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Entry Level Computer Science Graduate Jobs in Washington

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Entry Level Computer Science Graduate information

What is the difference between Entry Level Computer Science Graduate vs Software Developer?

AspectEntry Level Computer Science GraduateSoftware Developer
Required CredentialsBachelor's in Computer Science or related fieldBachelor's in Computer Science or related field; coding skills
Work EnvironmentInternships, entry-level roles, training programsDevelopment teams, tech companies, startups
Employer & Industry UsageUniversities, tech firms, government agenciesSoftware companies, IT departments, tech startups
Common Search/ComparisonYesYes

Entry Level Computer Science Graduates typically possess foundational knowledge and may be in internships or entry roles, focusing on learning and skill development. Software Developers build on this foundation, actively creating and maintaining software applications in professional environments. While both roles require similar educational backgrounds, Software Developers usually have more practical coding experience and responsibilities.

How to get a CS job with no experience?

Entry level computer science jobs often accept candidates with strong foundational skills in programming languages like Python or Java, even without professional experience. Building a portfolio through personal projects, internships, or contributing to open-source can demonstrate your abilities. Earning relevant certifications or completing coding bootcamps can also improve your chances of securing an entry-level position.

What types of projects or tasks can an entry level computer science graduate expect to work on during their first year?

As an entry level computer science graduate, you can expect to work on a variety of tasks such as debugging software, writing code for smaller features, assisting with testing and quality assurance, and supporting senior developers on larger projects. You may also participate in code reviews, maintain documentation, and collaborate closely with team members from development, QA, and product management. These responsibilities are designed to help you build technical proficiency, familiarize yourself with company tools and processes, and gain experience working in a professional software development environment.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Science Graduate, and why are they important?

To thrive as an Entry Level Computer Science Graduate, you need foundational knowledge in programming languages (such as Python, Java, or C++), algorithms, and data structures, supported by a bachelor's degree in computer science or a related field. Familiarity with version control systems like Git, basic database management, and exposure to development tools or cloud platforms is often expected. Strong problem-solving abilities, teamwork, and effective communication skills help you collaborate and adapt within dynamic environments. These skills and qualities enable you to efficiently contribute to software projects, learn new technologies quickly, and work productively within engineering teams.

What jobs can you land as a new grad with a computer science degree?

Entry-level computer science graduates can pursue roles such as software developer, web developer, quality assurance tester, technical support specialist, or data analyst. These positions typically require knowledge of programming languages like Java, Python, or C++, and may involve working with tools like Git or SQL in team environments. Starting salaries vary by location and industry, but these roles often offer opportunities for skill development and career growth.

What professions make $200,000 a year without a degree?

Entry-level computer science graduates typically do not earn $200,000 annually without additional experience or advanced skills. High-paying tech roles such as software engineers, data scientists, or cybersecurity specialists often require several years of experience, specialized certifications, or advanced training beyond an entry-level position. Some self-employed professionals or entrepreneurs in tech-related fields can reach this income level without a degree, but it is uncommon at the start of a career.

What are entry level computer science graduates?

Entry level computer science graduates are individuals who have recently completed a degree in computer science and are beginning their professional careers. They typically possess foundational knowledge in programming, algorithms, data structures, and software development. These graduates often seek positions such as junior software developer, IT support specialist, or QA tester. Employers look for candidates who can demonstrate problem-solving skills, a willingness to learn, and the ability to work effectively in a team.

How to make 10,000 a month with no degree?

Entry level computer science graduates can increase earning potential by developing in-demand skills such as programming, cybersecurity, or data analysis, and gaining certifications like CompTIA or Cisco. Freelancing, remote work, or starting a tech-related business can also help reach higher income levels without a degree, but consistent effort and skill development are essential.
What are the most commonly searched types of Computer Science Graduate jobs in Washington? The most popular types of Computer Science Graduate jobs in Washington are:
What are popular job titles related to Entry Level Computer Science Graduate jobs in Washington? For Entry Level Computer Science Graduate jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Graduate jobs in Washington look for? The top searched job categories for Entry Level Computer Science Graduate jobs in Washington are:
What cities in Washington are hiring for Entry Level Computer Science Graduate jobs? Cities in Washington with the most Entry Level Computer Science Graduate job openings:
Entry Level Computer Science Graduate jobs near you
Infographic showing various Entry Level Computer Science Graduate job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution.
2026 PhD Graduate - Statistics and Data Science

2026 PhD Graduate - Statistics and Data Science

Johns Hopkins Applied Physics Laboratory

Laurel, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 25 days ago

Johns Hopkins Applied Physics Laboratory rating

9.9

Company rating: 9.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

1st of 58 rated research

Job description

Description
Do you enjoy exploring and analyzing data to find data-driven solution to complex problems?
Do you want to contribute to work that is crucial to maintaining our national security and strength?
Are you continuously searching for new ways to grow your knowledge and improve your skills?
If you are graduating with a PhD in Statistics, Physics, Mathematics, Computer Science, or a related field, we would love to have you join our team! We are seeking a new PhD graduate with expertise in statistics to support multi-disciplinary teams performing a variety of quantitative tasks for defense and national security applications. You will be joining a varied team of engineers, software developers, statisticians, data scientists, and analysts who are committed to advancing the state-of-the-art in performance evaluation of the nation's strategic weapons systems throughout their lifecycle. We believe in continually growing our capabilities and cultivating a work environment that embraces innovation, integrity, trust, and teamwork.
As a member of our team, you will...
  • Work with multi-disciplinary teams to support development of data collection, processing, and analysis efforts to assess the performance of a number of systems supporting the Navy and Air Force.
  • Develop and evaluate statistical models for complex defense applications, including uncertainty quantification, inference, forecasting, and decision support.
  • Apply statistical reasoning for data-driven studies, selecting appropriate methods (e.g., Bayesian or frequentist approaches) based on the problem.
  • Quantify and communicate uncertainty, assumptions, and limitations to support sound decision-making in complex, real-world setting.
  • Use internal funding opportunities to shape the direction of future research.
  • Communicate technical knowledge by articulating ideas clearly through papers and presentations to technical staff, management, and government decision makers.

Qualifications
You meet our minimum qualifications for the job if you...
  • Have a PhD in Data Science, Statistics, Physics, Mathematics, Computer Science or a related field.
  • Demonstrate strong interpersonal skills and the ability to work independently and on a team.
  • Have strong foundations in statistical inference, probability, statistical modeling, and experimental design.
  • Have experience using scientific programming tools such as Python, R, or similar languages for quantitative analysis.
  • Have experience investigating and adapting modern statistical and computational methods to address emerging analysis challenges in sparse, noisy, or high-dimensional data setting.
  • Demonstrate experience with statistical modeling, inference, or experimental design approaches such as Bayesian methods, regression, causal inference, or hypothesis testing...
  • Are able to obtain Interim Secret level security clearance by your start date and can ultimately obtain Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You will go above and beyond our minimum requirements if you...
  • Have experience in project management or leading technical teams.
  • Have experience in writing technical proposals, particularly to government research projects.
  • Have experience mentoring students, teaching, or communicating complex technical concepts in academic, research, or professional settings.
  • Have contributed to peer-reviewed publications, technical reports, or presentations in statistics, machine learning, applied mathematics, or related fields.
  • Have experience using probabilistic programming frameworks such as Stan, PyMC, or similar tools.
  • Have research or professional experience developing reproducible analytical workflows, computational research tools, or statistical methodologies for complex quantitative problems.

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$105,000 Annually
Maximum Rate
$245,000 Annually

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