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Remote Computer Science Jobs in Virginia (NOW HIRING)

Health IT Data Scientist

Alexandria, VA · On-site +1

$110K - $120K/yr

This is a remote position. US Citizenship is required for consideration. Ability to obtain and ... Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related discipline.

SOFTWARE DEVELOPER

Dahlgren, VA · On-site +1

$101K - $156K/yr

... remote or isolated sites. You must be able to travel on military and commercial aircraft for ... Experience as a professional scientist in computer programming principles such as object-oriented ...

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a ... Background in signal processing, image processing, or remote sensing data workflows. * Experience ...

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a closely related ... Experience with geospatial data, imagery products, or remote sensing datasets -- familiarity with ...

ENGINEER/SCIENTIST

Dahlgren, VA · On-site +1

$46K - $158K/yr

... remote or isolated sites. You must be able to travel on military and commercial aircraft for ... Computer Engineering Series, 0854 Computer Science Series, 1550 Experience refers to paid and ...

Showing results 41-60

Remote Computer Science information

See Virginia salary details

$21.9K

$83.6K

$182.3K

How much do remote computer science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for remote computer science in Virginia is $83,566.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,332.00 and $119,621.00 per year, depending on experience, location, and employer.

What are remote computer science jobs?

Remote computer science jobs include a wide variety of roles focused on the use and analysis of computers and networks, including security specialists, network administrators, and software programmers. In these roles, you may develop hardware or software, control user accounts and permissions, analyze security procedures, manage confidential information, order repairs and replacements, manage inventory levels, conduct penetration tests, or manage a full development cycle for new software. Remote computer science jobs frequently use databases, private networks, intrusion detection systems, and remote conferencing software to help coordinate jobs. This is something of a catch-all term for computer-based positions, so if you are looking for a specific role, such as a remote programmer or remote computer engineer, you may need to narrow your search terminology.

What are remote computer science jobs?

Remote computer science jobs are positions that involve the application of computer science principles—such as programming, software development, data analysis, and cybersecurity—that can be performed from any location with internet access. These roles often include software engineer, web developer, data scientist, system administrator, and more. Remote computer science professionals collaborate with teams virtually, using digital communication and project management tools. This flexibility allows employees to work from home or anywhere in the world, offering a better work-life balance and access to global job opportunities.

How do remote computer science professionals typically collaborate with their teams to ensure project success?

Remote computer science professionals usually rely on a mix of communication and project management tools—such as Slack, Zoom, GitHub, and Jira—to collaborate effectively with their teams. Regular virtual meetings, code reviews, and shared documentation help maintain alignment and transparency. While working remotely offers flexibility, it can also require proactive communication and self-management to avoid misunderstandings and stay on track with deliverables. Many teams adopt Agile methodologies to structure their work and foster collaboration, regardless of physical location.

What are the key skills and qualifications needed to thrive as a remote computer science professional?

To thrive as a Remote Computer Science professional, you need strong programming skills, problem-solving abilities, and a relevant degree or equivalent experience in computer science or software engineering. Proficiency with coding languages (such as Python, Java, or C++), version control systems like Git, and remote collaboration tools (e.g., Slack, Jira, Zoom) is essential. Excellent communication, self-motivation, and time management are vital soft skills for working independently and with distributed teams. These skills and qualities enable efficient development, seamless teamwork, and successful project delivery in a remote environment.

Can I work remotely with a computer science degree?

Yes, many computer science roles can be performed remotely, especially in software development, programming, and IT support. Remote work often requires strong technical skills, familiarity with collaboration tools, and self-discipline, and some positions may require specific certifications or experience.

What are the most commonly searched types of Computer Science jobs in Virginia?

The most popular types of Computer Science jobs in Virginia are:

What are popular job titles related to Remote Computer Science jobs in Virginia?

For Remote Computer Science jobs in Virginia, the most frequently searched job titles are:

What cities in Virginia are hiring for Remote Computer Science jobs?

Cities in Virginia with the most Remote Computer Science job openings:

Infographic showing various Remote Computer Science job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $83,566 per year, or $40.2 per hour.

Health IT Data Scientist

A-TEK Inc.

Alexandria, VA • On-site, Remote

$110K - $120K/yr

Full-time

Re-posted 19 days ago


Job description

Empower, Innovate, Impact! At Team A-TEK, we EMPOWER people to drive INNOVATION that IMPACTS mission!

A-TEK operates at the intersection of mission and innovation by applying our deep domain expertise across the federal markets. Embracing our digital-first strategy, A-TEK provides enhanced capabilities in application development, digital transformation, enterprise IT, and scientific services. Our solutions are designed to modernize, automate, secure, protect, and enhance the operations of our federal clients, ensuring they stay ahead in a rapidly evolving digital landscape.

Our work is fueled by a passion to serve our clients' needs and to protect the safety and welfare of Americans. That passion shapes how we nurture our most valuable asset – Our Employees. A-TEK actively cultivates the talent that drives our success and fosters a creative, challenging, and mission-driven work environment for current and future employees.

The Health IT Data Scientist II will develop advanced analytical models and predictive solutions that improve operational performance, support strategic planning, and enhance healthcare decision-making across DHS Health IT initiatives. This is a remote position. US Citizenship is required for consideration. Ability to obtain and retain a public trust clearance is required for consideration.

Essential Responsibilities

  • Develop predictive models and machine learning algorithms.
  • Perform statistical analyses on structured and unstructured data.
  • Identify trends, patterns, and performance indicators.
  • Develop forecasting models supporting operational planning.
  • Design data visualizations and executive dashboards.
  • Collaborate with business stakeholders to identify analytical opportunities.
  • Validate analytical models and document methodologies.
  • Support AI and advanced analytics initiatives.
  • Present analytical findings to executive leadership.
  • Stay current with emerging data science technologies and best practices.

Minimum Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related discipline.
  • Minimum seven (7) years of data science experience.
  • Experience with Python, R, SQL, and machine learning techniques.
  • Strong statistical analysis and predictive modeling skills.
  • Experience with enterprise analytics platforms.
  • Ability to obtain DHS Public Trust suitability.

Preferred Qualifications

  • Master's degree in Data Science or related discipline.
  • Experience supporting Federal healthcare programs.
  • AI/ML platform experience.
  • Experience with Power BI and Tableau.

Compensation

Expected Salary Range: $110,000–$120,000 annually. Actual compensation will be determined based on experience, qualifications, geographic location (if applicable), and final contract funding.

This position is expected to support a federal customer. Employment is contingent upon contract award and successful completion of any required background investigation or security requirements.

Candidates may use tools (including AI) for proofreading or formatting; however, using any tool to fabricate, exaggerate, or misrepresent qualifications, experience, or work product is not permitted. We may assess application materials for job-related technical depth, internal consistency, and demonstrated hands-on experience, including through follow-up questions, skills assessments, or reference checks. Verification of education may be requested before or during the hiring process.

For security and identity verification purposes, participants may be asked to temporarily disable virtual backgrounds during portions of the call.

Misrepresentation or falsification may result in removal from further consideration. Candidates who need a reasonable accommodation in the application or interview process may request one.

A-TEK, Inc. is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or status as a qualified individual with a disability, or Vietnam era or other protected Veteran status.