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Geospatial Jobs in Virginia (NOW HIRING)

We are seeking a Geospatial Platform Engineer to support geospatial, imagery, AI/ML, and data-driven application development, deployment, and operations. This role will focus on moving mission ...

None Geo cgi is seeking a Geospatial Solutions Engineer to support geospatial modernization efforts at Langley Air Force Base. This role serves as a trusted technical advisor embedded with Air Force ...

Geospatial Analyst III

Glen Allen, VA · On-site

$75K - $97K/yr

Dewberry is currently seeking a Geospatial Analyst for our geospatial, solutions, and analytics team in our Richmond, VA office. Typical responsibilities include development of geospatial data, maps ...

Geospatial Analysis SME Lead TULK is a boutique strategic technology and management consulting firm supporting U.S. Federal Government, Defense, Intelligence Community, and National Security ...

Apply Early

GRVTY is seeking a motivated and experienced Geospatial Analyst to provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data curation and ...

Geospatial Analyst III

Glen Allen, VA · Hybrid

$75K - $97K/yr

Dewberry is currently seeking a Geospatial Analyst for our geospatial, solutions, and analytics team in our Richmond, VA office. Typical responsibilities include development of geospatial data, maps ...

Dewberry is currently seeking a Geospatial Analyst for our geospatial, solutions, and analytics team. Typical responsibilities include development of geospatial data, maps, and applications for ...

Geospatial Analyst III

Fairfax, VA · On-site

$77K - $99K/yr

Dewberry is currently seeking a Geospatial Analyst for our geospatial, solutions, and analytics team. Typical responsibilities include development of geospatial data, maps, and applications for ...

Req ID: 40536 Summary Mid Geospatial Engineer Vienna, VA Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where ...

What Impact You'll Have GRVTY is seeking a motivated and experienced Geospatial Analyst to provide geospatial and imagery expertise and quantitative analysis to make recommendations that improve data ...

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Geospatial information

See Virginia salary details

$18

$28

$46

How much do geospatial jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for geospatial in Virginia is $28.90, according to ZipRecruiter salary data. Most workers in this role earn between $22.40 and $33.61 per hour, depending on experience, location, and employer.

What jobs pay $500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include executive roles such as CEOs and CFOs, specialized medical professionals like neurosurgeons, and successful entrepreneurs. Certain senior roles in finance, law, and technology, especially with bonuses and stock options, can also achieve this level of income, often requiring extensive experience, advanced skills, and leadership responsibilities.

What are the key skills and qualifications needed to thrive as a Geospatial Analyst, and why are they important?

To thrive as a Geospatial Analyst, you need a solid grounding in geography, data analysis, spatial reasoning, and typically a degree in geography, GIS, or a related field. Familiarity with GIS software (such as ArcGIS or QGIS), remote sensing tools, and spatial databases is essential, and certifications like GISP can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights. These skills enable accurate mapping and analysis, which are critical for informed decision-making in sectors like urban planning, environmental management, and logistics.

Is GIS a high demand job?

Geospatial jobs, including GIS specialists, are in high demand across industries such as urban planning, environmental management, and transportation due to the increasing reliance on spatial data analysis and mapping tools like ArcGIS and QGIS. Employers seek professionals with skills in data management, spatial analysis, and certifications, leading to strong job growth prospects.

What are geospatial jobs?

Geospatial jobs involve working with geographic information systems (GIS), remote sensing, mapping, and spatial data analysis. These professionals collect, analyze, and interpret data related to the Earth’s surface to support decision-making in fields like urban planning, environmental science, transportation, and defense. Typical roles include GIS analysts, cartographers, remote sensing specialists, and geospatial data scientists. Geospatial professionals use specialized software to visualize and analyze data, helping organizations solve complex spatial problems.

What are some common challenges faced by geospatial professionals when integrating data from multiple sources?

