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How much do remote remote sensing scientist jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote remote sensing scientist in the United States is $127,031.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,000.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a Remote Sensing Scientist?

A Remote Sensing Scientist is a professional who uses satellite or airborne sensor data to analyze and interpret information about the Earth's surface and atmosphere. They apply scientific and mathematical principles to process and analyze data collected remotely, often for purposes such as environmental monitoring, natural resource management, or urban planning. Remote Sensing Scientists often work with geographic information systems (GIS) and use specialized software to interpret imagery, detect changes over time, and generate actionable insights. Many positions in this field can be performed remotely, allowing scientists to collaborate with international teams and access global data sources.

Is remote sensing a good career?

Remote sensing scientists analyze satellite and aerial data to monitor environmental changes, support disaster management, and assist in resource exploration. The field offers growing opportunities with skills in GIS, image analysis, and programming, often requiring advanced degrees and familiarity with remote sensing tools. It can be a rewarding career for those interested in environmental science and technology.

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

To thrive as a Remote Sensing Scientist, you need expertise in geospatial analysis, image processing, and a strong background in earth sciences or related fields, often supported by an advanced degree. Proficiency in remote sensing software (such as ENVI or ERDAS IMAGINE), geographic information systems (GIS), and programming languages like Python or R is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting data and collaborating with multidisciplinary teams. These skills and qualifications are crucial for accurately analyzing satellite or aerial data and producing actionable insights for environmental monitoring, resource management, or research purposes.

Is remote sensing in demand?

Remote sensing scientists are in increasing demand due to the growing use of satellite and aerial imagery across industries such as agriculture, environmental monitoring, and urban planning. Skills in GIS, data analysis, and remote sensing software like ENVI or ArcGIS enhance job prospects in this field.

How does a Remote Sensing Scientist typically collaborate with interdisciplinary teams while working remotely?

As a Remote Sensing Scientist working remotely, you’ll frequently collaborate with experts in fields such as GIS, data analytics, ecology, and engineering. Team communication often takes place through virtual meetings, shared cloud platforms, and collaborative coding or data analysis tools. Strong communication skills are essential to convey technical findings and ensure data integration aligns with project goals. You'll also participate in regular project updates and cross-functional brainstorming sessions to address challenges and share insights.

What is the highest paying GIS job?

The highest paying GIS jobs are often senior roles such as GIS Managers, Geospatial Directors, or Remote Sensing Scientists with extensive experience and advanced skills in GIS software, remote sensing, and data analysis. These positions typically offer salaries exceeding $100,000 annually, especially in industries like government, defense, or large technology firms. Certifications and expertise in programming languages like Python or SQL can also contribute to higher compensation.

What is the difference between Remote Remote Sensing Scientist vs Remote GIS Analyst?

AspectRemote Remote Sensing Scientist
CredentialsBachelor's or Master's in Remote Sensing, Geography, or related fields; GIS certifications beneficial
Work EnvironmentPrimarily office or field-based, utilizing satellite and aerial imagery analysis remotely
Employer & IndustryResearch institutions, environmental agencies, and private companies focusing on earth observation
Comparison Search IntentUnderstanding roles involving satellite data analysis and environmental monitoring

Remote Remote Sensing Scientists focus on analyzing satellite and aerial imagery to monitor environmental changes, often requiring specialized remote sensing skills. Remote GIS Analysts work with geographic information systems to manage spatial data, often involving mapping and spatial analysis. While both roles use GIS tools, remote sensing scientists emphasize satellite data interpretation, whereas GIS analysts focus on spatial data management. Both roles are vital in environmental research, urban planning, and resource management, but their core tasks and data types differ.

Can you work remotely in GIS?

Remote Remote Sensing Scientists can often work remotely, especially when their tasks involve analyzing satellite data, GIS software, and remote sensing tools that are accessible online. Strong communication skills and familiarity with cloud-based platforms or GIS software like ArcGIS or QGIS are important for remote work in this field.
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Remote Remote Sensing Scientist jobs near you
Infographic showing various Remote Remote Sensing Scientist job openings in the United States as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 40% Physical, 3% Hybrid, and 57% Remote job distribution, with an average salary of $127,031 per year, or $61.1 per hour.
Remote Sensing Software Engineer

Remote Sensing Software Engineer

Booz Allen Hamilton, Inc.

Dayton, OH • On-site, Remote

$69K - $158K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 21 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

9th of 58 rated business consultants

Job description


Remote Work:
No
Job Number:
R0243807
Location:
Dayton,OH,US
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Remote Sensing Software Engineer
The Opportunity:
At Booz Allen, you'll join a team using advanced imaging, physics-based modeling, and AI/ML to solve some of the nation's most compelling Space Domain Awareness (SDA) and remote sensing challenges. You'll contribute to the design and development of high-fidelity processing pipelines that transform raw sensor data into insight. You'll join a collaborative technical delivery team where you'll contribute to secure, reliable, user centric tools that accelerate mission outcomes.
What You'll Work On:
  • Develop software tools for radiometric modeling and satellite observation geometry.
  • Implement imaging and signal processing workflows including motion compensation, multi-frame alignment, and super-resolution.
  • Build ML enabled detection, anomaly identification, and object classification modules using operational EO/IR and synthetic datasets.
  • Design scientific Python pipelines, such as NumPy, OpenCV, Astropy, or SciPy, for real time and batch processing.
  • Support orbital modeling tasks, such as SGP4, TLE ingestion, or basic pose estimation.
  • Conduct imagery preprocessing such as radiometric calibration, artifact correction, and multi-frame filtering.
  • Maintain reproducible environments using GitLab, containers, and experiment-tracking tools.
  • Collaborate with astrodynamics SMEs, operations personnel, and ML engineers to deliver integrated mission capabilities.

Join us. The world can't wait.
You Have:
  • 4+ years of experience with remote sensing, image processing, or GEOINT data exploitation
  • Experience designing, modifying, developing, writing, and implementing software programming applications using agile methods
  • Experience with Python and scientific Python packages such as NumPy, SciPy, OpenCV, or xarray
  • Experience with basic orbital mechanics
  • Experience with ML frameworks such as PyTorch or TensorFlow
  • Experience with large sensor datasets such as HDF5 or cloud object storage
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree in a STEM field

Nice If You Have:
  • Experience with administration of continuous integration and continuous deployment (CI/CD) pipelines using Kubernetes, Docker, or Jenkins
  • Experience with sensor phenomenology, radiometric calibration, or remote sensing interpretation
  • Experience with super-resolution, deblurring, spectral exploitation, or resolved feature extraction
  • Experience with uncertainty quantification, Kalman filtering, or tracking algorithms
  • Experience with AI augmented development workflows or agentic tools
  • Experience with GitLab based CI/CD workflows
  • Master's degree in an engineering field, Physics, Mathematics, Computer Science, or a STEM field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $69,300.00 to $158,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

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Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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