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Geoint Remote Jobs (NOW HIRING)

Senior Program Manager

Tampa, FL · Remote

$109K - $110K/yr

Lead execution of a multi-year strategic program involving ISR, GEOINT, remote sensing, intelligence analysis, training, technology integration, and operational support. * Provide executive oversight ...

New

GEOINT Analyst Mid

Charlottesville, VA · Remote

$110K - $150K/yr

Provides non-literal analysis to produce intelligence products, using remote sensing methodologies ... Supports GEOINT collection experiments and employs measures of effectiveness to assess remote ...

Louis, MO area - Hybrid (On-site and Remote) What You Will Do Your responsibilities will include ... Experience in developing GEOINT products and reports Compensation & Benefits * Competitive base ...

Louis, MO area - Hybrid (On-site and Remote) What You Will Do Your responsibilities will include ... Experience in developing GEOINT products and reports Compensation & Benefits * Competitive base ...

Integrate hyperspectral analytics with other GEOINT, remote sensing, and intelligence data sources. * Prepare technical reports, briefings, white papers, and documentation for government stakeholders.

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Analyst - GEOINT Technical SME applies their technical and analytical capabilities to support key business and security ...

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Geoint Remote information

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$29.5K

$84.5K

$171.5K

How much do geoint remote jobs pay per year?

As of Jun 26, 2026, the average yearly pay for geoint remote in the United States is $84,456.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $113,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by GEOINT Remote professionals, and how can they be addressed?

GEOINT Remote professionals often encounter challenges related to data integration, ensuring the accuracy of geospatial intelligence from disparate sources, and dealing with large volumes of satellite imagery and sensor data. Collaborating effectively with multidisciplinary teams—such as analysts, IT specialists, and field operators—is crucial to overcoming these hurdles. Utilizing advanced analytical tools, maintaining strong communication channels, and staying updated with evolving geospatial technologies are key strategies for success in this role.

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

To thrive as a GEOINT Remote Analyst, you need expertise in geospatial analysis, remote sensing, and geographic information systems (GIS), typically supported by a degree in geography, geospatial sciences, or a related field. Familiarity with tools such as ArcGIS, ERDAS IMAGINE, and remote sensing platforms, as well as relevant security clearances, is often required. Strong analytical thinking, attention to detail, and effective communication skills are essential soft skills for interpreting complex imagery and collaborating with multidisciplinary teams. These skills ensure accurate intelligence assessments and support critical decision-making in defense, security, and disaster response operations.

What is the difference between Geoint Remote vs GIS Analyst?

AspectGeoint RemoteGIS Analyst
Required CredentialsBachelor's in Geography, GIS, or related field; GIS certificationsBachelor's in Geography, GIS, or related field; GIS certifications
Work EnvironmentRemote, often independent or team-basedOffice or remote, depending on employer
Industry UsageDefense, intelligence, government agenciesUrban planning, environmental management, government
Search & Comparison IntentFocus on remote geospatial analysis rolesBroader GIS roles, often in local or office settings

Geoint Remote and GIS Analyst roles share similar credentials and work environments, but Geoint Remote is specialized for remote geospatial intelligence work, often in defense or government sectors. GIS Analysts may work in various industries and settings, including in-office or remote. Understanding these differences helps job seekers target the right roles based on their skills and preferences.

What is a GEOINT Remote analyst?

A GEOINT Remote analyst is a professional who specializes in collecting, analyzing, and interpreting geospatial intelligence (GEOINT) data using remote sensing technologies such as satellites, drones, and aerial imagery. These analysts support decision-making in areas like national security, disaster response, and environmental monitoring by identifying patterns, changes, and threats on the earth’s surface. They work with geographic information systems (GIS), image analysis software, and large datasets to provide actionable insights for government agencies, military, and private sector clients.
More about Geoint Remote jobs
What cities are hiring for Geoint Remote jobs? Cities with the most Geoint Remote job openings:
What are the most commonly searched types of Geoint jobs? The most popular types of Geoint jobs are:
What states have the most Geoint Remote jobs? States with the most job openings for Geoint Remote jobs include:
Lead Data Scientist IV - GEOINT/Remote Sensing

