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Niyam IT

GIS Python Developer

Posted 13 Days Ago
In-Office or Remote
Hiring Remotely in Washington, DC
Mid level
In-Office or Remote
Hiring Remotely in Washington, DC
Mid level
Develop and maintain Python-based geospatial ETL pipelines and workflows to ingest real-time hazard and infrastructure data, perform spatial analyses, build risk indicators and analytics-ready datasets, support ArcGIS Online apps and dashboards, integrate spatial and economic data for impact modeling, ensure data quality and documentation, and support surge operations for disaster response.
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About Niyam IT (Niyam)

Niyam IT was founded in 2007 by a group of consultants who shared a unique vision: a technology company steeped in orderly process yet driven by passion and innovation. Over the following decade, we fine-tuned our craft and built an impressive track record of successful outcomes, securing our reputation as the go-to provider of smart, innovative solutions.

Today, Niyam is at the forefront of the industry, leading the way in crafting mission-critical technologies for Emergency Preparedness & Response, Natural Resource Management, Law Enforcement & Justice, Health IT, and Global Citizen Services.

What We Offer:

  • 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.

Join us in creating a workplace where innovation, diversity, and well-being thrive. Your journey at Niyam IT awaits. Apply today!

 

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. 

Roles and 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.

    Qualifications and Education 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.

    Preferred Skills:

    •    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.

    Application Deadline: This position will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.

    Niyam IT, Inc. is an Equal Opportunity (“EEO”) Employer. All qualified applicants will receive consideration without regard to race, color, creed, religion, sex, sexual orientation, gender identity, pregnancy, marital status, partnership status, age, citizenship status, veteran or military status, medical condition, genetic information, national origin, disability, unemployment status or any other characteristic prohibited by federal, state and/or local laws.  If you require a reasonable accommodation due to a disability to complete your application, or if you face challenges using our online application system and need an alternative way to apply, please reach out to us at +1 703.429.2450 or email [email protected].

    Top Skills

    Python,Geopandas,Pandas,Numpy,Shapely,Fiona,Rasterio,Duckdb,Ducklake,Postgis,Sql,Arcgis Pro,Qgis,Arcgis Online,Arcgis Experience Builder,Aws S3,Apis,Parquet,Geojson,Docker,Ci/Cd,Implan,Bea,Bls Qcew,Naics

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