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Geospatial Intelligence Jobs in Indiana (NOW HIRING)

... intelligence. Join a visionary team at Trimble where your expertise in geospatial technology and machine learning will directly empower global industries to build, move, and grow more efficiently ...

Geospatial Intelligence information

See Indiana salary details

$59.5K

$73.6K

$88K

How much do geospatial intelligence jobs pay per year?

As of Jun 29, 2026, the average yearly pay for geospatial intelligence in Indiana is $73,608.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $78,000.00 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.
Infographic showing various Geospatial Intelligence job openings in Indiana as of June 2026, with employment types broken down into 100% Full Time. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $73,608 per year, or $35.4 per hour.
Geospatial Data Engineer

Geospatial Data Engineer

Corteva Agriscience

Indianapolis, IN • On-site

Full-time

Medical, Retirement, PTO

Posted 4 days ago


Job description

Position Summary
We are seeking a Geospatial Data Engineer to design, build, and scale geospatial data products that support Digital Agriculture Solutions, Crop intelligence platforms.
The ideal candidate combines expertise in remote sensing, geospatial processing, and cloud-native architectures to transform Earth observation data into scalable, production-ready analytics and machine learning solutions.
Key Responsibilities
  • Design and implement scalable geospatial processing workflows using Earth observation datasets (e.g., Sentinel, SAR etc.) to generate field/regional scale insights for digital agriculture applications.
  • Architect, develop, and deploy scalable geospatial data products and cloud-native processing solutions that integrate multiple data types with earth observational datasets to support production digital agriculture solutions.
  • Partner with data scientists, agronomists, software engineers, and product teams to operationalize geospatial insights and enable scalable solutions.
  • Provide technical leadership in geospatial engineering, remote sensing, cloud architecture, and emerging Earth observation technologies, while promoting best practices in scalability, data quality, and system design

Required Qualifications
  • Bachelor's or Master's degree in Geospatial Science, Remote Sensing, GIS, Computer Science, Data Engineering, or a related field.
  • 5+ years of experience in geospatial engineering, remote sensing, geospatial software development, or related disciplines.
  • Strong experience working with raster and vector geospatial data at scale.
  • Proficiency in Python and modern geospatial processing frameworks.
  • Experience designing cloud-based geospatial processing solutions and production workflows.
  • Strong understanding of coordinate systems, projections, raster processing, and spatial analytics.

Preferred Qualifications
  • Experience with GDAL, Rasterio, GeoPandas, Shapely, Xarray, STAC APIs, or similar geospatial tools.
  • Experience with Earth Engine, GCP, AWS, Azure, or distributed processing platforms.
  • Experience integrating remote sensing, weather, soil, and observational datasets.
  • Knowledge of agricultural analytics, crop monitoring, pest forecasting, disease modeling, or related digital agriculture applications.
  • Experience supporting machine learning workflows using geospatial features.

Success in this Role
  • Deliver scalable geospatial processing systems and high-quality satellite-derived data products.
  • Enable production digital agriculture solutions through effective integration of remote sensing, weather, soil, and observational datasets.
  • Drive innovation in geospatial analytics and remote sensing capabilities across the organization.

Benefits - How We'll Support You:
  • Numerous development opportunities offered to build your skills
  • Be part of a company with a higher purpose and contribute to making the world a better place
  • Health benefits for you and your family on your first day of employment
  • Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays
  • Excellent parental leave which includes a minimum of 16 weeks for mother and father
  • Future planning with our competitive retirement savings plan and tuition reimbursement program
  • Learn more about our total rewards package here - Corteva Benefits
  • Check out life at Corteva! www.linkedin.com/company/corteva/life

Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team.
Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.