Geospatial Data Software Engineer (Regular/Senior)

Join our team as a Geospatial Data/Software Engineer and help our clients design, develop, implement and maintain advanced geospatial solutions. The role focuses on developing applications using ArcGIS Experience Builder and working across the broader ESRI ecosystem, including ArcGIS Online and ArcGIS Enterprise. You will also support clients in geospatial consulting and software/data engineering, and help implement advanced spatial data processing systems.

• Experience developing and configuring applications with ArcGIS Experience Builder, including custom widgets and integrations
• Solid understanding of spatial data models and best practices in spatial data management
• Proficiency in Python at an intermediate level or higher
• Knowledge of JavaScript/TypeScript and web development concepts relevant to Experience Builder
• Experience automating spatial data processing with ESRI, FME or open-source tools
• Experience integrating cloud solutions (Azure, AWS) with GIS environments
• Familiarity with Jira or Azure DevOps
• Knowledge of data sharing methodologies and cloud-based environments
• Experience with Earth Observation (EO) spatial-temporal datasets
• 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, and ArcPy
• Ability and willingness to work across the ESRI ecosystem including ArcGIS Enterprise
• Experience in training, fine-tuning and using AI models for object inference from satellite, aerial, and/or drone imagery
• Fluency in English, written and spoken

Nice to have:

• Experience using AI tools in daily workflows

• Design, develop and maintain applications using ArcGIS Experience Builder, including custom functionality and integrations
• Work with ArcGIS Online and ArcGIS Enterprise solutions and integrate Experience Builder applications with other ESRI components
• Process and manage geospatial data from diverse sources, including Earth Observation (EO) imagery
• Design and maintain ETL pipelines
• Integrate spatial data from multiple systems
• Develop automation solutions for spatial data workflows
• Build cloud-based geospatial applications (web and mobile)
• Provide geospatial consulting for clients using ESRI, commercial, and open-source GIS technologies