

System Soft Technologies
Geospatial Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Geospatial Engineer with a 6+ month remote contract, offering a competitive pay rate. Required skills include insurance domain experience, proficiency in Python, PostgreSQL, and open-source technologies, along with strong geospatial fundamentals and spatial SQL expertise.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 3, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Visualization #Pandas #BigQuery #Indexing #PostgreSQL #SQL (Structured Query Language) #Python #Snowflake #Strategy #Scala
Role description
Position: Geospatial Engineer
Location: Richmond, VA (work is remote)
Duration: 6+ months
Must have required Insurance Domain work experience
Primary Responsibility: Design, build, and operate the Geo-spatial solution consisting of large applications with focus on analysis like geocoding, point in polygon, nearest neighbor, grid framework (hexagonal or projected grids) that converts geocoded latitude/longitude data into stable, scalable grid IDs.
Key Responsibilities:
• Implement hexagonal hierarchical grids (e.g., H3) or custom projected grids
• Convert high-precision geocodes (6-decimal lat/lon) into grid IDs
• Manage grid resolution strategy (micro → territory → state)
• Building spatial joins for policies, claims, and hazard layers
• Generate grid polygons for visualization and QA
• Optimize spatial operations for scale (millions of points)
Required Skills:
• Open-Source technologies like Geo-server, QGIS
• ESRI ArcGIS, ArcGIS Pro, MapInfo
• Python (h3, shapely, geopandas, pyproj)
• Understanding of hierarchical spatial indexing
• Strong geospatial fundamentals (CRS, projections, distortion)
• Experience with spatial SQL - PostgreSQL or BigQuery GIS, PostGIS, Snowflake GIS
Position: Geospatial Engineer
Location: Richmond, VA (work is remote)
Duration: 6+ months
Must have required Insurance Domain work experience
Primary Responsibility: Design, build, and operate the Geo-spatial solution consisting of large applications with focus on analysis like geocoding, point in polygon, nearest neighbor, grid framework (hexagonal or projected grids) that converts geocoded latitude/longitude data into stable, scalable grid IDs.
Key Responsibilities:
• Implement hexagonal hierarchical grids (e.g., H3) or custom projected grids
• Convert high-precision geocodes (6-decimal lat/lon) into grid IDs
• Manage grid resolution strategy (micro → territory → state)
• Building spatial joins for policies, claims, and hazard layers
• Generate grid polygons for visualization and QA
• Optimize spatial operations for scale (millions of points)
Required Skills:
• Open-Source technologies like Geo-server, QGIS
• ESRI ArcGIS, ArcGIS Pro, MapInfo
• Python (h3, shapely, geopandas, pyproj)
• Understanding of hierarchical spatial indexing
• Strong geospatial fundamentals (CRS, projections, distortion)
• Experience with spatial SQL - PostgreSQL or BigQuery GIS, PostGIS, Snowflake GIS





