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Niyam IT logo
Niyam IT

IT consulting firm offering critical solutions in Data Science, GIS Applications, Agile/DevSecOps, & Cloud Engineering.

GIS Python Developer

Backend EngineerSoftware EngineerOtherRemoteSeniorTeam 51-200H1B No SponsorCompany SiteLinkedIn

Location

District of Columbia + 1 moreAll locations: District of Columbia | Washington

Posted

107 days ago

Salary

0

Seniority

Senior

Bachelor Degree4 yrs expEnglishAWSETLNumPyPandasPostGISPythonSQL

Job Description

GIS Python Developer

Niyam IT

• Design and maintain automated ETL pipelines for ingesting real-time hazard and infrastructure data (e.g., power outages, transportation disruptions, weather feeds, supply chain signals). • Develop Python-based geospatial processing workflows (GeoPandas, Shapely, Rasterio, etc.). • Build and optimize DuckDB/DuckLake spatial queries. • Transform large-scale geospatial datasets into analytics-ready formats (Parquet, cloud native formats, GeoJSON, etc.). • Manage structured and semi-structured data feeds (API integrations, S3 ingestion, streaming updates). • Support FEMA lifeline monitoring (Energy, Transportation, Food/Water/Shelter, Health & Medical, Communications, etc.). • Develop spatial risk indices (e.g., outage duration metrics, restoration modeling, supply chain exposure). • Perform geospatial overlays to assess hazard-economic interdependencies. • Create repeatable, automated workflows for disaster response reporting. • Integrate spatial data with economic datasets (IMPLAN, BEA, BLS QCEW, NAICS crosswalks, etc.). • Support micro- and macro-economic impact modeling workflows. • Develop location-based analytics for critical industries and supply chain hubs. • Assist in surge analysis and large-event preparedness (e.g., major storms, national events). • Support ArcGIS Online / Experience Builder applications. • Build data services and feature layers optimized for performance. • Develop scripts to automate map exports and report graphics. • Support internal analytics platform development (e.g., open-source spatial analytics environments). • Implement validation checks and logging for data integrity. • Maintain structured data catalog documentation. • Troubleshoot spatial data errors (projection issues, geometry corruption, schema inconsistencies). • Ensure reproducibility and documentation of workflows.

Job Requirements

  • US Citizenship with ability to obtain a Public Trust.
  • Bachelor’s degree in GIS, Geography, Computer Science, Data Science, Engineering, or related field (Master’s preferred).
  • 4+ years of professional GIS experience.
  • Advanced proficiency in Python (automation, scripting, data processing).
  • Strong experience with GeoPandas, Pandas, NumPy, Shapely, 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 APIs and cloud storage (AWS S3 preferred).
  • Strong understanding of coordinate systems, projections, and spatial indexing.
  • Ability to work in high-tempo, disaster-response environments.
  • Must be available to support surge operations during emergencies or major events, including the ability to work extended hours outside of the standard schedule as mission needs require.

Benefits

  • Flexible Work Hours
  • Remote Work
  • Career Growth
  • Great People
  • Great Environment
  • Diversity & Inclusion

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