Spatial Data Engineer (ETL + Platform)

We are seeking a Spatial Data Engineer (ETL + Platform) to join our team and help build, enhance, and operate scalable geospatial data solutions. In this role, you will be responsible for developing and maintaining end-to-end ETL pipelines that process, transform, and integrate spatial and non-spatial datasets into production systems and downstream platforms. You will work closely with cross-functional teams to ensure high data quality, optimize performance, and automate workflows while contributing to the reliability and scalability of geospatial data operations.

Responsibilities

• Design, develop, maintain, and optimize end-to-end ETL pipelines for spatial and non-spatial data processing.

• Adapt and enhance existing data pipelines to support new data sources and evolving business requirements.

• Develop validation frameworks and quality assurance processes to ensure high data accuracy and consistency.

• Monitor, troubleshoot, and resolve pipeline and data processing issues to improve operational reliability.

• Optimize pipeline performance, scalability, and efficiency for large-scale data processing environments.

• Automate repetitive data processing and operational workflows to improve productivity and reduce manual effort.

• Work with spatial databases and platforms to manage, transform, and analyze geospatial datasets.

• Collaborate with engineering, GIS, and product teams to deliver reliable data solutions.

• Document system architecture, workflows, and technical processes to support maintainability and knowledge sharing.

Requirements

• Bachelor’s degree in Computer Science, GIS, Geospatial Science, Engineering, or a related field.

• Solid understanding of and professional experience working with spatial data, coordinate systems, and spatial processing concepts.

• Hands-on experience with FME.

• Strong experience with GIS platforms such as QGIS or ArcGIS.

• Proficient SQL skills with dedicated experience in PostgreSQL/PostGIS.

• Experience working with both spatial and non-spatial datasets.

• Strong analytical and problem-solving skills.

• Ability to troubleshoot complex technical issues and improve system performance.

• Excellent communication and collaboration skills.

Preferred Qualifications

• Experience with scripting and workflow automation (e.g., Python programming).

• Familiarity with data engineering practices and cloud environments.

• Knowledge of version control systems and CI/CD practices.

What We’re Looking For

• A detail-oriented engineer who enjoys solving complex geospatial data challenges.

• Someone who can balance operational reliability with continuous improvement initiatives.

• A collaborative team member who thrives in fast-paced and evolving environments.

Please reach out to us.