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Freelance Geospatial Data Engineer Jobs in Washington, DC

Vantor

Senior Geospatial Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

The ideal candidate is part geospatial programmer, part data librarian, and part visualization developer. You will use Python to process and analyze large geospatial datasets, manage and curate ...

Vantor

Senior Geospatial Data Engineer - Vantor

Mclean, VA · On-site

$117K - $141K/yr

The ideal candidate is part geospatial programmer, part data librarian, and part visualization developer. You will use Python to process and analyze large geospatial datasets, manage and curate ...

Corner Alliance

Geospatial Developer

Washington, DC · On-site

You will work closely with engineering, data, and program teams to ensure geospatial data and applications are reliable, accessible, and capable of supporting large-scale operational and strategic ...

Corner Alliance

Geospatial Developer

Washington, DC · On-site

You will work closely with engineering, data, and program teams to ensure geospatial data and applications are reliable, accessible, and capable of supporting large-scale operational and strategic ...

GRVTY

Geospatial Data Manager

Springfield, VA · On-site

... geospatial and enterprise data to ensure accuracy, accessibility, and usability across analytic ... Additionally, you will collaborate closely with analysts, engineers, and cross-functional mission ...

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Freelance Geospatial Data Engineer information

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How much do freelance geospatial data engineer jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for freelance geospatial data engineer in Washington, DC is $52.81, according to ZipRecruiter salary data. Most workers in this role earn between $40.58 and $65.34 per hour, depending on experience, location, and employer.

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Freelance Geospatial Data Engineer jobs near you
Infographic showing various Freelance Geospatial Data Engineer job openings in Washington, DC as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $109,850 per year, or $52.8 per hour.

Geospatial Data Systems Engineer (TS/SCI + Poly)

Mclean, VA

Aperio Global
Guided Missile and Space Vehicle Manufacturing • 1 - 10 employees
Learn more about Aperio Globalexternal

Full-time

Posted 23 days ago

Job description

Senior Geospatial Data Engineer
TS/SCI with Polygraph Required
McLean VA

At Aperio Global, we solve complex national security challenges through data, analytics, and emerging technologies. We're seeking a Senior Geospatial Data Engineer to develop scalable geospatial solutions that transform complex datasets into actionable intelligence.

You'll leverage Python, ArcGIS Enterprise, and Tableau to automate data workflows, manage enterprise GIS content, and deliver visualization products that support mission-critical decision making.

What You'll Do
Partner with mission stakeholders to understand geospatial data, analytics, and visualization requirements.
Develop Python automation for geospatial data processing, transformation, validation, and publication.
Build, maintain, and enhance ArcGIS Enterprise/Portal content, including hosted feature layers, web maps, dashboards, and map services.
Design Tableau dashboards and visual analytics that communicate complex geospatial information.
Integrate spatial and tabular datasets into scalable analytical solutions.
Manage enterprise geospatial data, metadata, quality assurance, and lifecycle processes.
Create technical documentation and collaborate across multidisciplinary engineering and mission teams.

Required Qualifications
Active TS/SCI with Polygraph
Bachelor's degree in GIS, Geography, Computer Science, Engineering, Data Science, or related field.
Senior-level experience supporting geospatial engineering, GIS development, or data engineering.
Strong Python development experience for automation and geospatial data processing.
Hands-on experience with ArcGIS Enterprise/Portal and enterprise GIS content management.
Experience with Tableau or similar business intelligence platforms.
Working knowledge of spatial data management, geoprocessing, and PostgreSQL/PostGIS.
Strong analytical, communication, and problem-solving skills.
Preferred Skills

Experience with ArcGIS Pro, ArcPy, GeoPandas, GDAL, QGIS, Shapely, Rasterio, Elasticsearch, Kibana, PostgreSQL/PostGIS, cloud-hosted GIS environments, Amazon S3, Git, Jira, DevOps, containerization, Agile development, spatial analytics, or machine learning.

160-220k

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