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Remote Gis Software Engineer Jobs in Washington, DC

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... This role reports to the Manager of Software Engineering and provides the opportunity to work on ...

Software Engineer

Washington, DC · On-site +1

$100K - $230K/yr

Our software engineers take part in creating some of the most innovative software solutions in the ... Salary Range: $100,000 - $230,000 per year This position is primarily remote; however, onsite ...

Software Engineer

Arlington, VA · Remote

$120K - $160K/yr

None Potential for Remote Work: ORA_HYBRID Description Position Overview: The Intelligent Virtual Agent (IVA) Software Engineer will design, develop, and maintain cloud-native web applications using ...

Software Engineer-AFRL

Alexandria, VA · Remote

$125K - $165K/yr

Mid-Senior Level Software Engineer Location ... Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be cleared Are you ready to be ...

Software Engineer-AFRL

Alexandria, VA · Remote

$131K - $172K/yr

Mid-Senior Level Software Engineer Location ... Remote / Alexandria, VA Clearance: Active TS/SCI or eligibility to be cleared Are you ready to be ...

We are seeking a Software Engineer to join our team. Working at NT Concepts means that you are part ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities:

Software Engineer

Chantilly, VA · Hybrid

$69K - $158K/yr

Remote Work: No Job Number: R0247781 Location: Chantilly,VA,US Share job via: Share Software Engineer The Opportunity: Booz Allen is looking for a Software Engineer who is driven by purpose and ready ...

Software Engineer

Chantilly, VA · On-site

$69K - $158K/yr

Remote Work: No Job Number: R0244279 Location: Chantilly,VA,US Share job via: Share Software Engineer The Opportunity: Booz Allen is looking for a Software Engineer who is driven by purpose and ready ...

Senior Software Engineer

Chantilly, VA · On-site +1

$126K - $166K/yr

Senior Software Engineer Location: Chantilly, Virginia Security Clearance: Active TS/SCI with ... Hybrid Work Environment Flexible work arrangements may include a combination of remote and onsite ...

Showing results 41-60

Remote Gis Software Engineer information

See Washington, DC salary details

$36.2K

$110.7K

$182.9K

How much do remote gis software engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for remote gis software engineer in Washington, DC is $110,708.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,100.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a remote GIS software engineer?

A Remote GIS Software Engineer is a technology professional who designs, develops, and maintains Geographic Information Systems (GIS) software while working from a location outside a traditional office. They use programming languages and GIS platforms to create tools for mapping, spatial analysis, and data visualization. These engineers collaborate with teams, often across different locations, to deliver solutions for industries such as urban planning, environmental management, and logistics. Working remotely allows them to access and manage GIS data and applications virtually, using cloud-based tools and secure connections.

What are the key skills and qualifications needed to thrive as a remote GIS software engineer?

To thrive as a Remote GIS Software Engineer, you need expertise in geographic information systems (GIS), programming languages such as Python or JavaScript, and a degree in computer science, geography, or a related field. Familiarity with GIS platforms like ArcGIS or QGIS, and experience with cloud services, version control (e.g., Git), and spatial databases are typically required. Strong problem-solving skills, effective remote communication, and self-motivation help you excel in a distributed work environment. These skills and qualities are crucial for developing reliable location-based solutions and collaborating efficiently with remote teams.

What are some common challenges faced by remote GIS software engineers and how can they be addressed?

Remote GIS Software Engineers often encounter challenges related to communication and collaboration, especially when working with distributed teams on complex geospatial projects. Misunderstandings can arise due to differences in time zones or lack of face-to-face interactions. To address these issues, it's helpful to establish clear communication channels, use collaborative development tools, and schedule regular meetings to synchronize progress. Additionally, staying updated with the latest GIS technologies and maintaining a proactive approach to problem-solving can help remote engineers remain effective and engaged.

What is the difference between Remote Gis Software Engineer vs Remote GIS Analyst?

AspectRemote GIS Software EngineerRemote GIS Analyst
Required CredentialsBachelor's in Computer Science, GIS, or related field; programming skills; GIS software knowledgeBachelor's in Geography, GIS, or related field; GIS software proficiency; data analysis skills
Work EnvironmentDeveloping GIS applications, coding, software developmentAnalyzing spatial data, creating maps, reporting
Employer & Industry UsageTech companies, GIS service providers, government agenciesEnvironmental firms, urban planning, government agencies

Remote GIS Software Engineers focus on developing GIS applications and coding, while Remote GIS Analysts analyze spatial data and create maps. Both roles require GIS knowledge but differ in technical development versus data analysis tasks.

What are popular job titles related to Remote Gis Software Engineer jobs in Washington, DC?

