasets.

Qualifications

• 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.
• Curious about the problems your data solves and able 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.

Responsibilities

• 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.

Skills

SQL

Python

Data modeling

Warehousing concepts

Pipeline orchestration

Stakeholder communication

Tools

AWS

Snowflake

Dagster

dbt

Job description

Path Robotics in Columbus, OH is seeking a Data Engineer to help architect and scale our data platform for ML and robotics teams. You will build data models, pipelines, and data products that enable experimentation and production models.

Collaborate across software, ML, and analytics, monitor data quality, implement governance, and write clean Python and SQL. Bonus for sensor data and real-world datasets.