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Full Time Remote Computer Science Jobs (NOW HIRING)

The Pennsylvania State University

$92K - $200K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... A degree in computer science, statistics, mathematics, or applied mathematics * Current eligibility ...

Macro Solutions

Full Stack Developer (Remote)

LA · Remote

Full Stack Developer - Full-Time (Remote) Remote - Must reside in the Southeast U.S. (Louisiana or ... Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related field ...

Golden State

Data Scientist

San Francisco, CA · Remote

$165K/yr

This is full-time remote position. Key Responsibilities * Develop, deploy and monitor predictive ... Bachelor's degree, preferably in Computer Science or related technical field, or equivalent work ...

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Full Time Remote Computer Science information

What does a full time remote computer science professional do?

A full time remote computer science job typically involves working 40 hours per week on tasks such as software development, coding, debugging, or IT support, all from a location outside of a traditional office. These roles often require strong problem-solving skills, self-motivation, and proficiency in programming languages or computer systems. Employees communicate with their teams using digital collaboration tools and manage their workflow independently. The flexibility of remote work allows professionals to balance their schedules while contributing to projects for companies located anywhere in the world.

What skills and qualifications are needed to thrive as a full time remote computer science professional?

To thrive as a Full Time Remote Computer Science professional, you need strong programming skills, a solid grasp of algorithms and data structures, and at least a bachelor’s degree in computer science or a related field. Proficiency with source control systems (like Git), cloud platforms (such as AWS or Azure), and familiarity with collaboration tools (e.g., Slack, Jira) are typically required. Excellent self-motivation, communication, and time-management skills set standout remote professionals apart. These competencies ensure productivity, effective teamwork, and the ability to deliver high-quality solutions while working independently.

What are common challenges faced by full time remote computer science professionals, and how can they be addressed?

Full-time remote computer science professionals often encounter challenges such as maintaining effective communication with team members, managing work-life balance, and staying motivated without in-person supervision. To address these, it's important to establish clear communication channels—using tools like Slack or Microsoft Teams—set regular check-ins with your team, and create a dedicated, distraction-free workspace. Additionally, setting clear boundaries between work and personal time and actively participating in virtual team meetings can help maintain productivity and a sense of connection with colleagues.
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Full Time Remote Computer Science jobs near you
Infographic showing various Full Time Remote Computer Science job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 82% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 81% Physical, 1% Hybrid, and 18% Remote job distribution.

Remote Sensing Engineer

Springfield, VA • On-site, Remote

Riverside Research Institute
See more jobs at Riverside Research Instituteexternal

$97K - $135K/yr

Full-time

Re-posted 12 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.

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