Senior Data Engineer, ML Ops

Path Robotics

Senior Data Engineer architecting the data platform at Path Robotics. Delivering scalable data pipelines to support machine learning and AI solutions in robotics.

Posted 5/16/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

AWSETLKafkaPythonSQL

About the role

Key responsibilities & impact

Architect and build our end-to-end data platform, including ingestion, transformation, orchestration, quality monitoring, and data access layers.
Lead initiatives that break down data silos and enable seamless collaboration between business domains
Design and develop optimized database architecture and data schemas with strategic partitioning for large scale multi-modal data.
Implement scalable ETL/ELT pipelines that serve experimentation, training, validation, and real-time deployment needs across robotics and AI systems.
Collaborate with ML and robotics engineers to define and deliver the data infrastructure required for cutting-edge model development and real-world deployment.
Establish data governance, reproducibility, and lineage standards to ensure data integrity and traceability at scale.
Develop data contracts and API specifications to ensure reliable data exchange between robotics systems, ML models, and downstream applications.
Write production-grade, maintainable, and well-documented Python and SQL code for critical data workflows.
Help shape our MLOps, observability, and CI/CD practices for continuous learning systems in physical environments.

Requirements

What you’ll need

5+ years of experience in data engineering, with a strong track record of building scalable data systems and infrastructure from the ground up.
Previous experience supporting AI/ML teams with data platforms in fast-paced or startup environments.
Deep proficiency in SQL, Python, and distributed data systems.
Hands-on experience with tools like AWS, Snowflake, Dagster, dbt, or equivalent modern data stack.
Experience with streaming technologies such as Kafka, Flink, or similar platforms for real-time data processing.
Passionate about building clean, reliable data pipelines that power real-time ML and robotics workflows.
Experience with data quality, observability, and production monitoring of data systems.
Comfortable operating in ambiguity and taking ownership. You’re excited to build and own the foundation of a data-first company.
Bonus: experience working with sensor data, robotics logs, time series, or other high-volume real-world datasets.

Benefits

Comp & perks

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!

ATS Keywords

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Hard Skills & Tools

data engineeringETLELTSQLPythondatabase architecturedata schemasdata governancedata pipelinesdata quality

Soft Skills

leadershipcollaborationownershipadaptabilityproblem-solvingcommunicationinitiativeattention to detailpassion for dataoperating in ambiguity