We are seeking a talented Data Engineer to join our team and play a key role in building world-wide street networks.
Key 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)
Experience with containerization (such as Docker) and CI/CD pipelines
Familiarity with version control systems (such as Git)
Excellent problem-solving and communication skills
Bachelor’s degree in Computer Science, Data Engineering, GIS, or related field
Experience with geospatial data formats
Experience with cloud data platforms (such as AWS, Azure) and cloud-based ETL tools
Exposure to big data technologies (such as Spark, Hadoop)
Knowledge of transportation network modeling and routing algorithms
Familiarity with APIs for street data (such as OpenStreetMap, HERE, TomTom)
Understanding of data governance, quality, and security best practices
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Benefits & Perks
Esri’s competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.