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Computer Science Manager Jobs in Virginia (NOW HIRING)

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Computer Science Manager information

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$9

$26

$53

How much do computer science manager jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for computer science manager in Virginia is $26.12, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $32.40 per hour, depending on experience, location, and employer.

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

AspectComputer Science ManagerSoftware Development Manager
Required CredentialsBachelor's or Master's in Computer Science or related field; often certifications in project managementBachelor's or Master's in Computer Science, Software Engineering, or related field; project management certifications common
Work EnvironmentOversees technical teams, manages projects, and develops technical strategiesLeads software development teams, manages project timelines, and ensures product delivery
Employer & Industry UsageUsed across tech companies, research institutions, and IT departmentsCommon in software companies, tech startups, and enterprise IT divisions

The main difference is that a Computer Science Manager focuses on overseeing technical teams and research-driven projects, while a Software Development Manager concentrates on managing software projects and development processes. Both roles require strong technical backgrounds and leadership skills, but their focus areas differ slightly based on project scope and technical emphasis.

Which is the highest paid job in computer science?

The highest paid roles in computer science are often executive positions such as Chief Technology Officer (CTO) or Chief Information Officer (CIO), as well as specialized roles like AI Research Directors or Data Science Directors. These positions typically require extensive experience, advanced skills, and leadership responsibilities, and they can command salaries exceeding several hundred thousand dollars annually.

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 cities in Virginia are hiring for Computer Science Manager jobs?

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

Computer Science Manager jobs near you

COMPUTER SCIENTIST (ENTERPRISE ARCHITECT)

Quantico, VA • On-site

Outreach Events
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$169K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

DCSA Acquisition and Technology, National Background Investigation Services (NBIS) is seeking a Lead Software Architect to engineer enterprise-level software architectures supporting critical national security. The incumbent will drive the shift from waterfall to Agile/MVP releases, establish security controls, govern technical debt, & lead microservices initiatives using the Software Acquisition Pathway. Visit www.dcsa.mil to learn more about DCSA, America's Gatekeeper!Qualifications:This position has a Basic Requirement for the 1550: Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus. All academic degrees and course work must be from accredited or pre-accredited institutions.
*NOTE: Failure to provide transcripts will result in you being rated ineligible for this position.
The experience described in your resume will be evaluated and screened from the Office of Personnel Management's (OPMs) basic qualifications requirements. See: Computer Science Series 1550 for OPM qualification standards, competencies and specialized experience needed to perform the duties of the position as described in the MAJOR DUTIES and QUALIFICATIONS sections of this announcement by 09/02/2026
Applicant must have directly applicable experience that demonstrates the possession of the knowledge, skills, abilities and competencies necessary for immediate success in the position. Qualifying experience may have been acquired in any public or private sector job, but will clearly demonstrate past experience in the application of the particular competencies/knowledge, skills and abilities necessary to successfully perform the duties of the position.
You must have specialized experience sufficient to demonstrate that you have acquired all the competencies necessary to perform at a level equivalent in difficulty, responsibility, and complexity to the next lower grade (GG-14) in the Federal service and are prepared to take on greater responsibility.
Generally, this would include one year or more of such specialized experience.
Specialized experience for this position includes: Experience serving as an authoritative technical advisor responsible for strategic planning, engineering, and execution of complex enterprise software architectures. Experience leading multidisciplinary development teams using Agile software development methodologies following the software development lifecycle. Experience utilizing build tools (e.g., GitLab), integration patterns (e.g., API or similar tech), data architecture, data solutions implementation (e.g., Databricks), AWS cloud environments, and cybersecurity Risk Management Framework (RMF). Experience aligning emerging technologies such as Artificial Intelligence (AI) and data analytics, with organizational Responsible Artificial Intelligence (RAI) policies. Experience leading technical working groups and delivering authoritative technical briefings to executive-level internal and external stakeholders.
Specifically you will be evaluated on the following competencies:
  1. Information Technology Architecture: Knowledge of architectural methodologies used in the design and development of information systems, including the physical structure of a systems' internal operations and interactions with other systems.
  2. Requirements Analysis: Knowledge of the principles and methods to identify, analyze, specify, design, and manage functional and infrastructure requirements; includes translating functional requirements into technical requirements used for logical design or presenting alternative technologies or approaches.
  3. Software Engineering: Knowledge of software engineering design and development methodologies, paradigms, and tools; the software life cycle; software reusability; and software reliability metrics.
  4. Artificial Intelligence: Knowledge of the principles, methods, and tools used to design systems that perform human intelligence functions.
Education:Substitution of education may not be used in lieu of specialized experience for this grade level.Employment Type: OTHER

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