GIS Python Developer

NiyamIT • Washington, DC

1d • Remote

About The Position

Niyam is seeking a GIS Python Developer to join our team in support of a high-impact federal program. The GIS Python Developer plays a vital role in supporting national preparedness, response, and recovery efforts by building dependable geospatial data solutions that help decision makers understand evolving hazards and infrastructure impacts. This position develops and maintains automated data pipelines that ingest real time information such as power outages, transportation disruptions, weather feeds, and supply chain signals, transforming large and complex datasets into clear, actionable insights. Using Python and modern spatial tools, the developer creates efficient geospatial workflows, performs detailed spatial analysis, and develops risk indicators that highlight impacts to critical lifelines including energy, transportation, communications, food, water, shelter, and health systems.

Working closely with analysts, emergency managers, and technical teams, the role integrates spatial and economic data to support impact modeling, disaster reporting, and planning for major events, while also supporting ArcGIS Online applications and dashboards, ensuring data quality and documentation, and resolving spatial data issues to maintain accuracy and reliability in fast paced, mission focused environments. Position currently allows remote work.

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.

Nice To Haves

• Experience in emergency management or disaster response analytics.
• Familiarity with FEMA lifelines framework.
• Experience integrating power outage, transportation, weather, and supply chain datasets.
• Experience with IMPLAN or economic modeling workflows.
• Experience building ArcGIS Experience Builder dashboards.
• Experience containerizing Python workflows (Docker).
• CI/CD pipeline familiarity.
• Experience working in Agile / SAFe environments.

Responsibilities

• 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.

Benefits

• Flexible Work Hours : Life doesn’t always fit into a 9-to-5 schedule. We offer flexibility to help you manage your work-life balance effectively.
• Remote Work : Niyam IT understands the value of flexibility. We offer remote work.
• Career Growth : Niyam IT is not just a job; it’s a career journey. We provide a supportive environment for your professional development and offer fully paid opportunities for training and advancement within the company.
• Great People : Our people are the blueprint of who Niyam IT is to the industry and community.
• Great Environment : Niyam IT fosters a great environment where innovation, collaboration, and personal growth thrive.
• Diversity & Inclusion : We believe in the strength of diverse perspectives. Your unique ideas are welcomed and celebrated every day at Niyam IT.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level