Lead Data Scientist IV - GEOINT/Remote Sensing

Pacific Northwest National Laboratory

Richland, WA • On-site, Remote

$166K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago


Job description

Overview
At PNNL, our core capabilities are divided among major departments that we refer to as Directorates within the Lab, focused on a specific area of scientific research or other function, with its own leadership team and dedicated budget.
Our Science & Technology directorates include National Security, Earth and Biological Sciences, Physical and Computational Sciences, and Energy and Environment. In addition, we have an Environmental Molecular Sciences Laboratory, a Department of Energy, Office of Science user facility housed on the PNNL campus.
The National Security Directorate (NSD) drives science-based, mission-focused solutions to take on complex, real-world threats to our nation and the world.
The AI and Data Analytics Division, part of NSD, combines profound domain expertise and creative integration of advanced hardware and software to deliver computational solutions that address complex data and analytic challenges. Working in multidisciplinary teams, we connect foundational research to engineering to operations, providing the tools to innovate quickly and field results faster. Our strengths are integrated across the data analytics lifecycle, from data acquisition and management to analysis and decision support.
Responsibilities
PNNL is seeking a Lead Data Scientist with expertise in data science and a passion for solving mission-critical challenges in the geospatial intelligence (GEOINT) domain. The selected candidate will contribute to research and development programs within the AI and Data Analytics Division which specializes in data science, applied mathematics, advanced analytic architectures, software engineering, and human-centered computing.
The Data Scientist will work as part of interdisciplinary teams to deliver data-driven solutions that address critical national security challenges. This individual will collaborate with peers to develop machine learning (ML) models, analyze geospatial datasets, and perform research that bridges cutting-edge methods and field-ready solutions. The candidate will support PNNL's mission by contributing to impactful R&D projects that help tackle national challenges.
Successful candidates will have the opportunity to grow professionally while working on diverse, mission-focused projects. At PNNL, we foster a collaborative and innovative work environment aimed at lifelong learning, creative problem-solving, and advancing interdisciplinary, data-driven innovation.
Key Responsibilities:
  • Designs and implements innovative GEOINT data science solutions, addressing complex technical challenges related to imagery analysis, object detection, data fusion, and geospatial workflows.
  • Serves as a principal investigator (PI) or co-PI on projects or tasks contributing to the integration of multiple capabilities or interdisciplinary approaches.
  • Leads efforts to develop and deploy ML pipelines to process and analyze large quantities of geospatial data in operational environments.
  • Mentors and guides junior staff, fostering technical excellence and professional development within the team.
  • Explores and generates new ideas for proposals and business opportunities by identifying emerging national security needs related to GEOINT analytics.
  • Builds and maintains external partnerships to increase the technical reputation of the team and align project outcomes with sponsor priorities.
  • Collaborates with multi-disciplinary teams, including software engineers, geospatial analysts, and operational mission specialists, to transition research outputs into usable, field-ready solutions.
  • Ensures compliance with quality, safety, and security standards in all project tasks and serve as a role model for adhering to these standards.

This position is based in either Richland, WA or Seattle, WA and requires an onsite presence.
Qualifications
Minimum Qualifications:
  • BS/BA and 7+ years of relevant work experience -OR-
  • MS/MA and 5+ years of relevant work experience -OR-
  • PhD with 3+ year of relevant experience

Preferred Qualifications:
  • Advanced degree in data science, computer science, physics, mathematics, or a similar discipline.
  • Expertise in GEOINT workflows, including experience with remote sensing platforms, multi-modal data fusion, and advanced geospatial analytics.
  • Experience working with hyperspectral imaging data in the long-wave infrared, including:
    • Developing and validating machine learning-based detection, classification, and unmixing algorithms
    • Full product pipeline experience (radiometric calibration, atmospheric correction, geometric correction, etc.)
    • Strong spectral sensing fundamentals (radiative transfer, reflectance/emissivity, absorption features, SNR/noise modeling, sensor characterization)
    • Applying ML techniques to hyperspectral data fusion for geospatial intelligence applications
    • Proficiency with hyperspectral analysis and visualization tools (e.g., ENVI/IDL)
  • Experience working with Synthetic Aperture Radar (SAR) data (complex/IQ and formed products), including:
    • Developing and validating both traditional signal-processing and machine learning-based detection and classification algorithms
    • End-to-end SAR image product conversion pipeline experience
    • Proficiency with SAR rendering tools
    • Strong knowledge of SAR/RADAR theory fundamentals (wave propagation, scattering, speckle, Doppler/geometry, calibration, etc.)
  • Hands-on experience and strong proficiency with geospatial analysis tools (e.g., GDAL, GeoPandas, Google Earth Engine) and machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Experience training, fine-tuning, and applying deep learning models for remote sensing and GEOINT applications, including Automatic Target Recognition (ATR), object detection, and segmentation, using models and frameworks such as YOLO, Detectron2, DINOv2, Segment Anything Model (SAM), Vision Transformers, and geospatial foundation models.
  • Experience deploying operational solutions, ensuring scalability and applicability in secure or mission-critical environments.
  • Proven success in proposal development and securing external funding to support technical work or research programs.
  • Experience working with or supporting national security mission sponsors such as the Department of Energy (DOE), Department of Defense (DoD), Department of Homeland Security (DHS), or similar organizations.
  • Strong communication and leadership skills, including the ability to present technical findings to diverse audiences and stakeholders and to collaborate effectively within multi-disciplinary teams.

