Urban SDK
Data Engineer
Remote (United States) · Remote · Full-time · Posted Jan 7, 2026
- Experience
- 3+ years as a data engineer or in a similar role.
- Education
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
About the job
Designs and maintains data pipelines and platforms for geospatial traffic analytics, supporting reliable data access and production machine-learning workflows.
What you'll do
- Build and maintain Databricks and cloud-based data pipelines and ETL/ELT workflows for geospatial and temporal datasets.
- Implement data validation, testing, monitoring, and processing optimizations to ensure reliable, efficient data handling.
- Collaborate with data scientists and cross-functional teams to productionize machine-learning models and deliver data needs.
What they ask for
- Strong proficiency in Python and data-engineering libraries such as pandas and PySpark.
- Hands-on experience with Databricks and Spark for large-scale data processing.
- Experience with AWS services, especially S3, and cloud-based data architectures.
- Understanding of pipeline testing, version control, and CI/CD, plus experience with SQL and NoSQL databases.
Nice to have
- Familiarity with geospatial formats and processing, such as GeoJSON, Shapefiles, or PostGIS.
- Experience with workflow orchestration, containerization, or production machine-learning pipelines.
Tools
Python, pandas, PySpark, Databricks, Spark, AWS, S3, SQL
AI focus
Collaborates with data scientists to productionize machine-learning models and support machine-learning pipelines in production; the company describes its products as using geospatial AI.
Model-written summary · the original posting is authoritative