ZipRecruiter

Log In

1

Geospatial Intelligence Jobs in Maryland (NOW HIRING)

Peraton

Technical Writer

Aberdeen Proving Ground, MD

$51K - $82K/yr

In addition, a strong technical background is highly desirable; prior experience in a technical or analytical field-such as work as a Signals Intelligence (SIGINT) Analyst or Geospatial Intelligence ...

Peraton

Technical Writer

Aberdeen Proving Ground, MD · On-site

$51K - $82K/yr

In addition, a strong technical background is highly desirable; prior experience in a technical or analytical field-such as work as a Signals Intelligence (SIGINT) Analyst or Geospatial Intelligence ...

Peraton

Technical Writer

Aberdeen Proving Ground, MD · On-site

$51K - $82K/yr

In addition, a strong technical background is highly desirable; prior experience in a technical or analytical field-such as work as a Signals Intelligence (SIGINT) Analyst or Geospatial Intelligence ...

Leidos

Chief Systems Architect

Gaithersburg, MD

The successful candidate will serve as the lead technical authority guiding architectural design, systems integration, and enterprise strategy across a high-visibility geospatial intelligence ...

Leidos

Chief Systems Architect

Gaithersburg, MD · On-site

The successful candidate will serve as the lead technical authority guiding architectural design, systems integration, and enterprise strategy across a high-visibility geospatial intelligence ...

HII's Mission Technologies division

$96K - $140K/yr

GEOINT/Geospatial Tools: ArcGIS Pro, Google Earth Enterprise, RemoteView, or similar * SIGINT/DNR ... Threat Intelligence Platforms: MISP, Recorded Future, or equivalent * Network Analysis ...

previous page

Showing results 41-60

All JobsGeospatial Intelligence JobsGeospatial Intelligence Jobs in Maryland

Geospatial Intelligence information

See Maryland salary details

$60.7K

$75.1K

$89.8K

How much do geospatial intelligence jobs pay per year?

As of Aug 11, 2026, the average yearly pay for geospatial intelligence in Maryland is $75,076.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,400.00 and $79,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in geospatial intelligence roles?

One common challenge in Geospatial Intelligence roles is managing and analyzing large volumes of complex spatial data from various sources, including satellite imagery, aerial photography, and sensor feeds. GEOINT professionals must ensure data accuracy and timeliness, often working under tight deadlines to support critical decision-making. They also need to stay current with evolving technologies and analytical tools, while collaborating closely with multidisciplinary teams such as analysts, IT specialists, and field operators. Balancing technical skills with effective communication is key to translating geospatial insights into actionable intelligence.

Is geospatial intelligence a good career field?

Geospatial intelligence is a growing field that involves analyzing geographic data to support national security, defense, and environmental decision-making. It requires skills in GIS software, remote sensing, and data analysis, often with security clearances or specialized certifications. The field offers opportunities in government agencies, defense contractors, and private sector companies with a focus on technology and analytical expertise.

What are the key skills and qualifications needed to thrive as a geospatial intelligence analyst?

To thrive as a Geospatial Intelligence Analyst, you need strong analytical skills, spatial reasoning, and a background in geography, GIS, or related fields, often supported by a relevant degree. Familiarity with GIS software (such as ArcGIS or QGIS), remote sensing technologies, and data visualization tools is typically required, along with certifications like GEOINT Professional Certification (GPC) being advantageous. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and conveying insights. These skills are essential for accurately analyzing geospatial data, supporting decision-making, and contributing to national security or commercial objectives.

What is the difference between Geospatial Intelligence vs GIS Analyst?

AspectGeospatial IntelligenceGIS Analyst
Required CredentialsOften requires security clearance, GIS certifications, and relevant degreesTypically requires GIS certifications and a degree in geography or related field
Work EnvironmentGovernment agencies, defense, intelligence, and military sectorsPublic and private sector organizations, urban planning, environmental agencies
Employer & Industry UsageUsed primarily in defense, intelligence, and national securityUsed in urban planning, environmental management, and business analysis
Search & Comparison IntentOften compared for roles involving security and strategic analysisCompared for geographic data analysis and mapping roles

Geospatial Intelligence focuses on strategic, security, and defense applications, often requiring security clearances. In contrast, GIS Analysts primarily work on mapping, spatial data analysis, and urban or environmental projects. While both roles involve geospatial skills, their work environments and objectives differ significantly.

What is geospatial intelligence?

Geospatial intelligence (GEOINT) is the collection, analysis, and interpretation of imagery and geospatial information to describe, assess, and visually depict physical features and activities on Earth. GEOINT combines satellite imagery, aerial photography, maps, and other geographic data to support national security, disaster response, and various decision-making processes. Professionals in this field use advanced technologies and analytical methods to provide actionable insights for government agencies, military operations, and private organizations.