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

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

The top searched job categories for Remote Gis Software Engineer jobs in Washington, DC are:

Infographic showing various Remote Gis Software Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% Remote job distribution, with an average salary of $110,708 per year, or $53.2 per hour.

Software Engineer

Relativity

Washington, DC • On-site, Remote

Full-time

Medical, Retirement

Re-posted 14 days ago


Job description

Posting Type

Hybrid/Remote

Job Overview

WHO WE ARE
Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other high-stakes legal work where accuracy and trust are crucial.
The world's largest law firms, corporations, and government agencies rely on Relativity's legal AI software to securely surface and manage the most relevant and impactful information in their matters. Beyond our commercial impact, we're deeply committed to expanding access to technology for academic institutions through Relativity Academic and supporting pro bono legal work through Justice for Change.
WHAT WE DO
At Relativity, engineers don't just write code. They build the systems that power AI-driven workflows at massive scale, enabling customers to uncover insights and act on complex data with confidence.
aiR Services Team
The aiR Services team builds the shared backend platform that powers Relativity's generative AI products. These systems enable secure and scalable access to foundation models across the aiR Suite while handling challenges such as limited model capacity, global data privacy requirements, and fair usage across products and customers. The team works on high-throughput, distributed systems that route AI traffic across regions and providers, protect downstream services from reliability risks, and optimize cost and performance at scale.
If you're excited about building platforms that power an entire product suite, working with generative AI systems in production, and solving distributed systems challenges at global scale, this is a high-impact team to join.

Job Description and Requirements

ABOUT THE ROLE

As a Software Engineer, you will build and operate backend services that power Relativity's generative AI platform, aiR. You will work at the intersection of distributed systems, cloud infrastructure, and applied AI, helping to deliver reliable, scalable systems that sit on the critical path of AI-powered workflows.

This role reports to the Manager of Software Engineering and provides the opportunity to work on multi-region, multi-cloud systems that handle large-scale AI traffic and complex orchestration challenges.

WHAT YOU'LL DO

  • Design and build performant, scalable, and secure backend services with a strong focus on quality, not just meeting requirements
  • Collaborate with a software development team to deliver high-quality, reliable systems that operate at massive scale
  • Develop and maintain systems that support high-throughput AI workloads, including asynchronous job orchestration and distributed processing
  • Write comprehensive unit and integration tests supported by static analysis and thoughtful test strategy development
  • Contribute to improving engineering processes by recommending enhancements to tools, workflows, and practices
  • Participate in pair programming to improve software quality and share design and implementation knowledge
  • Contribute to building systems that route and manage AI traffic efficiently while maintaining reliability and fairness across workloads

WHAT WE'RE LOOKING FOR

Required

  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience
  • Experience building backend services using languages such as C#, Python, or similar
  • Understanding of software engineering disciplines and the ability to work across multiple layers of the application stack
  • Strong foundational knowledge of distributed systems, scalability, and backend service design

Preferred

  • Understanding of DevOps principles and experience with tools such as GitHub Actions
  • Experience working with large language model (LLM) APIs or generative AI systems
  • Experience designing and building scalable systems in Azure or other cloud platforms
  • Experience with Kubernetes, serverless technologies, and cloud-native architectures
  • Familiarity with domain-driven design and event-driven architecture
  • Experience with AI-driven development practices or AI-assisted coding tools
  • Awareness of emerging technology trends and their practical application in engineering

WHY WE COULD BE A GREAT FIT

Impactful AI Platform

  • Build foundational systems that power Relativity's generative AI capabilities and enable products across the aiR Suite.

Distributed Systems at Scale

  • Work on high-throughput, multi-region services that handle large volumes of AI traffic reliably and efficiently.

Cutting-Edge Technology

  • Gain hands-on experience with generative AI systems, cloud-native infrastructure, and modern distributed architectures.

Growth Opportunity

  • Develop deep expertise in backend systems, cloud platforms, and AI-driven services while working on highly visible, impactful projects.

Collaborative Culture

  • Work with a team that values strong engineering fundamentals, shared ownership, and continuous learning.

Compensation and Benefits

  • Competitive salary, health and retirement programs, wellness resources, discretionary time off (DTO), parental leave for primary and secondary caregivers, company-wide breaks, home office stipend, and an equity program.

Relativity is committed to competitive, fair, and equitable compensation practices.

This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives.

The expected salary range for this role is between following values:

$79,000 and $119,000

The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position.

Required Skills:

Automation, Documentations, Engineering Design, Problem Solving, Process Improvements, Project Management, Quality Assurance (QA), Research and Development, System Integration, Troubleshooting