1

Computer Science Networking Jobs in Virginia (NOW HIRING)

Required : • University degree in computer science or electrical engineering and/or 7 years equivalent work experience. • CCNP (Cisco certified network professional) required or applicable skills ...

The Senior Computer Scientist utilizes expertise in designing, developing, and maintaining data ... network science, probability modeling, data mining, data engineering, data warehousing, data ...

The Senior Computer Scientist utilizes expertise in designing, developing, and maintaining data ... network science, probability modeling, data mining, data engineering, data warehousing, data ...

next page

Showing results 1-20

Computer Science Networking information

See Virginia salary details

$19.9K

$68.6K

$148.3K

How much do computer science networking jobs pay per year?

As of Jul 11, 2026, the average yearly pay for computer science networking in Virginia is $68,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,360.00 and $97,253.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Computer Science Networking professional, and why are they important?

To thrive in Computer Science Networking, you need a solid understanding of network protocols, troubleshooting, and network architecture, usually backed by a degree in computer science or a related field. Familiarity with tools like Wireshark, Cisco routers and switches, and certifications such as CompTIA Network+, Cisco CCNA, or similar are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication set standout professionals apart. These skills are vital for ensuring secure, efficient, and reliable network operations in complex technical environments.

How do professionals in Computer Science Networking typically collaborate with other IT teams within an organization?

Professionals in Computer Science Networking frequently work alongside system administrators, cybersecurity specialists, and software developers to ensure seamless network functionality and security. Collaboration often involves troubleshooting connectivity issues, planning network upgrades, and implementing security protocols. Regular meetings and cross-functional projects are common, requiring strong communication skills and a collaborative mindset. This teamwork is crucial in maintaining robust, efficient, and secure network infrastructures that support the broader IT and business objectives.

What is computer science networking?

Computer science networking refers to the study and practice of connecting computers and other devices to share resources, data, and applications. It encompasses the design, implementation, and management of networks such as local area networks (LANs), wide area networks (WANs), and the Internet. Professionals in this field work on protocols, security, network infrastructure, and troubleshooting to ensure efficient and secure communication. Networking is a crucial area of computer science that supports everything from web browsing to cloud computing.

What is the difference between Computer Science Networking vs Computer Science Software Development?

AspectComputer Science NetworkingComputer Science Software Development
Required CredentialsBachelor's in Computer Science, Cisco certifications (CCNA), network-specific certificationsBachelor's in Computer Science, coding bootcamps, software certifications (e.g., Java, Python)
Work EnvironmentData centers, network operations centers, enterprise networksOffice settings, remote work, software companies, startups
Employer & Industry UsageTelecommunications, IT services, large enterprisesTech companies, software firms, startups, freelance
Common Search & ComparisonYesYes

Computer Science Networking focuses on designing, managing, and securing computer networks, requiring certifications like Cisco's CCNA. In contrast, Computer Science Software Development involves creating software applications, emphasizing programming skills and software certifications. Both roles are vital in tech industries but differ in work environment and skill sets.

What are popular job titles related to Computer Science Networking jobs in Virginia? For Computer Science Networking jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Computer Science Networking jobs in Virginia look for? The top searched job categories for Computer Science Networking jobs in Virginia are:
Expert Computer Scientist (QAF Oversight & Monitoring) - OBIQUA

Expert Computer Scientist (QAF Oversight & Monitoring) - OBIQUA

CELESTAR

Reston, VA • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 3 days ago


Job description

Celestar Corporation is seeking an Expert Computer Scientist (QAF Oversight & Monitoring) to support The Defense Intelligence Agency (DIA) under the Object Based Intelligence and Quality Assurance (OBIQUA) task order. The primary place of performance will be at DIA Facilities across the National Capital Region (NCR). If interested and meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity.
ANTICIPATED AWARD: TBD
ANTICIPATED START: TBD
PERIOD OF PERFORMANCE: 1 Base Year + 4 Option Years
LOCATION: DIA Facilities across the National Capital Region (NCR)
CLEARANCE REQUIREMENT: Active TS/SCI with a Current CI Poly
About Us:
Celestar, a proud Veteran-Owned company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes company-paid employee and family dental insurance, employee health insurance, life insurance, and disability coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off.
Responsibilities:
This opportunity will support multiple DIA initiatives, including the Machine-Assisted Rapid-Repository System (MARS), Object Management Services (OMS), and Object-Based Intelligence (OBI).
• The Expert Computer Scientist (QAF Oversight & Monitoring) Employs mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and/or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.
• Develops and utilizes machine learning and data mining algorithms, including, but not limited to, Multiple Information Model Synthesis Architecture (MIMOSA) prediction algorithms based on open-source capabilities.
• Integrates or codes algorithms to support Government intelligence search and discovery missions.
• Makes best practice recommendations on managing data within hardware, software, storage, and bandwidth constraints. Employs data science techniques to support predictive analysis, social media and crowd-source data analytics, wargaming, and strategy development.
• Employs exploratory analysis and rapid iteration techniques of large volumes of data to quickly derive intelligence.
• Prepares products to describe and document findings and activities.
• Design and execute Testing, Evaluation, Verification, and Validation (TEVV) protocols to evaluate the performance, robustness, and fairness of AI systems in all source analysis contexts.
• Collaborate with the Statistician/Mathematician to develop and apply statistical models and methods to analyze TEVV results and identify areas for improvement
• Develop and implement corrective actions to address TEVV findings and ensure AI system performance and robustness.
• Develop and implement AI system maintenance schedules to ensure continued system performance and robustness.
• Collaborate with stakeholders to identify and prioritize AI system improvements and updates.
• Develop and implement AI system updates and improvements to ensure compliance with tradecraft standards and best practices.
• Conduct technical assessments to ensure compliant use of AI systems for approved use cases in all source analysis.
• Evaluate AI system performance and adherence to tradecraft standards and identify areas for improvement.
• Develop and maintain a repository of audit findings and recommendations to facilitate knowledge sharing and best practices across the organization.
• Supports capability development by contributing, editing, and storing code in Government owned/controlled source version control repositories.
Required qualifications/skills:
• Minimum 20 years of experience conducting analysis relevant to the
specific labor category with at least a portion of the experience within the last 2 years.
• Master's degree in an area related to the labor category from a college
or university accredited by an agency recognized by the U.S. Department of Education.
• Must have at least 8 years of experience in AI implementation, advanced degree in computer science, data science, or related field.
• Must have expertise in AI algorithms, model development, TEVV, and operationalization.
• Demonstrates ability to work independently and with minimal oversight.
• Active TS/SCI Clearance within the past 5 years.
• Demonstrates ability to define problems, supervise studies and lead surveys to collect and analyze data to provide advice and recommend solutions.
• Demonstrates analytic leadership and expertise in identifying, planning, developing, and executing analytic production methodologies, tradecraft and techniques aligned with labor category mission.
• Demonstrates extensive ability to provide strategic advice, technical guidance and expertise to Defense planners and policymakers.
Come on board with a company that Values its Employees!
Celestar Corporation is an Equal Opportunity Employer. The Celestar Corporation prohibits discrimination, harassment, and retaliation in employment based on race; color; religion; genetic information; national origin; sex (including same-sex); sexual orientation; gender identity; pregnancy, childbirth, or related medical conditions; age; disability or handicap; citizenship status; marital status; service member/protected veteran status; or any other category protected by federal, state, or local law.