Vista Applied Solutions Group Inc
Geocode Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Geocode Engineer with a contract length of "unknown" and a pay rate of "unknown." Key skills include expertise in geospatial technologies, Python, and spatial SQL. Experience with hierarchical spatial indexing is essential.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
March 17, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#PostgreSQL #Scala #Indexing #Visualization #BigQuery #Pandas #Snowflake #SQL (Structured Query Language) #Python #Strategy
Role description
Geospatial Engineer
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
Geospatial Engineer
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
