Data Engineer II - Street Data

Overview

Responsibilities

• Design, implement, and maintain scalable ETL pipelines for ingesting, transforming, and loading street data from various sources
• Automate, maintain, and optimize data processing workflows to ensure timely and accurate updates to transportation network datasets
• Collaborate with data providers, customers, and software engineers to understand data requirements and deliver high-quality solutions
• Develop and maintain processes to analyze routing requests for data-related errors and collaborate with data providers to ensure issues are corrected in future data updates
• Document data models, workflows, and best practices

Requirements

• 2+ years of experience building and maintaining ETL pipelines
• Proficiency in Python, SQL, and data-processing frameworks or orchestration tools (such as Apache Airflow, Dagster)
• Strong understanding of relational databases (such as PostgreSQL, SQL Server)