Niyam IT

GIS Python Developer

Niyam IT

full-time

Posted on:

Location Type: Remote

Location: District of Columbia • Washington • United States

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Tech Stack

AWSCloudETLNumpyPandasPostGISPythonSQL

About the role

  • 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.

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
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonGeoPandasShapelyRasterioDuckDBPostGISArcGIS ProQGISAPI integrationsdata processing
Soft Skills
ability to work in high-tempo environmentsdisaster-response supportstrong understanding of data integritytroubleshooting skillsdocumentation skills
Certifications
Bachelor’s degree in GISBachelor’s degree in GeographyBachelor’s degree in Computer ScienceBachelor’s degree in Data ScienceBachelor’s degree in EngineeringMaster’s degree in related field