Data Infrastructure Engineer

Job Summary

Building scalable data infrastructure, the full-time Data Infrastructure Engineer will manage pipelines for video, telemetry, and sensor data, enabling the development and evaluation of autonomous systems in a remote environment.

Key Responsibilities

• Build and maintain infrastructure for various operational data types, ensuring efficient data ingestion and storage
• Develop scalable pipelines to transform raw data into curated datasets for machine learning training and evaluation
• Establish automated checks and monitoring for data quality and reliability across critical data pipelines

Required Qualifications

• Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related technical field
• 3+ years of experience in data engineering, ML infrastructure, or related roles
• Strong programming skills in Python and SQL
• Experience designing and operating production data pipelines for large-scale datasets
• Familiarity with cloud storage, data lakes, and modern data platforms