Is geospatial intelligence a good career?

Geospatial intelligence is a growing field that involves analyzing geographic data to support national security, defense, and environmental efforts. It requires skills in GIS software, remote sensing, and data analysis, often with security clearances and specialized training. The career offers opportunities in government agencies, defense contractors, and private sector firms with competitive salaries and advancement potential.
What are popular job titles related to Geospatial Intelligence jobs in Maryland? For Geospatial Intelligence jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Geospatial Intelligence jobs in Maryland look for? The top searched job categories for Geospatial Intelligence jobs in Maryland are:
What cities in Maryland are hiring for Geospatial Intelligence jobs? Cities in Maryland with the most Geospatial Intelligence job openings:
Geospatial Intelligence jobs near you
Infographic showing various Geospatial Intelligence job openings in Maryland as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $75,076 per year, or $36.1 per hour.

Data Scientist - AI/ML

Science Systems & Applications

Lanham, MD • On-site

$87K - $105K/yr

Full-time

Re-posted 17 days ago

Job description

Science Systems and Applications, Inc. (SSAI) is seeking a highly motivated Data Scientist to support NASA Earth science data systems, geospatial analytics, scientific software development, and AI/ML initiatives. The role includes researching, evaluating, and applying emerging technologies such as artificial intelligence, quantum computing methodologies, and advanced analytics to advance Earth science research, geospatial data processing, and scientific discovery.

Responsibilities

  • Design, develop, and deploy machine learning and artificial intelligence models to support predictive analytics, environmental monitoring, geospatial intelligence, and Earth science research applications.
  • Develop geospatial analytics, visualization tools, and web-based applications for large environmental and remote sensing datasets.
  • Create and support RESTful APIs, web services, and cloud-based data access systems utilizing AWS and Azure cloud platforms for scalable storage, processing, and dissemination of Earth science data.
  • Develop workflows for processing, quality control, analysis, and dissemination of satellite-derived geospatial products.
  • Collaborate with scientists to translate research requirements into operational software solutions.
  • Support Earth science data archives, user services, and community engagement activities.
  • Perform spatial and temporal analysis of environmental datasets using GIS, remote sensing, and statistical methods.
  • Develop and automate data processing pipelines using Python and scientific computing frameworks, leveraging cloud services to support large-scale geospatial and remote sensing workflows.
  • Support, maintain, and integrate legacy scientific applications developed in Fortran with modern Python-based analytics, data processing, and visualization workflows.
  • Integrate diverse datasets from satellite observations, field measurements, and numerical models.
  • Prepare technical documentation, scientific reports, conference presentations, and peer-reviewed publications.
  • Collaborate with scientists, software engineers, and technology partners to identify opportunities for integrating quantum computing concepts into AI/ML workflows, high-performance computing environments, and next-generation Earth science applications.

Required Qualifications

  • Master’s Degree (M.S.) and a minimum of 5 years related experience and/or training, or equivalent combination of education and experience.
  • Experience applying AI/ML techniques to Earth science, climate, environmental, geospatial, remote sensing, or other large scientific datasets.
  • Strong programming skills in Python and experience with scientific computing workflows, including Fortran and high-performance computing environments.
  • Experience developing and deploying AI/ML solutions using cloud platforms such as AWS and Azure.
  • Experience with GIS and geospatial data processing tools.
  • Experience working with large environmental, remote sensing, or geospatial datasets.
  • Knowledge of spatial databases, web services, application development frameworks, and emerging technologies such as quantum computing.
  • Experience developing and supporting data visualization and analytics tools.
  • Strong written and verbal communication skills.
  • Ability to work effectively in multidisciplinary scientific teams.

Desired Qualifications

  • Experience supporting NASA, NOAA, USGS, or other federal Earth science programs.
  • Experience with satellite data products such as MODIS, Landsat, VIIRS, or similar Earth observation datasets.
  • Experience developing geospatial web applications and cloud-enabled data services.
  • Knowledge of GDAL, ArcGIS, GRASS GIS, or similar geospatial software packages.
  • Experience with JavaScript, Node.js, SQL, Linux, and scientific computing environments.
  • Experience with hydrologic, environmental, ecological, or climate modeling.
  • Demonstrated record of peer-reviewed scientific publications.
  • Experience interacting directly with scientific user communities and stakeholders.


EEO/AA Veterans and Individuals with Disabilities

Physical Requirements: While performing the duties of this job, the employee is regularly required to stand, walk, and use hands to touch, handle or feel objects, tools or controls. The employee frequently is required to talk and hear and occasionally required to reach with hands and arms and stoop, kneel, crouch, or crawl. Must regularly lift and/or move up to 10 pounds, and occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, peripheral vision, depth perception and the ability to adjust focus