Hazardous Working Conditions/Environment
Not applicable.
Additional Information
This position requires the ability to obtain and maintain a federal security clearance.
A security clearance background investigation includes review of your employment, education, financial, and criminal history, as well as interviews with you and your personal references, neighbors, and co-workers to determine trustworthiness, reliability, and loyalty to the United States. The investigation also examines your foreign connections, drug and alcohol use, foreign influence, and overall conduct.
Requirements:
  • U.S. Citizenship
  • Background Investigation: Applicants selected will be subject to a Federal background investigation and must meet eligibility requirements for access to classified matter in accordance with 10 CFR 710, Appendix B.
  • Drug Testing: All Security Clearance positions are Testing Designated Positions, which means that the applicant selected for hire is subject to pre-employment drug testing, and post-employment random drug testing. In addition, applicants must be able to demonstrate non-use of illegal drugs, including marijuana, for the 12 consecutive months preceding completion of the requisite Questionnaire for National Security Positions (QNSP).

Note: Applicants will be considered ineligible for security clearance processing by the U.S. Department of Energy if non-use of illegal drugs, including marijuana, for 12 months cannot be demonstrated.
"Referral Eligible"
Testing Designated Position
This position is a Testing Designated Position (TDP). The candidate selected for this position will be subject to pre-employment and random drug testing for illegal drugs, including marijuana, consistent with the Controlled Substances Act and the PNNL Workplace Substance Abuse Program.
About PNNL
Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, and flexible work schedules. PNNL is located in eastern Washington State-the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab's campus is only a 45-minute flight (or ~3 hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
Commitment to Excellence and Equal Employment Opportunity
Our laboratory is committed to fostering a work environment where all individuals are treated with fairness and respect while solving critical challenges in fundamental sciences, national security, and energy resiliency. We are an Equal Employment Opportunity employer.
Pacific Northwest National Laboratory (PNNL) is an Equal Opportunity Employer. PNNL considers all applicants for employment without regard to race, religion, color, sex, national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.
We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov.
Drug Free Workplace
PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.
If you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn.
Security, Credentialing, and Eligibility Requirements
As a national laboratory, PNNL is responsible for adhering to the Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which require new employees to obtain and maintain a HSPD-12 Personal Identify Verification (PIV) Credential. To obtain this credential, new employees must successfully complete the applicable tier of federal background investigation post hire and receive a favorable federal adjudication. The tier of federal background investigation will be determined by job duties and national security or public trust responsibilities associated with the job. All tiers of investigation include a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last 1 to 7 years (depending on the applicable tier of investigation). Illegal drug activities include marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.
For foreign national candidates:
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) Federal risk determination to maintain employment. Once you meet the three-year residency requirement thereafter, you will be required to obtain a PIV credential to maintain employment. The tier of federal background investigation required to obtain the PIV credential will be determined by job duties at the time you become eligible for the PIV credential.
Mandatory Requirements
Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from having any affiliation with the foreign government of a country DOE has identified as a "country of risk" without explicit approval by DOE and Battelle. If you are offered a position at PNNL and currently have any affiliation with the government of one of these countries, you will be required to disclose this information and recuse yourself of that affiliation or receive approval from DOE and Battelle prior to your first day of employment.
Rockstar Rewards
Employees and their families are offered medical insurance, dental insurance, vision insurance, robust telehealth care options, several mental health benefits, free wellness coaching, health savings account, flexible spending accounts, basic life insurance, disability insurance*, employee assistance program, business travel insurance, tuition assistance, relocation, backup childcare, legal benefits, supplemental parental bonding leave, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company-funded pension plan* and may enroll in our 401 (k) savings plan with company match*. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year.
* Research Associates excluded.
**All benefits are dependent upon eligibility.
Click Here For Rockstar Rewards
Notice to Applicants
PNNL lists the full pay range for the position in the job posting. Starting pay is calculated from the

Pacific Northwest National Laboratory logo

About Pacific Northwest National Laboratory

Sourced by ZipRecruiter

Pacific Northwest National Laboratory (PNNL) is a premier research institution based in Richland, Washington, US. Operated by Battelle Memorial Institute under contract to the US Department of Energy (DOE), it is one of the DOE's seventeen national laboratories. PNNL primarily specializes in fields such as environmental science, energy, nuclear science, and national security. Founded in 1965, the lab has since been committed to its core values of integrity, creativity, collaboration, impact, and courage. Their mission is "to transform the world through courageous discovery and innovation." Notable achievements include significant contributions to projects like the Human Genome Project and the development of grid-friendly appliances.

Industry

Scientific research and development services

Company size

1,001 - 5,000 Employees

Headquarters location

Richland, WA, US

Year founded

1965