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Remote Computer Science Jobs in Leesburg, VA (NOW HIRING)

Ellucian Company LLC

Sr. Software Engineer

Reston, VA · Remote

$127K - $168K/yr

Drive change across the development lifecycle. 100% remote position. Requires a minimum of a Bachelor's (higher degree accepted) or its foreign equivalent in Computer Science, Software Engineering or ...

My3Tech Inc

BigData/ML Engineer

Mclean, VA · Remote

$60/hr

Bigdata/ML Engineer Remote 06+ Months End Client: Target Rate: $60/h on C2C Team would like them to ... in Computer Science or related field, or equivalent experience · 5+ years' experience in ...

Maximus

Senior Director, Secure DevOps Requisition

VA · On-site +1

$130K - $167K/yr

Master's degree (MS) in closely related field (Engineering, Computer Science). #techjobs #veteranspage #LI-Remote #HotJobs0609LI #HotJobs0609FB #HotJobs0609X #HotJobs0609TH #TrendingJobs EEO ...

asrcfh

Appian Data & Insights Analyst

Reston, VA · Remote

Remote, US Based, East Coast Working Hours ASRC Agile Decision Sciences LLC is currently seeking ... Bachelor's degree in Computer Science, Engineering, Data Science, or 4+ additional years of ...

asrcfh

Appian Data & Insights Analyst

Reston, VA · Remote

Remote, US Based, East Coast Working Hours ASRC Agile Decision Sciences LLC is currently seeking ... Bachelor's degree in Computer Science, Engineering, Data Science, or 4+ additional years of ...

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Remote Computer Science information

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.

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, and why are they important?

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 communication skills, proficiency with collaboration tools, and sometimes specific certifications or experience with remote work environments.

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.

What jobs pay $10,000 a month without a degree?

Remote computer science roles such as software developers, web developers, and cybersecurity specialists can earn $10,000 or more per month without a formal degree, often relying on strong coding skills, certifications, and experience. Freelance work, consulting, and project-based contracts in tech fields also offer high earning potential without traditional degrees.

How can I make $100,000 a year working from home?

Remote computer science professionals can reach a $100,000 annual income by gaining specialized skills in areas like software development, data science, or cybersecurity, and obtaining relevant certifications. Building a strong portfolio, gaining experience, and working for high-paying companies or freelancing can also increase earning potential while working remotely.

How to make $1000 a week remote?

Remote computer science professionals can earn $1000 or more weekly by taking on freelance projects, consulting, or working for companies that pay competitive rates. Building in-demand skills such as programming, software development, or data analysis, and using platforms like Upwork or Freelancer, can help achieve this income level. Consistent work, strong skills, and a reliable client base are key factors.
More about Remote Computer Science jobs
What are the most commonly searched types of Computer Science jobs in Leesburg, VA? The most popular types of Computer Science jobs in Leesburg, VA are:
What are popular job titles related to Remote Computer Science jobs in Leesburg, VA? For Remote Computer Science jobs in Leesburg, VA, the most frequently searched job titles are:
What job categories do people searching Remote Computer Science jobs in Leesburg, VA look for? The top searched job categories for Remote Computer Science jobs in Leesburg, VA are:
What cities near Leesburg, VA are hiring for Remote Computer Science jobs? Cities near Leesburg, VA with the most Remote Computer Science job openings:
Remote Computer Science jobs near you
Infographic showing various Remote Computer Science job openings in Leesburg, VA as of June 2026, with employment types broken down into 2% Internship, 67% Full Time, 20% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.
Principal Scientist - AI/ML Specialization - WFH1651

Principal Scientist - AI/ML Specialization - WFH1651

Global InfoTek, Inc.