Geospatial professionals often encounter challenges when integrating data from various sources, such as inconsistencies in data formats, varying levels of accuracy, and differences in coordinate reference systems. Ensuring data compatibility and maintaining data integrity can be time-consuming, especially when dealing with legacy datasets or unstructured data. Effective communication with stakeholders and strong problem-solving skills are essential for resolving these issues and delivering reliable geospatial analyses.

What are geospatial careers?

Geospatial careers involve working with geographic information systems (GIS), remote sensing, cartography, and spatial analysis to collect, analyze, and interpret geographic data. These roles often require proficiency with GIS software, GPS technology, and spatial data management, and can be found in sectors like urban planning, environmental management, and defense.

Are GIS jobs hard to get?

GIS jobs can be competitive, especially for entry-level positions, but having relevant skills such as proficiency in GIS software like ArcGIS or QGIS, along with a strong educational background or certifications, can improve your chances. Gaining experience through internships or projects also helps in securing these roles.

What is the difference between Geospatial vs GIS Technician?

AspectGeospatialGIS Technician
Required CredentialsGIS certifications, degrees in geography, GIS, or related fieldsGIS certifications, associate or bachelor’s in GIS or related fields
Work EnvironmentFieldwork, data collection, analysis, mapping projectsOffice-based, GIS software operation, data management
Industry UsageUsed across environmental, urban planning, defense, and transportation sectorsPrimarily in urban planning, government agencies, and environmental firms

Both Geospatial and GIS Technician roles involve working with geographic data, but Geospatial is broader, encompassing data collection, analysis, and interpretation across various platforms. GIS Technicians focus more on managing GIS software and data within office environments. Understanding these differences helps in choosing the right career path or job search focus.

What Are Geospatial Jobs?

Geospatial jobs are those where you use GPS and GIS technology to gather information to understand spatial relations between objects and locations on Earth. Geospatial jobs include titles such as geospatial manager, project manager, GIS analyst, GIS specialist, geospatial analysis management specialist, GIS developer, geospatial engineer, and GIS coordinator. The responsibilities of these jobs vary. Your duties may be more project management and supervisory related, more focused on technical design and data analysis, or you may be required to provide technical support and maintenance for GIS and GPS technology.

What is a geospatial job?

A geospatial job involves working with geographic data and mapping technologies to analyze, interpret, and visualize spatial information. Common tools include Geographic Information Systems (GIS) software, and roles often require skills in data analysis, cartography, and spatial reasoning.
What are the most commonly searched types of Geospatial jobs in Virginia? The most popular types of Geospatial jobs in Virginia are:
What are popular job titles related to Geospatial jobs in Virginia? For Geospatial jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Geospatial jobs in Virginia look for? The top searched job categories for Geospatial jobs in Virginia are:
What cities in Virginia are hiring for Geospatial jobs? Cities in Virginia with the most Geospatial job openings:
Infographic showing various Geospatial job openings in Virginia as of June 2026, with employment types broken down into 90% Full Time, 2% Part Time, 1% Temporary, and 7% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $60,107 per year, or $28.9 per hour.

Geospatial Platform Engineer

Maxar

Mclean, VA

Full-time

Retirement

Posted 24 days ago


Job description

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what's happening now and shape what's coming next. Vantor is a place for problem solvers, changemakers, and go-getters-where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.

To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.

Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).

Please review the job details below.

This position requires an active U.S. Government Security Clearance at the TS/SCI level with required polygraph.

We are seeking a Geospatial Platform Engineer to support geospatial, imagery, AI/ML, and data-driven application development, deployment, and operations. This role will focus on moving mission capabilities from prototype to production through hands-on software development, data and service integration, Kubernetes-based platforms, containerized architectures, CI/CD automation, observability, and secure DevSecOps practices.

The ideal candidate is a self-directed engineer with demonstrated experience developing and supporting geospatial, imagery, AI/ML, or analytic applications in secure hybrid environments, including cloud, on-premises, virtualized, and classified infrastructure. This person should be comfortable researching unfamiliar technologies, implementing solutions with minimal guidance, and collaborating across software, AI/ML, cloud, security, and mission teams.

