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Geospatial Data Engineer Remote Jobs in Washington, DC

GRVTY

Data Scientist, Senior

Chantilly, VA · On-site +1

You will work closely with software developers, systems architects, and government stakeholders to ... Experience with geospatial data, imagery products, or remote sensing datasets -- familiarity with ...

Booz Allen Hamilton, Inc.

Data Engineer

Chantilly, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0248636 Location: Chantilly,VA,US Share job via: Share Data Engineer ... Experience with Geospatial Services and implementation of OGC web standards including WMS and WFS

GRVTY

Data Scientist, Senior

Chantilly, VA · On-site +1

You will work closely with software developers, systems architects, and government stakeholders to ... Experience with geospatial data, imagery products, or remote sensing datasets - familiarity with ...

Booz Allen Hamilton, Inc.

Data Engineer

Washington, DC · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0246782 Location: Washington,DC,US Share job via: Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence ...

Niyam IT, Inc.

Principal Engineer, GIS

Fairfax, VA · On-site +1

Remote Work: Niyam understands the value of flexibility. We offer remote work. * Career Growth ... Define technical strategy, reference architectures, and engineering standards for geospatial data ...

TSTC

Systems Enginer

Washington, DC · On-site +1

$140K - $160K/yr

Experience with geospatial systems, geospatial data standards, or related mission applications ... Flexible Work Options - Remote work allowed, flexible schedules, and telework opportunities ...

TSTC

Systems Enginer

Washington, DC · On-site +1

$140K - $160K/yr

Experience with geospatial systems, geospatial data standards, or related mission applications ... Flexible Work Options - Remote work allowed, flexible schedules, and telework opportunities ...

Whitespace

Data Scientist

Alexandria, VA · Remote

As pioneers in the geospatial industry, our Agentic AI Platform, Iris, accelerates speed-to-answer ... Collaborate with the engineering and research & development teams to develop, refine, and scale ...

Whitespace

Data Scientist

Alexandria, VA · On-site +1

As pioneers in the geospatial industry, our Agentic AI Platform, Iris, accelerates speed-to-answer ... Collaborate with the engineering and research & development teams to develop, refine, and scale ...

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All JobsGeospatial Data Engineer JobsGeospatial Data Engineer Remote JobsGeospatial Data Engineer Remote Jobs in Washington, DC

Geospatial Data Engineer Remote information

See Washington, DC salary details

$50.4K

$146.9K

$201K

How much do geospatial data engineer remote jobs pay per year?

As of Sep 9, 2026, the average yearly pay for geospatial data engineer remote in Washington, DC is $146,916.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,700.00 and $155,700.00 per year, depending on experience, location, and employer.

What is a geospatial data engineer?

A Geospatial Data Engineer is a technology professional who designs, develops, and manages systems for collecting, storing, analyzing, and visualizing geospatial (location-based) data. They work with geographic information systems (GIS), spatial databases, and cloud platforms to process large datasets from sources like satellites, drones, and sensors. In a remote setting, they collaborate with teams online to build and maintain geospatial data pipelines and support decision-making for industries such as urban planning, environmental science, and logistics.

What are the typical challenges faced by remote geospatial data engineers when collaborating with distributed teams?

Remote Geospatial Data Engineers often navigate challenges such as coordinating across different time zones, ensuring data consistency, and maintaining effective communication with team members who may have varying technical backgrounds. Utilizing collaborative tools like version control systems and cloud-based platforms helps streamline workflows, but clear documentation and regular check-ins are essential to prevent misunderstandings. Building strong relationships virtually and proactively addressing technical or logistical issues can greatly enhance productivity and teamwork in a remote setting.

What are the key skills and qualifications needed to thrive as a geospatial data engineer in a remote role, and why are they important?

