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Highest Paying Computer Science Jobs in Virginia

Master's degree in computer science, engineering, or a related discipline, and 10+ years of ... highest quality service in everything we do. We strive for excellence for our clients and for each ...

Master's degree in computer science, engineering, or a related discipline, and 10+ years of ... highest quality service in everything we do. We strive for excellence for our clients and for each ...

Master's degree in computer science, engineering, or a related discipline, and 10+ years of ... highest quality service in everything we do. We strive for excellence for our clients and for each ...

.NET Developer

Mclean, VA ยท On-site

$48.75 - $64.50/hr

Bachelor of Science degree in Computer Science or Engineering or equivalent work experience. * Five ... This is a full-time position paying a base salary, full benefits, and has possible bonus potential ...

Data Scientist

Arlington, VA ยท On-site

$150 - $200/hr

Master's degree in computer science, engineering, or a related discipline, and 10+ years of ... highest quality service in everything we do. We strive for excellence for our clients and for each ...

Data Scientist

Arlington, VA ยท On-site +1

Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning, Operational ... Experience engaging clients and developing relationships at the highest levels of the Federal ...

Data Scientist

Fort Belvoir, VA ยท On-site

$150 - $200/hr

Bachelor's Degree in a STEM field (Computer Science, Mathematics, Data Engineering, etc.) * Minimum ... Highest-signal resume keywords * Active Secret Clearance * Bachelor's Degree in STEM * Proficiency ...

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Highest Paying Computer Science information

What is the highest paying computer science job?

The highest paying jobs in computer science often include roles such as software architect, machine learning engineer, data scientist, IT manager, and cloud solutions architect. These positions typically require advanced technical skills and may involve leadership responsibilities. Compensation can vary based on experience, education, industry, and geographic location, but these roles consistently offer some of the highest salaries in the tech sector. Many of these jobs also provide opportunities for growth and specialization.

What types of projects and responsibilities can I expect in the highest paying computer science roles?

In the highest paying computer science positions, such as those in machine learning, artificial intelligence, or cybersecurity, you can expect to work on complex, high-impact projects that drive business innovation or protect critical data. Typical responsibilities include designing scalable algorithms, building and optimizing large systems, and collaborating closely with cross-functional teams like data scientists, product managers, and engineers. These roles often require staying current with emerging technologies and solving challenging technical problems, making adaptability and continuous learning essential. You may also have opportunities to mentor junior staff and lead technical initiatives, which can accelerate your career growth.

What are the key skills and qualifications needed to thrive in the highest paying computer science roles, and why are they important?

To excel in the highest paying computer science roles, you typically need expertise in computer programming, systems design, and algorithm development, supported by a bachelor's or master's degree in computer science or related fields. Proficiency with advanced programming languages (like Python, Java, or C++), cloud platforms, and relevant certifications (such as AWS Certified Solutions Architect or Certified Information Systems Security Professional) is highly valued. Exceptional problem-solving abilities, strong analytical thinking, and effective collaboration skills help professionals stand out in these competitive positions. These capabilities are crucial for innovating, building robust software solutions, and driving business success in a rapidly evolving tech landscape.

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

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

What job categories do people searching Highest Paying Computer Science jobs in Virginia look for?

The top searched job categories for Highest Paying Computer Science jobs in Virginia are:

What cities in Virginia are hiring for Highest Paying Computer Science jobs?

Cities in Virginia with the most Highest Paying Computer Science job openings:

Infographic showing various Highest Paying Computer Science job openings in Virginia as of September 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution.

Public Notice - Research Computer Scientist (Direct Hire)

Hampton, VA โ€ข On-site

$90K/yr

Full-time

Posted 6 days ago


Job description

Positions to be filled are in various organizations at the following NASA Centers - Langley Research Center and Glenn Research Center. NASA may fill positions in any of the following series and at any grade level listed in this announcement (GS-1550 at the GS-12/13). These positions focus on research and development in computer science and related computational disciplines.Qualifications:In addition to the Basic Education Requirement (in the Education section below), to qualify for this position you must meet the requirements below. Specialized experience is experience that has equipped you with the particular ability, skill, and knowledge to successfully perform the duties of this position and is typically in or related to this line of work.
NASA utilizes OPM-approved qualification and rating requirements specific for Aerospace Technology (AST) positions which recognizes NASA's unique aerospace work. The specific qualifications and minimum education requirements are further described below and within the education section of the job announcement.
Vacant research positions may be filled at one of several grade levels depending upon the scientific impact of the person selected. A review may be required to determine the appropriate grade level of the position and supplemental materials may be required from the selectee. Please keep this in mind when indicating the lowest grade you will accept. If selected at the lower grade level, your scientific impact will be examined in addition to other factors, to determine if you are eligible for promotion.
To qualify for GS-12, you must have:
a) One year of directly related specialized experience equivalent to the GS-11 level:
  • Conducting complex quantitative research requiring advanced mathematical or statistical methodologies;
  • Serving as an analytical authority on moderately complex quantitative topics;
  • Collaborating with multidisciplinary analytical or scientific teams.
OR
b) Completed all requirements for a doctoral degree (i.e., Ph.D. or equivalent) in an appropriate field.
To qualify for GS-13, you must have one year of directly related specialized experience equivalent to the GS-12 level:
  • Serving as a recognized quantitative research authority for complex mathematical, statistical, or computational problems;
  • Developing advanced analytical techniques, research-grade algorithms, or mathematical models;
  • Integrating multi-source quantitative findings to support scientific or programmatic decisions.