Responsibilities

  • Develop and integrate backend services, APIs, data connectors, plugins, and platform components that support geospatial, imagery, AI/ML, and analytic workflows.
  • Build data ingest, enrichment, transformation, indexing, alerting, API, and analytic service components for mission-focused applications.
  • Design, deploy, and maintain containerized application architectures using Docker, Kubernetes, Rancher, RKE2, or similar technologies.
  • Create and improve CI/CD pipelines, reusable deployment patterns, infrastructure automation, and DevSecOps workflows using tools such as Ansible, Terraform, Packer, or similar technologies.
  • Support geospatial visualization, 3D terrain/model visualization, imagery access, and map-based analytic workflows using tools and frameworks such as Cesium, OMAR, or similar technologies.
  • Operationalize AI/ML models at scale through model integration, inference services, deployment automation, monitoring, and production support.
  • Troubleshoot complex issues across application code, Linux, containers, Kubernetes, CI/CD pipelines, APIs, networking, data services, and AI/ML-enabled environments.

Minimum Qualifications

  • Bachelor's degree in computer science, information systems, engineering, data science, geospatial science, or related area of study.
  • Minimum 8 years of experience with a Bachelor's degree; or 7 years of experience with a Master's degree; or 6 years of experience with a Doctorate.
  • Active/current TS/SCI with required polygraph; US citizenship required; willingness to work onsite full time.
  • Strong experience developing production software using languages such as Python, Java, C++, JavaScript, TypeScript, SQL, Bash, or similar languages.
  • Demonstrated experience supporting geospatial, imagery, AI/ML, data-driven, or analytic applications.
  • Experience with Docker, Kubernetes, CI/CD pipelines, infrastructure automation, and containerized architectures in hybrid, on-premises, virtualized, or classified environments.
  • Ability to work independently, research and evaluate technical approaches, implement solutions with minimal guidance, document decisions, and collaborate across technical teams.

Preferred Qualifications

  • Demonstrated experience supporting geospatial analytics, imagery systems, mapping platforms, earth observation, full-motion video, EO/SAR, remote sensing, or related mission applications.
  • Experience developing geospatial services, data connectors, backend APIs, plugin architectures, image processing utilities, or analytic platform components.
  • Familiarity with 3D geospatial visualization, Cesium, OMAR image library, terrain/tileset services, imagery catalogs, or map-based analytic applications.
  • Experience with computer vision, image/video processing, object detection, tracking, classification, segmentation, feature extraction, or model inference workflows.
  • Hands-on experience with Apache Airflow, PostgreSQL/PostGIS, Elasticsearch, Trino/Presto, and other geospatial technologies.
  • Experience supporting model integration, ML pipelines, scalable inference services, NVIDIA Triton, data fusion, tipping and alerting, or production AI/ML runtime environments.
  • Experience with Rancher, RKE2, OpenShift, AWS, Azure, VMware vSphere, HashiCorp Vault, Artifactory, GitOps, Prometheus, Grafana, ELK/OpenSearch, CIS benchmarks, STIGs, ATO processes, or related tooling and practices.

Pay Transparency: To support pay transparency, Vantor includes salary ranges in all U.S. job postings. Starting pay for this role will fall within the listed range and will be based on factors such as experience, qualifications, skills, location, and market conditions. Candidates who meet the minimum requirements for the role should not expect to receive compensation at the top of the range. The listed range reflects the expected pay for this position, and final offers will be determined based on each candidate's experience, expertise, and alignment with the role.

The base pay for this position within the Washington, DC metropolitan area is: $161,000.00 - $215,000.00 - $236,500.00 annually.

For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.

Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at:https://www.Vantor.com/careers

The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.

The date of posting can be found on Vantor's Career page at the top of each job posting.

To apply, submit your application via Vantor's Career page.

EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.