Reston, VA • On-site, Remote

Full-time

Posted 21 days ago

Job description

Clearance Level:
US Citizenship: Required
Job Classification: Full Time
Location: Remote
Years of Experience: 10+ years of relevant experience
Education Level: Advanced degree (MS or PhD) in Electrical Engineering, Computer Science, Applied Mathematics, or a closely related quantitative field. Experience may be considered in place of education requirement.
Briefly Describe the Work:
GITI is seeking a Principal Scientist to serve as the senior technical authority on an R&D program focused on passive RF emitter identification and network analysis from real-time sensor data streams. The Principal Scientist leads independent, hands-on analysis of NDF (Network Description File) sensor datasets, provides technical direction across parallel research threads, and serves as the primary technical advisor to the government sponsor. The role spans the full research lifecycle: formulating hypotheses, writing and executing analytical code in Python and Jupyter notebooks, interpreting and validating results, and communicating findings to both technical peers and non-specialist stakeholders. This is a deeply technical, hands-on position - the Principal Scientist conducts analysis directly and does not delegate technical work as a substitute for personal proficiency. The candidate will work within a small, distributed team operating in air-gapped Linux environments on resource-constrained tactical edge hardware, with no cloud computing.
Responsibilities:
  • Conduct independent, hands-on data analysis on RF sensor datasets using Python and Jupyter notebooks - formulating hypotheses, writing and running analytical code, interpreting results, and producing findings that directly advance program research objectives
  • Provide technical advice and research direction across a multidisciplinary team; define analytical objectives, review and validate technical outputs from AI/ML engineers and software developers, and ensure coherence across parallel research threads
  • Serve as primary technical advisor to the government sponsor: translate operational requirements into research objectives, communicate findings clearly to non-specialist stakeholders, and maintain program alignment with sponsor priorities through written reports and technical presentations
  • Design and execute analytical investigations into RF sensor data quality, emitter behavior, and attribution reliability - including characterizing error sources, identifying systematic artifacts, and developing methods to distinguish real physical signatures from sensor or processing artifacts
  • Produce technical documentation - working notes, research findings, monthly status reports, and briefing materials - that accurately represent the scope and confidence level of analytical results

Expert-level career professional recognized as a technical authority in RF systems, signals intelligence, or a closely related applied domain. Exercises broad independent judgment in defining research approach, evaluating methods, and interpreting results. Operates with minimal supervision; accountable for the scientific integrity and practical relevance of program research outputs. Advanced degree (MS or PhD) with 10+ years of hands-on applied R&D experience.
Required Skills:
  • 10+ years of hands-on applied R&D experience in RF systems, signals intelligence, electronic warfare, or related domains.
  • Proven ability to quickly acquire domain knowledge; specifically in the areas of wireless digital communications and military techniques, tactics, and procedures
  • Demonstrated ability to independently develop and execute data analyses in Python or equivalent tools on real sensor datasets; must be capable of writing production-quality analytical code, not merely directing others to do so
  • Experience addressing common problems with large quantities of real-world data, such as imputation, noise, bias, and errors
  • Track record of working effectively on constrained-hardware edge systems - no cloud, no discrete GPU - with attention to computational efficiency and multi-core, multi-thread performance on x86 platforms

Desired Skills:
  • Deep familiarity with RF signal characteristics, sensor phenomenology, and the interpretation of passive receiver data - including recognition of processing artifacts, attribution ambiguities, and the limits of sensor-derived measurements
  • Hands-on experience applying machine learning - particularly metric learning, deep learning networks, or similarity-learning architectures - to RF or time-series signal data, including feature engineering, training pipeline development, and model validation
  • Familiarity with TDMA network protocols, emitter identification techniques (CID/PID), and the signal processing challenges of dense, contested electromagnetic environments
  • Experience with interferometric direction-finding, TDOA geolocation, or related passive geolocation methods, including practical knowledge of their failure modes and accuracy limitations
  • Experience with binary serialization formats (FlatBuffers, Protocol Buffers) and high-throughput sensor data pipelines operating in near-real-time on resource-constrained hardware
  • Background in statistical signal processing - error ellipses, bearing estimation uncertainty, feature reliability under noise - with the ability to distinguish statistically significant findings from artifacts of small sample size or improper normalization

Relevant Certifications:
  • Professional certifications in data science, signal processing, or related technical fields. Advanced academic credentials (PhD, MS) in a relevant quantitative discipline are strongly preferred and may substitute for certifications.

Global InfoTek, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability.
About Global InfoTek, Inc. Global InfoTek Inc. has an award-winning track record of designing, developing, and deploying best-of-breed technologies that address the nation's pressing cyber and advanced technology needs. GITI has rapidly merged pioneering technologies, operational effectiveness, and best business practices for over two decades.

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