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Computer Science Networking Jobs in Virginia (NOW HIRING)

Senior Computer Scientist

Herndon, VA · On-site

$112K - $179K/yr

Computer Science specific: * Employ mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data ...

Senior Computer Scientist

Herndon, VA · On-site

$112K - $179K/yr

Computer Science specific: * Employ mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data ...

Computer Science specific: * Employ mathematics, statics, information science, artificial intelligence, machine learning, network science, probability modeling, data mining, data engineering, data ...

Computer software engineers apply the principles and techniques of computer science, engineering ... network distribution, and compilers, which convert programs for execution on a computer. They also ...

Mid Computer Engineer

Chesapeake, VA · On-site

$108.30K - $127.70K/yr

Computer software engineers apply the principles and techniques of computer science, engineering ... network distribution, and compilers, which convert programs for execution on a computer. * They ...

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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 May 30, 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.

Are 85% of jobs filled through networking?

Networking is a common method for securing jobs in computer science and related fields, with estimates suggesting that around 70-85% of jobs are filled through professional connections and referrals. Building a strong network can improve job prospects, especially in competitive areas like networking and cybersecurity, where industry contacts often lead to opportunities. However, the exact percentage varies by industry and role, and applying through job boards and company websites remains important.

What jobs make $3,000 a month without a degree?

In computer science networking, roles such as network support specialists, help desk technicians, or entry-level network administrators can sometimes earn around $3,000 per month without a degree, especially with relevant certifications like CompTIA Network+ or Cisco CCNA. These jobs typically require technical skills, problem-solving ability, and familiarity with networking tools and protocols, often gained through self-study or vocational training.

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:
Infographic showing various Computer Science Networking job openings in Virginia as of May 2026, with employment types broken down into 58% Full Time, 35% Part Time, 2% Temporary, and 5% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $68,596 per year, or $33 per hour.
Expert Computer Scientist (QAF Accreditation) - OBIQUA

Expert Computer Scientist (QAF Accreditation) - OBIQUA

CELESTAR

Reston, VA • On-site

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 21 days ago


Job description

Celestar Corporation is seeking an Expert Computer Scientist (QAF Accreditation) 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, Quality Assurance Framework (QAF), 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.
• Review and evaluate QAF documentation submitted by Advanced Analytic (AA) owners to ensure compliance with tradecraft standards and adherence to best practices in AI system development and deployment
• Assess QAF documentation for completeness, accuracy, and thoroughness, and provide detailed feedback to AA owners and developers
• Assist in maintaining a repository of QAF documentation to facilitate knowledge sharing and best practices across the organization
• Provide consultation and guidance to AA owners, developers, and stakeholders on the QAF process, including best practices for AI system development, testing, and deployment
• Collaborate with AA owners and developers to identify and address potential issues or gaps in QAF documentation
• Develop and deliver training materials and workshops to educate AA owners, developers, and stakeholders on the QAF process and its application in AI system development
• Assist analytic methodologists and AA owners in translating technical documentation into analytic tradecraft compliant language
• Collaborate with stakeholders to develop, implement, and refine best practices for translating technical documentation into tradecraft compliant language
• Review and edit translated documentation to ensure accuracy, completeness, and adherence to tradecraft standards
• 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.