Senior Data Engineer, ML Ops

🕒 May 16

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Path Robotics

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

🤖 Artificial Intelligence

🔧 Hardware

💰 $100M Series C on 2021-07

Manufacturing • Artificial Intelligence • Hardware

Path Robotics is a company that specializes in advanced robotic welding systems designed to optimize manufacturing processes with precision and efficiency. They offer Robots-as-a-Service (RaaS), eliminating the need for significant upfront capital expenditure. Their AI-driven robotic systems learn and adapt to improve welding performance over time. Path Robotics' solutions are integrated seamlessly into existing production lines, working with materials like carbon steel, stainless steel, and aluminum. They cater to various industries, including transportation, manufacturing, and construction, providing unmatched precision and adaptability to help businesses achieve their production goals.

📋 Description

• 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

• 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

• 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!