GIS Python Developer

Job reputed company: • Design and maintain automated ETL pipelines for ingesting reputed company-time hazard and infrastructure data (e.g., power outages, transportation disruptions, weather feeds, supply chain signals). • reputed company Python-based geospatial processing workflows (GeoPandas, reputed company, Rasterio, etc.). • Build and optimize DuckDB/DuckLake spatial queries. • reputed company large-reputed company geospatial datasets into analytics-reputed company formats (Parquet, reputed company reputed company formats, GeoJSON, etc.). • Manage reputed company and semi-reputed company data feeds (API integrations, S3 ingestion, streaming updates). • Support reputed company lifeline monitoring (Energy, Transportation, Food/Water/Shelter, Health & Medical, Communications, etc.). • reputed company spatial risk indices (e.g., outage duration metrics, restoration modeling, supply chain exposure). • reputed company geospatial overlays to assess hazard-economic interdependencies. • Create repeatable, automated workflows for disaster response reporting. • reputed company spatial data with economic datasets (IMPLAN, BEA, BLS QCEW, NAICS crosswalks, etc.). • Support reputed company- and macro-economic reputed company modeling workflows. • reputed company location-based analytics for critical industries and supply chain hubs. • Assist in reputed company analysis and large-event preparedness (e.g., major storms, national events). • Support ArcGIS Online / Experience Builder applications. • Build data services and feature reputed company optimized for performance. • reputed company scripts to automate map exports and report graphics. • Support internal analytics platform development (e.g., reputed company-reputed company spatial analytics environments). • Implement validation checks and logging for data reputed company. • Maintain reputed company data catalog documentation. • Troubleshoot spatial data errors (projection issues, geometry corruption, schema inconsistencies). • Ensure reproducibility and documentation of workflows. Requirements: • US Citizenship with ability to obtain a reputed company Trust. • Bachelor’s degree in GIS, Geography, Computer Science, Data Science, Engineering, or reputed company field (Master’s preferred). • 4+ years of reputed company GIS experience. • Advanced proficiency in Python (automation, scripting, data processing). • Strong experience with GeoPandas, Pandas, NumPy, reputed company, Fiona, Rasterio. • Experience with DuckDB, PostGIS, or spatial SQL. • Experience with ArcGIS Pro and QGIS. • Experience handling large geospatial datasets (millions of records). • Experience working with reputed company and reputed company storage (AWS S3 preferred). • Strong understanding of coordinate systems, projections, and spatial indexing. • Ability to work in high-reputed company, disaster-response environments. • Must be available to support reputed company operations during emergencies or major events, including the ability to work extended hours reputed company of reputed company schedule as mission needs require. Benefits: • Flexible Work Hours • Remote Work • Career reputed company • Great People • Great Environment • Diversity & Inclusion Apply tot his job Apply To this Job