Tech Stack

Description

You will design and maintain data pipelines that transform robot telemetry and logs into structured datasets, enabling fleet operations, reliability analysis, and business metrics. Collaborate with cross-functional teams to ensure high-quality, queryable data products.

Requirements

• 5+ years as a Data Engineer in production data pipelines
• Strong proficiency in Apache Spark or equivalent
• Experience with Airflow, Dagster, or Prefect
• Proficiency with Avro, Parquet, and data modeling best practices
• Strong programming skills in Python, Java, or Scala

Responsibilities

• Design and maintain ETL pipelines using Spark, Airflow, and AWS
• Define, collect, and curate datasets with robot software and hardware teams
• Implement data quality checks, schema evolution, and metadata management
• Design derived datasets across Avro, Parquet, and sensor data formats
• Collaborate on data models for reliability, analytics, and ML teams