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Spatial Computing Jobs in Washington, DC (NOW HIRING)

Required : • 2+ years of experience with Esri technology creating maps, performing spatial ... computing) • Experience in technical consulting and conceptual solution design as well as an ...

Sr. GIS Solution Engineer - Logistics

Washington, DC · On-site

$62.25 - $80.50/hr

Required : • 5+ years of experience with Esri technology, creating maps, performing spatial ... computing) • Demonstrated experience in technical consulting and conceptual solution design • ...

Experience with current technology implementation patterns including service-oriented and cloud computing architecture * Experience with ArcGIS, location-based services, geo-enabled apps, spatial ...

Required : • 2+ years of experience with Esri technology creating maps, performing spatial ... computing) • Experience in technical consulting and conceptual solution design as well as an ...

Required : • 2+ years of experience with Esri technology creating maps, performing spatial ... computing) • Experience in technical consulting and conceptual solution design as well as an ...

Required : • 2+ years of experience with Esri technology creating maps, performing spatial ... computing) • Experience in technical consulting and conceptual solution design as well as an ...

Required : • 2+ years of experience with Esri technology creating maps, performing spatial ... computing) • Experience in technical consulting and conceptual solution design as well as an ...

Required : • 2+ years of experience with Esri technology creating maps, performing spatial ... computing) • Experience in technical consulting and conceptual solution design as well as an ...

Required : • 2+ years of experience with Esri technology creating maps, performing spatial ... computing) • Experience in technical consulting and conceptual solution design as well as an ...

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Spatial Computing information

See Washington, DC salary details

$63.1K

$157.6K

$269.3K

How much do spatial computing jobs pay per year?

As of Jun 9, 2026, the average yearly pay for spatial computing in Washington, DC is $157,577.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,200.00 and $207,900.00 per year, depending on experience, location, and employer.

What is spatial computing?

Spatial computing refers to the use of digital technology to interact with and manipulate physical space and objects. It integrates technologies like augmented reality (AR), virtual reality (VR), sensors, and artificial intelligence to create immersive experiences that blend the digital and physical worlds. Spatial computing is used in various fields, such as gaming, architecture, healthcare, and manufacturing, to enhance visualization, collaboration, and data analysis. This technology enables users to interact with digital content as if it were part of their real environment.

What is the difference between Spatial Computing vs Augmented Reality Developer?

AspectSpatial ComputingAugmented Reality Developer
Required CredentialsTypically a degree in computer science, engineering, or related fields; knowledge of 3D modeling and programmingSimilar credentials, often with specialization in AR platforms and SDKs
Work EnvironmentDesigning and developing 3D environments, often involving hardware like AR/VR headsets and sensorsCreating AR applications for mobile devices or AR glasses, often in app development environments
Industry UsageUsed across gaming, architecture, healthcare, and training for spatial interactionPrimarily in entertainment, marketing, and mobile app development sectors

While both roles involve immersive technology, Spatial Computing focuses on creating comprehensive 3D environments and interactions, whereas Augmented Reality Developers specialize in overlaying digital content onto real-world views. Understanding these differences helps in choosing the right career path or project focus within immersive tech industries.

What are the key skills and qualifications needed to thrive as a Spatial Computing Specialist, and why are they important?

To excel as a Spatial Computing Specialist, a solid background in computer science, mathematics, and 3D modeling, often supported by a relevant degree or certification, is essential. Familiarity with programming languages (such as C++, Python), spatial mapping tools, AR/VR development platforms (like Unity or Unreal Engine), and sensor integration is typically required. Strong problem-solving skills, creativity, and effective cross-disciplinary communication set top professionals apart in this field. These skills are vital for developing innovative spatial computing solutions that blend digital and physical environments, driving advancements in industries such as gaming, architecture, and healthcare.

What are some common challenges spatial computing professionals face when working on cross-disciplinary teams?

Spatial computing professionals often collaborate with experts in software development, user experience design, hardware engineering, and domain specialists. A common challenge is ensuring effective communication between team members with different technical backgrounds and vocabularies. Additionally, integrating spatial data and real-world context into digital solutions requires careful coordination and iterative testing. Successful professionals are proactive in bridging knowledge gaps and fostering a shared understanding to drive project goals forward.
Infographic showing various Spatial Computing job openings in Washington, DC as of May 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 78% Physical, 4% Hybrid, and 18% Remote job distribution, with an average salary of $157,577 per year, or $75.8 per hour.
Geospatial Programmer

Full-time

Posted 18 days ago


Job description

OverviewGeospatial ProgrammerMcLean, VATS/SCI with Poly 

At Bcore, our strength comes from how we deliver impact to the mission. Whether it's architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, DevSecOps, systems engineering, software development, and operational support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision-measured outcomes, and relentless grit into mission-ready solutions. 

Do you want to join a team that is building tailored technical solutions to modernize our government's mission and our client's business?  Do you have a desire to change how people work?  Are you interested in helping to protect our nation's cyber interests? Join our growing team supporting customer missions as a Geospatial Programmer in McLean, Virginia.

Responsibilities
  • Developing custom code, scripts, modules, macro procedures, libraries, and dynamically linked libraries for geospatial analysis functions using Python to augment and analyze data
  • Providing ad-hoc support for writing scripts in Python and other coding languages to help automate geoprocessing of large datasets in response to analysts' needs. Instructing and assisting analysts in writing custom code and scripts as needed
  • Leveraging available computing resources to handle very large geospatial datasets, creating efficiencies in data management including data deduplication and reduction, streamlining geospatial data processing, and scaling processes from regional to global
Qualifications

Required Qualifications:   

  • Bachelor's degree in computer science, geography, or related area of study (relevant experience may be substituted for a degree)

  • Senior Labor Category: Minimum 8 years of experience with a Bachelor's degree; 7 years of experience with a Master's degree; or 6 years of experience with a Doctorate

  • Python Development & Automation - Scripting for data analysis, workflow automation, and application development

  • Data Modeling & Databases - Experience modeling geospatial data and working with relational databases (PostgreSQL preferred)

  • Geospatial & Image Processing - Spatial data analysis, image data extraction, and strong geospatial reasoning skills

  • Software & IT Support - Troubleshooting, system integration, and customer support

Desired Qualifications

  • Big Data & Scalable Analytics - Distributed computing and large-scale data optimization
  • Data Engineering & Infrastructure - Scalable data pipeline development, performance optimization, and data management best practices
  • Software Development Workflows - Experience with Git, Jira, and writing technical documentation
What you can expect from us

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

Employment Type: FULL_TIME