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Computer Science Jobs in Utah (NOW HIRING)

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Computer Science information

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$51.4K

$75.7K

$89.2K

How much do computer science jobs pay per year?

As of Sep 14, 2026, the average yearly pay for computer science in Utah is $75,660.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,600.00 and $85,100.00 per year, depending on experience, location, and employer.

What is computer science?

Computer science is the study of computers, computational systems, and how they process information. It covers a wide range of topics, including programming, algorithms, data structures, artificial intelligence, and software engineering. Computer scientists design and analyze software and hardware to solve problems and improve technology. The field is essential in many industries, from finance and healthcare to entertainment and research.

What are computer science jobs?

The computer science field provides a wide range of opportunities for technically talented individuals. Depending on your skills and interests, you can find computer science jobs as a software developer, hardware engineer, database administrator, computer systems analyst, network architect, information security analyst, or web developer. You need an analytical mind and strong technical skills to perform your job duties, which may be to develop, maintain, and troubleshoot computer systems, applications, or networks. Your responsibilities in a computer science job are often directly related to the business goals and outcomes of your employer.

What are the key skills and qualifications needed to thrive in a computer science role, and why are they important?

To thrive in a Computer Science role, you need strong programming skills, problem-solving abilities, and a degree in computer science or a related field. Familiarity with languages like Python, Java, C++, version control systems such as Git, and software development methodologies is often required. Analytical thinking, attention to detail, and effective teamwork are valuable soft skills that set candidates apart. These skills ensure you can design efficient solutions, collaborate on complex projects, and adapt to rapidly evolving technologies.

What are some common challenges computer science professionals face when working on collaborative software projects?

Computer science professionals often encounter challenges such as coordinating with team members across different disciplines, managing version control in shared codebases, and ensuring clear communication of technical concepts to non-technical stakeholders. Navigating conflicting priorities and integrating diverse components can also be demanding, especially in agile environments with tight deadlines. Strong collaboration skills, openness to feedback, and familiarity with team tools like Git and project management platforms can help address these challenges effectively.

What is the difference between Computer Science vs Software Developer?

AspectComputer ScienceSoftware Developer
Required CredentialsBachelor's or higher in CS or related fieldBachelor's in CS, Software Engineering, or related field often preferred
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, software firms, freelance projects
Industry UsageAcademic research, algorithm development, theoretical workBuilding, coding, testing software applications
Common Search/ComparisonFocuses on theoretical foundations and algorithmsFocuses on practical software creation and deployment

Computer Science and Software Developer roles often overlap, but Computer Science emphasizes theoretical foundations, algorithms, and research, while Software Developers focus on designing, coding, and maintaining software applications. Both roles require programming skills, but their primary focus and work environments differ.

Are computer science majors still in demand?

Computer science majors are currently in high demand due to the growth of technology, software development, cybersecurity, and data analysis fields. Employers seek candidates with programming skills, knowledge of algorithms, and experience with tools like Python, Java, and cloud platforms, making it a strong career choice with good job prospects.

What are careers in computer science?

Careers in computer science include roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require strong programming skills, knowledge of algorithms, and familiarity with tools like programming languages, databases, and operating systems.

What can you do with a computer science degree?

A computer science degree prepares individuals for a variety of roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. It provides skills in programming, algorithms, and systems design, often requiring knowledge of programming languages, databases, and problem-solving. Graduates can work in technology companies, finance, healthcare, or government agencies, often with opportunities for certification and ongoing learning.

What jobs can I do with computer science?

A degree in computer science opens opportunities for roles such as software developer, systems analyst, cybersecurity analyst, data scientist, and network administrator. These jobs typically require programming skills, knowledge of algorithms, and familiarity with tools like databases and operating systems.

What are the most commonly searched types of Computer Science jobs in Utah?

The most popular types of Computer Science jobs in Utah are:

What cities in Utah are hiring for Computer Science jobs?

Cities in Utah with the most Computer Science job openings:

Infographic showing various Computer Science job openings in Utah as of September 2026, with employment types broken down into 74% Full Time, 21% Part Time, and 5% Contract. Highlights an 100% In-person job distribution, with an average salary of $75,660 per year, or $36.4 per hour.

Adjunct Instrutor (Artificial Intelligence for Business)

Salt Lake City, UT • On-site

Neumont College of Computer Science
Colleges, Universities, and Professional Schools • 51 - 200 employees

Other

Posted 13 days ago


Job description

Career Opportunities with Neumont College

Adjunct Instrutor (Artificial Intelligence for Business)

As a Neumont instructor you will develop leadership and mentoring skills that will enhance your career. It can be a very rewarding experience as you see students start to understand complex subjects and gain confidence in their abilities.

Neumont University is looking to build our adjunct faculty team for our new Bachelor of Science in Artificial Intelligence for Business program.

The program combines business, technology, and applied artificial intelligence. Students learn how to use AI tools and technologies to solve business problems, automate processes, analyze data, build products and services, and identify new business opportunities.

We are looking for professionals with industry experience in one or more of the following areas:

  • Applied AI & Automation
    • Generative AI and large language models
    • AI agents and AI-enabled business solutions
    • Business process automation and workflow design
    • Low-code/no-code AI and development tools
    • Systems integration and APIs
  • Data & Technology
    • Data analytics and visualization
    • Data-driven decision-making
    • Applied machine learning
    • Databases and data modeling
    • Programming and scripting
  • Business & Management
    • Business strategy and operations
    • Finance and accounting
    • Sales, marketing, and customer success
    • Talent management and HR
    • Project management and agile methodologies
    • Technology strategy and digital transformation
    • Leading AI-augmented teams
  • Entrepreneurship and startup development
  • AI product development and product management
  • Business model design and monetization
  • SaaS, e-commerce, and digital businesses
  • Growth and customer acquisition
  • Venture capital and fundraising
  • AI Governance & Industry Applications
    • AI governance, compliance, ethics, and responsible AI
    • AI implementation within industries such as healthcare, financial services, manufacturing, retail, government, or education

TIME COMMITMENT:

  • Courses are 5 to 10 weeks long, depending on the course.
  • We make classes work around full-time work schedules as we offer AM and PM classes.
  • Adjuncts may spend up to 10 hours a week outside of class doing grading and familiarizing themselves with the curriculum. This time commitment lessens once they get the hang of teaching.

QUALIFICATIONS:

  • Bachelor’s degree or higher in Business, Business Administration, Information Systems, Computer Science, Artificial Intelligence, Data Science, Analytics, or a related field
  • At least 4 years of relevant professional experience
  • Teaching experience preferred, but not required
  • Ability to work within the U.S. without sponsorship

ADVANTAGES TO BEING A NEUMONT FACULTY MEMBER:

  • Improve the lives of students from across the nation through the power of education.
  • Opportunity to give back through educating the next generation of tech experts.
  • Experience the \
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