Data Platform Engineer for AI & Robotics

Path Robotics; Columbus (OH); Presencial; USD 110.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Daily free lunch

Flexible PTO

Medical, dental, vision

Parental leave

401(k) plan

Referral bonuses

Descripción de la vacante

Path Robotics is seeking a Data Platform Engineer to accelerate ML and robotics work by delivering clean, scalable data products. You will join the Data Engineering team, collaborating with software, ML, and analytics colleagues to turn data needs into well‑modeled tables and robust pipelines.

You will design data models for experimentation and production, handle sensor and telemetry data, monitor quality, enforce governance, and contribute to code reviews with Python and SQL.

Formación

• 2+ years building production data pipelines.
• Strong SQL and Python proficiency.
• Experience with modern data stack (AWS, Snowflake, Dagster, dbt).
• Interest in analytics-facing partnerships and delivering data that drives decisions.

Responsabilidades

• Partner with software, ML, analytics teams to understand data needs and turn them into well‑modeled tables and data products.
• Develop and extend data models and pipelines supporting experimentation, model training, validation, reporting, and decisions.
• Model large-scale, multi-modal data such as sensor streams and telemetry; identify opportunities to support our mission.
• Monitor pipeline health and data quality; troubleshoot failures and improve tests and alerts.
• Apply and strengthen governance, lineage, documentation, and data contracts.
• Write clean, tested Python and SQL and participate in code reviews.
• Improve the data platform's usability, performance, and tooling, and evangelize enhancements.

Conocimientos

SQL

Python

Data pipelines

Data modeling

Data governance

Communication

Herramientas

AWS

Snowflake

Dagster

dbt

Descripción del empleo

Path Robotics is seeking a Data Platform Engineer to accelerate ML and robotics work by delivering clean, scalable data products. You will join the Data Engineering team, collaborating with software, ML, and analytics colleagues to turn data needs into well‑modeled tables and robust pipelines.

You will design data models for experimentation and production, handle sensor and telemetry data, monitor quality, enforce governance, and contribute to code reviews with Python and SQL.