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Remote Solutions Engineer Jobs in Virginia (NOW HIRING)

VMD Corp

DevOps Engineer - Secret (Remote)

Mclean, VA · Remote

$53.25 - $73/hr

Description Senior DevOps Engineer - Secret (Remote) Xcelerate Solutions is currently seeking a Senior DevOps Engineer. As a Senior DevOps Engineer, you will play a pivotal role in automating ...

CGI Inc.

Remote Support Engineer, Junior

Arlington, VA · On-site +1

Remote Support Engineer, Junior Category: Service Desk / End User Services Main location: United ... They troubleshoot problems, guide users through solutions, and ensure a positive customer ...

kgs

Middleware Engineer (REMOTE)

Chantilly, VA · Remote

Design, develop, test, and deploy custom middleware solutions, integration proxies, protocol ... Engineer custom connectors, REST and SOAP APIs, scripts, and integration libraries that facilitate ...

Koniag, Inc.

Middleware Engineer (REMOTE)

Chantilly, VA · On-site +1

Design, develop, test, and deploy custom middleware solutions, integration proxies, protocol ... Engineer custom connectors, REST and SOAP APIs, scripts, and integration libraries that facilitate ...

kgs

Middleware Engineer (REMOTE)

Chantilly, VA · Remote

Design, develop, test, and deploy custom middleware solutions, integration proxies, protocol ... Engineer custom connectors, REST and SOAP APIs, scripts, and integration libraries that facilitate ...

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Remote Solutions Engineer information

See Virginia salary details

$44.1K

$122.2K

$179.9K

How much do remote solutions engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for remote solutions engineer in Virginia is $122,226.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,600.00 and $139,300.00 per year, depending on experience, location, and employer.

What is a remote solutions engineer?

A Remote Solutions Engineer is a technical professional who helps customers understand, implement, and optimize a company's products or services, typically in a pre-sales or post-sales capacity. They work remotely to assess client needs, provide technical demonstrations, troubleshoot issues, and collaborate with sales and engineering teams. Their role often requires a mix of technical expertise, communication skills, and problem-solving abilities to ensure customer success.

What are the primary responsibilities of a remote solutions engineer on a daily basis?

A Remote Solutions Engineer typically spends their days designing technical solutions, troubleshooting client issues, and collaborating with both internal teams and clients via video calls, chat, or emails. Responsibilities often include gathering requirements, developing and implementing architectures, supporting technical pre-sales processes, and providing ongoing support and optimization for deployed solutions. Because the role is remote, strong self-management and proactive communication are essential, and most interaction happens in a virtual team environment. This allows for flexibility, but also requires a high degree of autonomy and accountability to ensure project milestones and customer satisfaction are consistently achieved.

What are the key skills and qualifications needed to thrive in the remote solutions engineer position, and why are they important?

To thrive as a Remote Solutions Engineer, you need strong technical expertise in IT systems, software development, and solutions architecture, typically backed by a degree in computer science or a related field. Experience with cloud platforms (like AWS, Azure, or Google Cloud), networking tools, and relevant certifications such as AWS Certified Solutions Architect or CompTIA Network+ are highly valued. Exceptional communication, problem-solving skills, and the ability to manage projects independently are crucial soft skills for this remote role. These competencies ensure you can effectively design, implement, and support tailored solutions for clients while collaborating with distributed teams and meeting business objectives.

What are the most commonly searched types of Solutions Engineer jobs in Virginia? The most popular types of Solutions Engineer jobs in Virginia are:
What are popular job titles related to Remote Solutions Engineer jobs in Virginia? For Remote Solutions Engineer jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Solutions Engineer jobs in Virginia look for? The top searched job categories for Remote Solutions Engineer jobs in Virginia are:
What cities in Virginia are hiring for Remote Solutions Engineer jobs? Cities in Virginia with the most Remote Solutions Engineer job openings:
Remote Solutions Engineer jobs near you
Infographic showing various Remote Solutions Engineer job openings in Virginia as of July 2026, with employment types broken down into 84% Full Time, 10% Part Time, and 6% Contract. Highlights an 76% Physical, 3% Hybrid, and 21% Remote job distribution, with an average salary of $122,226 per year, or $58.8 per hour.

Remote Sensing Engineer

Riverside Research Institute

Springfield, VA • Remote

$97K - $135K/yr

Full-time

Posted 8 days ago

Job description

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 countrys most challenging technical problems.
All Riverside Research opportunities require U.S. Citizenship.

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.


  • 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.

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.

$97,000 - $135,000 This represents the typical compensation range for this position based on experience, location and other factors.
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, veterans status or any other status legally protected by applicable federal, state, and local law.

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