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Remote Computer Forensics Analyst Jobs in Landover, MD

Lead Vulnerability Researcher

Herndon, VA ยท Remote

$175K - $220K/yr

... analysis, penetration testing, computer forensics, information assurance, or systems engineering * Proficiency in C/C++, Python, and at least one ISA (e.g. x86/ARM/MIPS) * Proficiency in Linux ...

Senior Incident Response Consultant

Mclean, VA ยท Remote

$110K - $136K/yr

Disk and memory forensics * Network traffic analysis * Experience with EDR platforms such as ... Although this is a remote role, if you live close by, you'll have access to our office in McLean ...

Senior Incident Response Consultant

Mclean, VA ยท On-site +1

$110K - $136K/yr

Disk and memory forensics * Network traffic analysis * Experience with EDR platforms such as ... Although this is a remote role, if you live close by, you'll have access to our office in McLean ...

Our Partner provides remote and onsite advanced technical assistance, proactive hunting, rapid ... Team personnel provide front line response for digital forensics/incident response (DFIR) and ...

Senior Cryptocurrency Engineer

Washington, DC ยท On-site +1

$118K - $162K/yr

Remote status is subject to change at the customer's direction, but is expected to continue ... Develop algorithms, methods, and analytic workflows supporting seizure warrants, forensic audits ...

Senior Cryptocurrency Engineer

Washington, DC ยท Remote

$118K - $162K/yr

Remote status is subject to change at the customer's direction, but is expected to continue ... Develop algorithms, methods, and analytic workflows supporting seizure warrants, forensic audits ...

Showing results 41-60

Remote Computer Forensics Analyst information

See Landover, MD salary details

$65.1K

$101.9K

$156.4K

How much do remote computer forensics analyst jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote computer forensics analyst in Landover, MD is $101,904.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,200.00 and $122,300.00 per year, depending on experience, location, and employer.

What is a remote computer forensics analyst?

A Remote Computer Forensics Analyst is a cybersecurity professional who investigates digital evidence to uncover cybercrimes, data breaches, or unauthorized system access. Working remotely, they analyze compromised devices, recover lost or deleted data, and follow forensic protocols to maintain the integrity of evidence. These professionals often collaborate with law enforcement, businesses, or legal teams to provide investigative reports and expert testimony. Their work requires proficiency in forensic tools, cyber investigation techniques, and a strong understanding of legal procedures related to digital evidence.

What are the key skills and qualifications needed to thrive as a remote computer forensics analyst?

To excel as a Remote Computer Forensics Analyst, you need expertise in digital investigations, evidence handling, and a strong understanding of operating systems and cybersecurity principles, often supported by a relevant degree or certifications like GIAC, EnCE, or CFCE. Familiarity with forensic analysis tools such as EnCase, FTK, X-Ways, and network monitoring applications is essential. Outstanding analytical thinking, written communication, and attention to detail help professionals stand out, especially when presenting findings or collaborating with remote teams. Mastering these skills ensures accurate forensic investigations, credibility in legal settings, and effective teamwork within a distributed work environment.

What are some of the unique challenges faced by remote computer forensics analysts, and how can they be managed?

Remote Computer Forensics Analysts often encounter challenges such as securing remote access to digital evidence, coordinating across time zones, and maintaining chain-of-custody protocols without direct on-site access. To manage these issues, professionals rely on secure communication channels, advanced remote access software, and strict adherence to documentation and evidence management procedures. Building strong relationships with on-site IT staff and law enforcement partners is also key to ensuring smooth investigations. While these challenges require adaptability, they also offer opportunities to develop highly sought-after technical and collaboration skills in a flexible, remote work environment.

What cities near Landover, MD are hiring for Remote Computer Forensics Analyst jobs?

Cities near Landover, MD with the most Remote Computer Forensics Analyst job openings:

Infographic showing various Remote Computer Forensics Analyst job openings in Landover, MD as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Contract, and 1% Nights. Highlights an 73% Physical, 2% Hybrid, and 25% Remote job distribution, with an average salary of $101,904 per year, or $49 per hour.

Remote Sensing Engineer

Riverside Research Institute

Springfield, VA โ€ข On-site, Remote

$97K - $135K/yr

Full-time

Posted 22 days ago


Job description

Riverside Overview
Riverside Research is an independent National Security Nonprofit dedicated to research and development in the national interest. We provide high-end technical services, research and development, and prototype solutions to some of the country's most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.
Position Overview
We are seeking a skilled Remote Sensing Engineer to support the development, analysis, and exploitation of remote sensing data for national security, defense, and geospatial intelligence missions. The ideal candidate has experience working with geospatial datasets, remote sensing technologies, and automation tools, and is comfortable collaborating across multidisciplinary teams to solve complex technical challenges.
An active Top Secret/Sensitive Compartmented Information (TS/SCI) clearance is required for this position.
Responsibilities
  • Process, analyze, and interpret satellite, airborne, and other remotely sensed imagery.
  • Develop and maintain geospatial analysis workflows and automated processing pipelines.
  • Design and implement Python-based tools to support imagery processing, feature extraction, and geospatial analysis.
  • Perform image classification, object detection, change detection, and spatial analysis using commercial and open-source tools.
  • Support sensor calibration, validation, and quality assurance activities.
  • Work closely with engineers, data scientists, and intelligence analysts to develop mission-focused solutions.
  • Prepare technical documentation, reports, and presentations for technical and non-technical audiences.
  • Evaluate emerging remote sensing technologies and recommend improvements to existing workflows.
  • Contribute to project planning, technical discussions, and continuous process improvement initiatives.

Qualifications
Required Qualifications
  • Active TS/SCI security clearance (required).
  • Bachelor's degree in Remote Sensing, Geospatial Science, Geography, GIS, Computer Science, Engineering, Physics, Environmental Science, or a related technical discipline.
  • minimum of 5 years professional experience in remote sensing, geospatial analysis, GIS, or a related engineering field.
  • Experience processing and analyzing satellite, aerial, or other remotely sensed imagery.
  • Proficiency with remote sensing and GIS software such as ArcGIS Pro, QGIS, ENVI, ERDAS Imagine, or similar platforms.
  • Strong Python programming skills for geospatial analysis and workflow automation.
  • Experience with geospatial libraries such as GDAL, Rasterio, GeoPandas, Shapely, or OpenCV.
  • Understanding of raster and vector geospatial data formats and coordinate reference systems.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to manage multiple priorities and work independently in a remote, collaborative environment.
Preferred Qualifications
  • Experience supporting DoD, NGA, NRO, or Intelligence Community programs.
  • Experience with SAR, LiDAR, hyperspectral, multispectral, or thermal imagery.
  • Familiarity with cloud-based geospatial processing environments such as AWS or Azure.
  • Experience with machine learning or computer vision techniques applied to geospatial imagery.
  • Knowledge of containerization technologies such as Docker and modern software development practices.
  • Experience with Git and collaborative software development workflows.

Global Comp
$97,000 - $135,000 This represents the typical compensation range for this position based on experience, location and other factors.
Closing Statement
Riverside Research Institute is a not-for-profit, technology-oriented defense company, where service to our customers and support of our staff is our overall mission. Riverside is an affirmative action-equal opportunity employer and complies with all applicable federal, state, and local laws regarding recruitment and hiring. Riverside offers comprehensive compensation and benefit packages to our employees.
Riverside bases its employment decisions solely on technical experience, qualifications and other job-related criteria related to our organizational purpose as a not-for-profit company, and without regard to race, color, religion, age, sex marital status, sexual orientation, national origin, physical or mental disability, veteran's status or any other status legally protected by applicable federal, state, and local law.