GIS Data Engineer

This is a fully remote position, open to applicants in Maryland.

📋 Description

• Create and deploy reusable pipelines for the ingestion, standardization, validation, and dissemination of geospatial datasets.

• Develop and sustain authoritative reference layers such as PLSS/CadNSDI, land status, Surface Management Agency data, split estate, corridors, critical habitats, and other pertinent spatial datasets.

• Transform and publish geospatial datasets utilizing GeoParquet and maintain PostGIS serving layers for application and spatial-query tasks.

• Establish automated workflows for georeferencing scanned maps, plats, location maps, and survey drawings.

• Convert information obtained from maps and documents into validated vector geometry.

• Collaborate with Content Pipeline Engineers to integrate OCR and document extraction outcomes with geospatial processing.

• Analyze and convert legal descriptions, bearings, distances, coordinates, parcel details, and survey data into geospatial features.

• Develop reusable processing patterns for well, lease, unit, communitization agreements, right-of-way, project-area, and other permitting-related geometries.

• Execute spatial joins, intersections, overlays, proximity calculations, and other spatial transformations.

• Oversee coordinate reference systems, transformations, spatial precision, and indexing.

• Implement automated geometry validation, topology checks, and reconciliation processes.

• Ensure provenance between generated geometries, source documents, and originating systems is preserved.

• Optimize geospatial datasets and spatial queries for enhanced application and analytical performance.

• Establish reusable GIS engineering standards and document processing workflows.

⛳️ Requirements

• Bachelor’s degree in Geographic Information Systems, Geography, Geomatics, Computer Science, Engineering, or a related technical field.

• Over 5 years of experience in GIS engineering, geospatial data engineering, software engineering, or a related area.

• Proficient in Python and SQL with a background in building automated geospatial data pipelines.

• Practical experience with GeoParquet and PostGIS.

• Extensive experience working with vector and raster geospatial data.

• Familiarity with geospatial libraries and tools such as GDAL, GeoPandas, Shapely, PROJ, Rasterio, or similar technologies.

• Strong grasp of coordinate reference systems, spatial transformations, spatial indexing, and geometry validation.

• Experience with spatial joins, overlays, topology validation, geometry repair, and other spatial-processing tasks.

• Experience in georeferencing raster maps, scanned maps, or similar source materials.

• Familiarity with AWS S3 or similar cloud object storage and cloud-native geospatial processing methods.

• Capability to design repeatable and automated geospatial pipelines rather than relying predominantly on manual desktop GIS workflows.

🏝️ Benefits

• Medical, dental, and vision insurance coverage.

• 401k plan with employer contributions.

• Paid holidays.

• Vacation time.

• Tuition reimbursement.