Senior Geospatial Software Engineer
3 days ago
This role offers a unique opportunity to work with a market-leading SaaS technology platform serving the global network construction industry.
As a geospatial developer, you will design, build, and maintain internal tools and automation systems that streamline workflows for operations teams and enhance customer experiences.
The position sits at the intersection of software development and operations, ideal for a mid-level developer who thrives on solving real-world problems and creating solutions that drive operational efficiency.
You will collaborate closely with cross-functional teams to understand requirements and rapidly deliver impactful tools and solutions.
- Design and Develop Internal Tools and Scripts: Use Python to support operations workflows.
- Develop and Optimize ETL Processes: Spatial data into relational databases such as PostgreSQL/PostGIS.
- Automate Data Transformation and Processing Pipelines: Improve efficiency and maintainability.
- Collaborate with Operations and Product Teams: Identify opportunities for tool development and automation.
- Troubleshoot and Support Internal Tools and Workflows: In both production and development environments.
- Evaluate Code Quality: Version control, testing, code reviews, and comprehensive documentation.
Key qualifications include:
- Bachelor's degree in Computer Science, Computer Engineering, or a relevant engineering field.
- Minimum 3 years of professional experience in Python development.
- Hands-on experience with geospatial tools such as QGIS, PyQGIS, or GIS libraries like GDAL/OGR, Shapely, or GeoPandas.
- Demonstrated experience in scripting and automating data processing tasks.
- Proficiency in SQL and relational databases, with a preference for PostgreSQL and PostGIS.
- Strong problem-solving abilities and ability to work independently from concept through delivery.
Preferred qualifications include:
- Prior experience in an operations-facing role or in developing internal tooling.
- Familiarity with cloud environments, particularly AWS, and experience with CI/CD pipeline workflows.
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