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Entry Level Computer Science Graduate Jobs in Frisco, TX

GXA

Provisioning Technician (Intern)

Richardson, TX · On-site

$13.50 - $18.25/hr

A Provisioning Technician - Level 1 is an entry level position requiring minimum 1 years ... BSc/BA in Computer Science, engineering or relevant field * Excellent customer service skills

GXA

Provisioning Technician (Intern)

Richardson, TX

$13.50 - $18.25/hr

A Provisioning Technician - Level 1 is an entry level position requiring minimum 1 years ... BSc/BA in Computer Science, engineering or relevant field * Excellent customer service skills

GXA

Provisioning Technician (Intern)

Richardson, TX · On-site

$13.50 - $18.25/hr

A Provisioning Technician - Level 1 is an entry level position requiring minimum 1 years ... BSc/BA in Computer Science, engineering or relevant field * Excellent customer service skills

Prolim Global

Technology Risk Assessor

Plano, TX · On-site

... * Entry-level role; 0-3 years of experience in technology, IT risk, cybersecurity, audit, compliance, or governance. * Bachelor's degree in Information Systems, Cybersecurity, Computer Science ...

AG Technologies

JAVA Developer

Dallas, TX

$300/wk

... : Entry Level/Fresher/experience Locations : Multiple Key Skills : SQL, PL/Sql,JAVA/j2EE, C++, OOP ... Computer Science/ Computer Engineering/ Information Systems/Information Technology/ Electrical ...

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How much do entry level computer science graduate jobs pay per hour?

As of May 29, 2026, the average hourly pay for entry level computer science graduate in Frisco, TX is $15.60, according to ZipRecruiter salary data. Most workers in this role earn between $13.94 and $15.77 per hour, depending on experience, location, and employer.

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 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 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.

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.

What are popular job titles related to Entry Level Computer Science Graduate jobs in Frisco, TX? For Entry Level Computer Science Graduate jobs in Frisco, TX, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Science Graduate jobs in Frisco, TX look for? The top searched job categories for Entry Level Computer Science Graduate jobs in Frisco, TX are:
What cities near Frisco, TX are hiring for Entry Level Computer Science Graduate jobs? Cities near Frisco, TX with the most Entry Level Computer Science Graduate job openings:
Entry Level Computer Science Graduate jobs near you
Lecturer/Assistant Professor of Instruction in the Division of Data Science

Lecturer/Assistant Professor of Instruction in the Division of Data Science

The University of Texas at Arlington

Arlington, TX

Full-time

Medical, Retirement, PTO

Posted 13 days ago

University Of Texas At Arlington rating

7.3

Company rating: 7.3 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

281st of 529 rated colleges and universities

Job description

Position Information
Posting Number F00748P Position Title Lecturer/Assistant Professor of Instruction in the Division of Data Science Department Science Location Arlington Job Family Faculty Position Status Full-time Rank Non-Tenured Work Hours Standard Open to External and Internal FLSA Exempt Duration Funding expected to continue Pay Basis Monthly Benefits Eligible Yes Job Summary
The Division of Data Science in the College of Science at The University of Texas at Arlington invites applications for a full-time Lecturer/Assistant Professor of Instruction (Academic Professional Track) to support teaching and curriculum development in Python programming, machine learning, deep learning, and modern AI applications. The ideal candidate brings strong applied skills and a commitment to hands-on, project-based instruction. Experience with Generative AI, Agentic AI systems, industry experience, or teaching experience is highly desirable.
This position is expected to start September 1, 2026.
Benefits at UTA
We are proud to offer a comprehensive benefits package to all our employees at the University.
To help you understand the full value of these benefits, we have created a tool that calculates the total worth of your compensation package. This tool takes into account all of the benefits that you are eligible for, including health insurance, retirement plans, and paid time off. To access this tool and learn more about the total value of your benefits, please click on the following link:
https://resources.uta.edu/hr/services/records/compensation-tools.php
CBC Requirement
It is the policy of The University of Texas at Arlington to conduct a criminal background check on any applicant who is under final consideration for employment with the University.

