GIS Data and Visualization Engineer

Essential Job Functions and Responsibilities (Knowledge, skills, and behaviors required for this position.)

• Support geospatial database maintenance and management, including importing, exporting, querying, and quality control of spatial data within ArcGIS Enterprise environments.
• Develop and support web-based mapping applications and spatial data visualization tools, applying GIS platforms and growing familiarity with web visualization technologies.
• Apply geospatial tools and concepts to support spatial and temporal data analysis across diverse applications, including environmental management, infrastructure planning, and campus development.
• Perform spatial data collection, processing, and management, ensuring data accuracy, integrity, and compliance with established standards, including QA/QC.
• Perform work building a variety of subject matter domains which may include spatial and temporal data analysis and modeling, visualization, cartography, web-based mapping application development, spatial databasedevelopment management, spatial data collection, CAD, visualization tools, data mining tools, model and simulation, and expert analysis.
• Develop geospatial data visualization tools and products that translate complex spatial and temporal datasets into clear, actionable 2D and visual outputs for scientists, engineers, planners, and decision-makers.
• Create and maintain maps for land use planning, infrastructure characterization, natural resource management, emergency management, and other Laboratory applications using ESRI products and other GIS tools.
• Create and maintain maps and data for land use planning, infrastructure characterization, natural resource management, emergency management, and other Laboratory applications using ESRI products and other GIS tools.
• Collaborate with interdisciplinary technical teams to gather project requirements and deliver visualization solutions that support programmatic needs.
• Provide technical support for geospatial data users; assist in the implementation and documentation of geospatial solutions, user guides, and data source records.
• Participate in demonstrations and workshops of visualization capabilities for internal stakeholders, scientists, and engineers.
• Actively develop skills in 3D visualization environments, browser-based spatial applications, and extended reality (XR) platforms as a defined component of professional growth within INL's advanced visualization program.
• Build collaborative working relationships with Laboratory staff and partner organizations to support the application of geospatial visualization across INL programs.
• Assess and document the performance and quality of geospatial data products and visualization outputs; recommend improvements through established channels.
• Participate in the development and implementation of data governance frameworks with the GIS program at the INL.
• Other duties as assigned.

Required

• Bachelor's degree in Geography, GIS, Computer Science, Visualization, Environmental Science, Engineering, or a related field from an accredited institution.
• Minimum of 5 years of relevant professional experience (EX3) or 9 years (EX4); a Master's degree may substitute for experience per INL's Exempt Career Progression Matrix.
• 2-4 years working experience with SQL Server (SSMS, SSIS, SSRS), proficiency with commercial GIS software (e.g., ArcGIS) and foundational geospatial data management practices in an Enterprise environment, and GIS analysis techniques.
• Must be a U.S. Citizen.

• Master’s degree in GIS.
• GISP Certification
• Experience with SQL geodatabase data management, ArcGIS Pro, ArcGIS Enterprise, and/or Portal for ArcGIS administration across the full ESRI technology stack. and data management.
• Familiarity with 3D data formats, 3D spatial analysis, or 3D visualization environments.
• Programming experience in Python, JavaScript, R, or similar languages applied to geospatial or data visualization tasks.
• Exposure to or interest in extended reality (XR), augmented reality (AR), mixed reality (MR), or virtual reality (VR) technologies.
• Experience or interest with remote sensing, LiDAR processing, or…