1

Geospatial Intelligence Jobs in Texas (NOW HIRING)

The ideal candidate combines strong econometric and statistical modeling skills with geospatial ... intelligence capabilities Basic Qualifications: Bachelor's degree required from an accredited ...

About Us We are a growing company that distills insights from satellite imagery and various other geospatial data sources into actionable intelligence for energy companies, financial market actors ...

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Experience working with geospatial data formats and spatial data processing * Experience supporting scientific or ecosystem modeling workflows preferred * Familiarity with workflow orchestration ...

Partner with PRI (Property Research & Intelligence), TDS (Technology & Data Solutions), and the GIS team to ensure governance of time series and geospatial data, particularly as geography-based ...

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Experience working with geospatial data formats and spatial data processing * Experience supporting scientific or ecosystem modeling workflows preferred * Familiarity with workflow orchestration ...

Data Engineer

Houston, TX · On-site

$95K - $130K/yr

Experience working with geospatial data formats and spatial data processing * Experience supporting scientific or ecosystem modeling workflows preferred * Familiarity with workflow orchestration ...

The Data Scientist will be responsible for fusing structured and unstructured data sources (e.g., FinCEN, open-source intelligence, geospatial data platforms such as ArcGIS) and developing automated ...

The Data Scientist will be responsible for fusing structured and unstructured data sources (e.g., FinCEN, open-source intelligence, geospatial data platforms such as ArcGIS) and developing automated ...

next page

Showing results 1-20

Geospatial Intelligence information

See Texas salary details

$58.2K

$72.1K

$86.2K

How much do geospatial intelligence jobs pay per year?

As of Jun 30, 2026, the average yearly pay for geospatial intelligence in Texas is $72,068.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,500.00 and $76,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by professionals working in Geospatial Intelligence (GEOINT) 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 GIS in high demand?

Geospatial Intelligence professionals, including GIS specialists, are in high demand across industries such as defense, urban planning, and environmental management due to the increasing reliance on spatial data analysis and mapping tools like ArcGIS and QGIS. The field offers growth opportunities for those with skills in data analysis, remote sensing, and GIS software, often requiring certifications or specialized training.

What do you do in geospatial intelligence?

In geospatial intelligence, professionals analyze geographic data and imagery to support national security, defense, or environmental decision-making. They use tools like GIS software and satellite imagery, often working with large datasets to identify patterns, track changes, and produce maps or reports. Strong analytical skills and knowledge of remote sensing are essential in this field.

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

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.

Is GIS a good career choice?

Geospatial Intelligence is a growing field that involves analyzing geographic data using GIS software and tools. It offers opportunities in government, defense, environmental management, and urban planning, often requiring technical skills and certifications. The career can be stable and well-paying for those with strong analytical and technical abilities.

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 supported by security clearances and specialized training. The career offers opportunities in government agencies, defense contractors, and private sector companies with a demand for technical expertise.
What cities in Texas are hiring for Geospatial Intelligence jobs? Cities in Texas with the most Geospatial Intelligence job openings:
Land.com - Senior Data Scientist

Land.com - Senior Data Scientist

CoStar Group

Austin, TX • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

Land.com - Senior Data Scientist
Job Description
CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index, CoStar Group is on a mission to digitize the world's real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives.
We have been living and breathing the world of real estate information and online marketplaces for over 35 years, giving us the perspective to create truly unique and valuable offerings to our customers. We've continually refined, transformed and perfected our approach to our business, creating a language that has become standard in our industry, for our customers, and even our competitors. We continue that effort today and are always working to improve and drive innovation. This is how we deliver for our customers, our employees, and investors. By equipping the brightest minds with the best resources available, we provide an invaluable edge in real estate.
Land.com
Land.com offers the largest and most effective marketplaces to discover, buy and sell rural real estate. The Land.com network connects millions of active buyers and landowners with the best local real estate professionals every month across three platforms.
Learn more about Land.com.
Role Description:
We are seeking a Senior Data Scientist to lead development and expansion of AcreValue's predictive land valuation models and to help build the foundation for future AI-driven capabilities within the platform.
This role will focus primarily on expanding AV+ parcel-level land valuation and predictive modeling capabilities in collaboration with internal engineering and product teams.
The ideal candidate combines strong econometric and statistical modeling skills with geospatial data expertise, and can design models that are interpretable, defensible, and explainable to both technical and non-technical stakeholders. Equally important is the ability to independently research complex problems, investigate economic, geospatial, and environmental factors influencing land valuation, identify relevant datasets, evaluate modeling approaches, and translate findings into practical production models.
This role will work closely with engineering teams to operationalize valuation modeling workflows and scalable prediction processes, while contributing technical expertise toward the platform's future AI initiatives, including natural language parcel search and AI-driven land insights.
This role is located in our Austin office and has a schedule of 5 days on-site.
Responsibilities:
  • Design, develop, and maintain parcel-level land valuation and predictive models used across the AcreValue platform
  • Research and expand valuation methodologies across diverse geographies and land types using geospatial, economic, and environmental data
  • Develop statistical and econometric models that are transparent, defensible, and explainable to both technical and non-technical stakeholders
  • Research land-use, economic, environmental, and geospatial factors influencing land values and incorporate findings into production predictive modeling approaches
  • Identify and prototype new datasets and model features prior to engineering implementation
  • Define and implement model evaluation, validation, and monitoring frameworks
  • Partner with engineering teams to operationalize valuation modeling workflows models, including training, prediction generation, validation and retraining processes
  • Contribute to research, prototyping, and technical evaluation of AI-driven land intelligence capabilities

Basic Qualifications:
  • Bachelor's degree required from an accredited, not-for-profit, in-person college/university
  • A track record of commitment to prior employers.
  • Experience building statistical or econometric models in Python for real-world predictive applications
  • Experience working with large geospatial datasets and spatial data concepts, including vector and raster formats, coordinate systems, and spatial joins

Preferred Qualifications:
  • Advanced degree in Economics, Data Science, Agricultural Economics, Statistics, Geospatial Science, Applied Mathematics, or Computer Science
  • Experience with Python geospatial libraries such as GeoPandas, Shapely, GDAL, or Rasterio
  • Experience working with spatial databases such as PostGIS or MongoDB with geospatial queries
  • Experience with parcel data, land cover datasets, satellite imagery, or soil and cropland data layers
  • Background in agricultural economics, farmland valuation, or real estate valuation
  • Experience deploying data science or machine learning systems in cloud environments such as AWS
  • Familiarity with GIS tools such as QGIS

What's in it for you?
When you join CoStar Group, you'll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed.
We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training, and tuition reimbursement.
Our benefits package includes (but is not limited to):
  • Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
  • Life, legal, and supplementary insurance
  • Virtual and in person mental health counseling services for individuals and family
  • Commuter and parking benefits
  • 401(K) retirement plan with matching contributions
  • Employee stock purchase plan
  • Paid time off
  • Tuition reimbursement
  • On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes
  • Access to CoStar Group's Employee Resource Groups
  • Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks

We welcome all qualified candidates who are currently eligible to work full-time in the United States to apply. However, please note that CoStar Group is not able to provide visa sponsorship for this position.
#LI-CG1
#Land.com
CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing