GIS Specialist

Responsibilities

• Develop professional-quality maps and cartographic products using ArcGIS Pro
• Manage and organize geospatial datasets for engineering and permitting projects
• Perform geospatial analysis to support environmental, engineering, and scientific initiatives
• Collaborate with multidisciplinary teams to deliver innovative GIS solutions
• Maintain GIS databases (including metadata) and ensure data quality and accuracy
• Develop surveys for field data collection using Field Maps Designer and Survey123
• Opportunities to develop web applications (e.g., ArGIS Experience Builder, ArGIS Dashboards, Leaflet, and others) as time and interest allows

Qualifications

• 0-5 years of experience applying GIS and spatial analysis in support of engineering, hydrology, or environmental science projects
• Bachelor’s degree in an environmental science field with applied geospatial and GIS component or credential
• Experience with ArcGIS Pro
• Experience with ArcGIS Online and ESRI web-based applications
• Intermediate experience creating professional cartographic products
• Understanding of geospatial analysis concepts, including spatial statistics and the Spatial Analyst toolkit (or equivalent open-source tools)
• Knowledge of spatial projections and datums
• Experience working with geospatial data, including: ESRI Geodatabases, KML, GeoPackage, JSON, Elevation data (DEM, point clouds, TIN), and Satellite imagery (Sentinel, Landsat), Derived Products (Land Cover/Classification)
• Strong curiosity, adaptability, and willingness to learn new software and technologies
• Ability to support multiple technical disciplines and projects simultaneously
• Strong written and verbal communication skills, with the ability to collaborate across disciplines and convey technical concepts to varied audiences
• Strong organization and data management skills
• Knowledge of QGIS and Google Earth Engine preferred
• Knowledge of programming languages such as python, R, SQL, and Arcade (ESRI) preferred
• Familiarity with geospatial libraries such as GDAL and GRASS GIS preferred