To thrive as a Geospatial Data Engineer (Remote), you need a strong background in GIS, geospatial analysis, and computer science, often supported by a related degree and experience with spatial databases. Proficiency with tools like Python, SQL, PostGIS, ArcGIS, and cloud platforms is typically required, along with relevant certifications such as GISP. Excellent problem-solving, communication, and self-management skills are essential for collaborating across distributed teams and delivering results independently. These skills ensure effective management of complex geospatial datasets, seamless integration of spatial data solutions, and success in a remote work environment.

What is the difference between Geospatial Data Engineer Remote vs GIS Analyst?

AspectGeospatial Data Engineer RemoteGIS Analyst
Required CredentialsBachelor's in GIS, Geography, Computer Science; experience with GIS software and programmingBachelor's in Geography, GIS, or related field; proficiency in GIS tools
Work EnvironmentRemote, often collaborative with teams across locationsTypically office-based or hybrid; fieldwork possible
Employer & Industry UsageTech companies, government agencies, environmental firmsUrban planning, government, environmental consulting
Common Search & ComparisonOften compared for GIS and data engineering roles in remote settings

The main difference between a Geospatial Data Engineer Remote and a GIS Analyst lies in their focus and skill set. Geospatial Data Engineers primarily develop and maintain data pipelines and infrastructure, often requiring programming skills, while GIS Analysts focus on spatial data analysis and map creation. Both roles may work remotely and share similar educational backgrounds, but their daily tasks and technical expertise differ significantly.

What are the most commonly searched types of Geospatial Data Engineer jobs in Washington, DC?

The most popular types of Geospatial Data Engineer jobs in Washington, DC are:

What are popular job titles related to Geospatial Data Engineer Remote jobs in Washington, DC?

For Geospatial Data Engineer Remote jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Geospatial Data Engineer Remote jobs in Washington, DC look for?

The top searched job categories for Geospatial Data Engineer Remote jobs in Washington, DC are:

Geospatial Data Engineer Remote jobs near you
Infographic showing various Geospatial Data Engineer Remote job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $146,916 per year, or $70.6 per hour.

Full Stack Engineer

Washington, DC • On-site, Remote

Knak Digital
See more jobs at Knak Digitalexternal

$120/hr

Full-time

Posted 9 days ago

Job description

An established strategy consulting firm is looking for a remote full stack engineer to join the team behind its geospatial intelligence platform for telecom network analytics. The platform has been in production for over a decade (Java, React, PostgreSQL/PostGIS) and is now being rebuilt into an AI-first system with interactive analytics, richer reporting, and next-generation fiber network design at national scale.

  • Build features across the front end, backend services, and geospatial data stores that support automated network design and national-scale data exploration
  • Improve algorithms for fiber network planning, including geospatial analysis, routing, clustering, and cost modeling
  • Refactor the architecture to separate core domain logic from IO and orchestration so it can be reused across workflows
  • Prototype AI-assisted analysis and agentic workflows that help users interrogate network designs and financial outcomes
  • Build reporting outputs that combine maps, charts, tables, and engineering or financial narratives into shareable analyses
  • Take work from proof of concept through production, with tests, observability, and performance tuning along the way

What you need:

  • 5+ years of full stack engineering, ideally on data-intensive, geospatial, analytics, or infrastructure planning platforms
  • Advanced JavaScript/TypeScript with deep React experience
  • Strong backend engineering in Java, Node.js, or Python, with the ability to design APIs and domain models
  • Experience with PostgreSQL, PostGIS, and spatial data or large-scale data processing
  • Comfort with graph and network theory, routing, optimization, and computational geometry
  • Solid architecture instincts around modularity and composable system design

Nice to have: telecom or fiber network planning background, experience with mapping libraries like D3.js, deck.gl, or Mapbox, exposure to LLM or agentic development workflows, and cloud/container experience with Docker, Kubernetes, or Terraform.

Comp and logistics:
$120-180K annually or $60-100/hour, contract. Initial 3 month term. Remote-first, globally distributed team.