Job Description
A Data Engineer responsible for designing, developing, and maintaining ETL pipelines to process and optimize street and roadway data for transportation network analysis and routing applications used globally.
Key Responsibilities
- Design, implement, and maintain scalable ETL pipelines for street data ingestion, transformation, and loading
- Automate, maintain, and optimize data processing workflows for timely and accurate transportation network updates
- Collaborate with data providers, customers, and software engineers to understand data requirements and deliver solutions
- Develop and maintain processes to analyze routing requests for data errors and coordinate data corrections
- Document data models, workflows, and best practices
Requirements
- Minimum of 2 years of experience building and maintaining ETL pipelines
- Proficiency in Python, SQL, and data-processing frameworks or orchestration tools such as Apache Airflow or Dagster
- Strong understanding of relational databases such as PostgreSQL and SQL Server
- Experience with containerization such as Docker and CI/CD pipelines
- Familiarity with version control systems such as Git
- Excellent problem-solving skills
- Excellent communication skills
- Bachelor’s degree in Computer Science, Data Engineering, GIS, or related field
Benefits & Perks
Relocation Assistance Program
Industry-leading health and welfare benefits including medical, dental, and vision insurance
Basic and supplemental life insurance for employees and their families
401(k) and profit-sharing programs
Minimum of 80 hours of vacation leave
Twelve paid holidays throughout the year
Opportunities for personal and professional growth
Ready to Apply?
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