Geospatial Data Software Engineer

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Project description:

Join our Geospatial Business Unit as a Spatial Data / Software Engineer and play a key role in helping our clients implement, optimize, and maintain advanced spatial data processing systems. You will work with both commercial and open-source technologies to build scalable, cloud-based geospatial solutions.

Requirements:

• Strong understanding of spatial data models and best practices in spatial data management

• Proficiency in Python (intermediate level or higher)

• Experience automating spatial data processing using ESRI, FME, or open-source tools

• Experience integrating cloud platforms (Azure, AWS) with GIS environments

• Working knowledge of Jira or Azure DevOps

• Familiarity with data-sharing methodologies and cloud-based architectures

• Knowledge of EO spatiotemporal datasets

• Passion for spatial data and a strong analytical mindset

• Excellent communication skills and a business-oriented approach

• Fluency in English, both written and spoken

Nice to have:

• Experience with ESRI products, including:

  • ArcGIS Pro

  • ArcGIS Online (Experience Builder, Field Maps, Hub, Map Viewer, Survey123, Workflow Manager)

  • ArcGIS Notebooks

  • ArcGIS API for Python, arcpy

• Experience managing or administering ArcGIS Online/Portal

• Experience training, fine-tuning, and applying AI models for object detection/inference using satellite, aerial, or drone imagery

Main responsibilities:

• Process and manage geospatial data from diverse sources, including Earth Observation (EO) datasets

• Design, develop, and maintain ETL pipelines

• Integrate spatial data from multiple external and internal systems

• Develop automation solutions to streamline geospatial data workflows

• Build cloud-based geospatial applications for web and mobile environments