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Remote Aws Jobs in Reston, VA (NOW HIRING)

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Remote Aws information

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How much do remote aws jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for remote aws in Reston, VA is $56.23, according to ZipRecruiter salary data. Most workers in this role earn between $40.24 and $67.02 per hour, depending on experience, location, and employer.

What are the qualifications to get a remote AWS job?

The qualifications you need differ based on your career choice. In many cases, a technology-related bachelor’s degree is necessary. You should pursue coursework and training that grants skills and experience with specific scripting language types, such as Ruby, Shell, Python, and Perl. Knowledge of monitoring tools, coding, and similar technology skills can also be helpful. For some positions, having a related certification may help you to stand out above the other applicants for a specific job.

What are some common challenges faced by remote AWS engineers, and how can they be addressed?

Remote AWS engineers often encounter challenges such as maintaining clear communication with geographically dispersed teams and managing cloud infrastructure securely from afar. To address these issues, it's important to use collaboration tools like Slack or Microsoft Teams, adhere to robust version control and documentation practices, and follow AWS security best practices such as using IAM roles and multi-factor authentication. Regular virtual meetings and clear project management protocols also help ensure everyone stays aligned and productive.

What is the difference between Remote Aws vs Remote Cloud Engineer?

AspectRemote AwsRemote Cloud Engineer
CertificationsAWS Certified Solutions Architect, AWS Certified DeveloperAWS certifications, Azure, Google Cloud certifications
Work EnvironmentPrimarily cloud-based, AWS platform focusMulti-cloud or cloud-agnostic, various cloud platforms
Industry UsageTech, finance, healthcare, retailTech, finance, healthcare, retail
Job FocusDesigning, deploying, managing AWS infrastructureDesigning, deploying, managing cloud solutions across platforms

Remote Aws roles focus specifically on AWS cloud services, infrastructure, and certifications. Remote Cloud Engineer positions often require knowledge of multiple cloud platforms and broader cloud architecture skills. While both roles work remotely and in similar industries, Remote Aws specialists concentrate on AWS-specific tasks, whereas Remote Cloud Engineers handle multi-cloud environments.

Are remote AWS jobs still in demand?

Remote AWS jobs remain in high demand due to the widespread adoption of cloud computing and the need for cloud infrastructure management. Skills in AWS services, certifications like AWS Certified Solutions Architect, and experience with automation tools increase employability in this field.
What are the most commonly searched types of Aws jobs in Reston, VA? The most popular types of Aws jobs in Reston, VA are:
What job categories do people searching Remote Aws jobs in Reston, VA look for? The top searched job categories for Remote Aws jobs in Reston, VA are:
What cities near Reston, VA are hiring for Remote Aws jobs? Cities near Reston, VA with the most Remote Aws job openings:
Infographic showing various Remote Aws job openings in Reston, VA as of August 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $116,959 per year, or $56.2 per hour.

Remote Sensing Engineer

Riverside Research Institute

Springfield, VA • On-site, Remote

$97K - $135K/yr

Full-time

Posted 9 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.