Your resume must include a clear and detailed narrative description, in your own words, of how you meet the required specialized experience. Experience statements copied from a position description, vacancy announcement or other reference material constitutes plagiarism and may result in disqualification and losing consideration for the job.
Please visit https://www.nasa.gov/careers/how-to-apply/#Artificial-Intelligence to review NASA's guidance on the use of artificial intelligent (AI) or AI-assisted tools during the application process.
Required college majors for applicants qualifying on the basis of graduate education only (GS-12 research):
Code 735 Data: Computer Engineering. Other majors will qualify if the major includes or is supplemented as follows: a. Computer Science and Pure Mathematics are fully qualifying for Data Analysis, Modeling and Theoretical Simulation Techniques positions without further course requirements. For Data Systems, Hardware Systems and Software Systems positions, Computer Science and Pure Mathematics are qualifying if the major includes or is supplemented by 12 semester hours (or the equivalent) in appropriate Physical Science or Engineering courses and includes or is supplemented by at least two courses shown under "b.2." b. Applied Mathematics is qualifying if includes or is supplemented by at least two of the following courses: 1. For Data Analysis, Modeling and Theoretical Simulation Techniques: numerical methods (or numerical analysis); linear algebra, theory of equations, differential equations, mathematical statistics (if six semester hour course), operating systems, theory of computation, computer networks, programming languages, data structures, data base management, computer graphics, compiler construction, computer architecture, software engineering. 2. For Data Systems, Hardware Systems and Software Systems: electronics, electrical networks, solid-state physics (for transistors, tapes, etc.), optics (for simulation), electricity and magnetism, computer organization, logic design, control systems, communication theory. c. Other appropriate physical science and engineering majors are qualifying if the major includes or is supplemented by six semester hours (or the equivalent) in Mathematics beyond Basic Calculus and includes or is supplemented by at least two courses shown above under "b."
Promotion Potential: The full performance level (FPL) will vary based on the position in which the selectee is placed and does not default to the highest grade advertised.Education:This position requires education or exceptional experience
Basic Education Requirement: You must have successfully completed a bachelor's degree with a major in one of the following:
a) Engineering from a college or university that has ABET accredited engineering programs
b) Physical Science, Mathematics, Life Science or other field of Science
c) Computer Science that included 30 semester hours or 45 quarter hours of course work in any combination of mathematics, statistics and computer science with at least half of those hours in mathematics and statistics courses that included differential and integral calculus; and that provided an in-depth knowledge of theoretical and practical applications of computer science, including digital computer system architecture and system software organization, the representation and transformation of information structures, and the theoretical models for such representations and transformations.
If you did not complete a qualifying bachelor's degree, you may be eligible if you have obtained a graduate degree in an AST qualifying field, as listed above.
Applicants who do not fully meet the basic education requirement may still be considered if they possess exceptional relevant experience, or a combination of education and experience, that clearly demonstrates significant full performance-level achievement directly related to the duties of this position.
Engineering degrees earned within the United States: Engineering degrees earned within the United States must be from a college or university that has at least one ABET accredited engineering program. To find out if a school has at least one ABET accredited program, please visit http://www.abet.org.
Engineering degrees earned outside the United States: Engineering degrees earned outside the United States must be recognized by a Mutual Recognition Agreement (MRA), often known as accords. These are non-governmental agreements among organizations that accredit academic degree programs. MRAs recognize the substantial equivalence of mature accreditation systems and programs accredited by signatory organizations within their jurisdictions. For a listing of Signatories, please visit, https://www.abet.org/global-presence/mutual-recognition-agreements/is-your-program-recognized/.
Science and other related degrees earned within the United States: Science and other related degrees must have been awarded from colleges or universities that are accredited by recognized accrediting organizations. For a list of schools that meet this criteria, go to http://ope.ed.gov/accreditation/.
Science and other related degrees earned outside the United States: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs. These education credentials must be deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications/.
All degrees must have been received in the year of, or any year subsequent to the original date of accreditation.Employment Type: OTHER