This position may have access to critical infrastructure as defined by Section 113.001(2) of the Texas Business and Commerce Code. If so, to be hired for and continue to be employed in this position you must maintain the security or integrity of the infrastructure as set forth in Texas Executive Order GA-48. By assuming this position, and if you have access to critical infrastructure, you authorize the University to conduct routine background checks.
Essential Duties and Responsibilities
Essential responsibilities include teaching undergraduate and graduate courses such as Python for Data Science, Machine Learning, Deep Learning, Applied AI, and Data Mining; designing hands-on assignments and projects using real-world datasets and modern development practices; mentoring student capstone and industry-facing projects; contributing to ongoing curriculum development aligned with evolving workforce needs in AI and data science; and participating in service activities within the Division and College.
Required Qualifications
  • Ph.D. in Data Science, Computer Science, AI/ML, or a scientific field, or M.S. in such a field and significant industry experience.
  • Demonstrated capability in machine learning and deep learning such as publications or industry projects developing deep learning solutions.
  • Evidence of effective teaching, mentoring, or leadership.
Preferred Qualifications
  • Industry or applied research experience in data science or artificial intelligence.
  • Strong understanding of deep learning concepts, various network architectures, and practical model development.
  • Experience with model deployment, experimentation, or reproducible machine learning workflows.
  • Experience building or teaching modern AI applications, including generative AI (e.g., large language models, transformer-based models, diffusion models, or related approaches) and agentic AI.
  • Familiarity with LLM-based application workflows, such as prompt engineering, retrieval-augmented generation (RAG), or similar approaches.
Special Conditions for Eligibility Department Information
The Division of Data Science is an interdisciplinary unit within the College of Science dedicated to advancing education and research through data-driven approaches. The Division serves as the academic home for undergraduate and graduate programs in data science, including the B.S. in Data Science and the M.S. in Applied Statistics and Data Science, and supports continued growth in certificates and emerging programs.
Drawing on faculty expertise across multiple scientific disciplines, the Division fosters collaborative research at the intersection of data science, artificial intelligence, and domain sciences. It provides a dynamic environment for innovation in both foundational methods and real-world applications, while building strong partnerships with industry, government, and community organizations. Through its integrated approach to teaching, research, and outreach, the Division prepares students to address complex, data-intensive challenges across a wide range of fields.
University Information
The University of Texas at Arlington (UTA) is located in the heart of the Dallas-Fort Worth-Arlington metroplex, a vibrant and diverse metropolitan area that is home to over 7 million people, one of the fastest-growing tech economies in the United States, and a wide array of arts, entertainment, and cultural activities. As a comprehensive teaching, research, and public service institution, UTA is dedicated to the advancement of knowledge through scholarship and creative work. With an enrollment of more than 42,000 students, UTA is the second largest in the University of Texas System. As a result of its combination of rigorous academics and innovative research, UTA is designated as a Carnegie R-1 "Very High Research Activity" institution and nationally recognized for its commitment to student success and service. It ranks No. 5 in Military Times' "Best for Vets: Colleges" and is the top university in North Texas for its graduates' salaries (The Wall Street Journal). UTA is designated as both a Hispanic-Serving Institution and an Asian American and Native American Pacific Islander-Serving Institution and is No. 6 for undergraduate ethnic diversity in the United States (U.S. News & World Report, 2023). With a global alumni network of approximately 280,000 - including leaders at many of the 24 Fortune 500 companies headquartered in North Texas - UTA contributes an estimated $29 billion annually to the Texas economy.
UTA is expanding its regional footprint by building a regional campus, called UTA West, in Parker County on the far west side of Fort Worth. It is scheduled to open in fall 2028. This initiative aligns with the university's strategic growth and commitment to serving the broader community. Furthermore, UTA has launched the RISE 100 initiative, aiming to recruit 100 new tenure-system faculty to strengthen its research enterprise and leadership in key academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100.
This is an exciting time to join UTA and contribute to its bold vision for the future.
Working Title EEO Statement
It is the policy of The University of Texas at Arlington (UTA or The University) to provide an educational and working environment that provides equal opportunity to all members of the University community. In accordance with federal and state law, the University prohibits unlawful discrimination, including harassment, on the basis of race, color, national origin, religion, age, sex, sexual orientation, pregnancy, disability, genetic information, and/or veteran status. The University also prohibits discrimination on the basis of gender identity, and gender expression. Retaliation against persons who oppose a discriminatory practice, file a charge of discrimination, or testify for, assist in, or participate in an investigative proceeding relating to discrimination is prohibited. Constitutionally-protected expression will not be considered discrimination or harassment under this policy. It is the responsibility of all departments, employees, and students to ensure the University's compliance with this policy.
ADA Accommodations
The University of Texas at Arlington is committed to providing reasonable accommodation to individuals with disabilities. If you require reasonable accommodation in completing this application, interviewing or otherwise participating in the employee selection process, please direct your inquiries to 817-272-5554 or email ADADocs@uta.edu.
Posting Detail Information
Number of Vacancies 2 Desired Start Date 09/01/2026 Open Date 04/17/2026 Review Start Date Open Until Filled Yes Special Instructions to Applicants
To apply, applicants should go to https://apply.interfolio.com/184831 and submit the following materials:
Required Documents
  • Curriculum Vitae
  • Cover Letter
  • Contact References (provide one document with three contacts who may serve as recommenders).
Review of applications will begin immediately and will continue until the position is filled. Applicants are encouraged to apply early for the best consideration.
Questions may be addressed to Search Committee Chair, Keaton Hamm, at keaton.hamm@uta.edu.
For more information about UTA, please visit: http://www.uta.edu/uta.

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