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Entry Level Computer Science Degree Jobs in Normal, IL

Compeer Financial

Quantitative Analyst

Bloomington, IL · On-site

Bachelor's degree in computer science, information systems, mathematics, statistics, econometrics or related field or an equivalent combination of education and experience sufficient to perform the ...

Rivian

MES Technical Support Engineer

Normal, IL · On-site

$63.30K - $79.10K/yr

Bachelors degree in Information Technology, Manufacturing, Industrial Engineering, computer. science or an equivalent work experience . * 1+ years Experience with Manufacturing IT Systems. * Familiar ...

Rivian

MES Technical Support Engineer

Normal, IL · On-site

$63.30K - $79.10K/yr

Bachelors degree in Information Technology, Manufacturing, Industrial Engineering, computer. science or an equivalent work experience . * 1+ years Experience with Manufacturing IT Systems. * Familiar ...

Compeer Financial

Quantitative Analyst

Bloomington, IL · Hybrid

Bachelor's degree in computer science, information systems, mathematics, statistics, econometrics or related field or an equivalent combination of education and experience sufficient to perform the ...

Illinois State University

Postdoctoral Scholar

Normal, IL · On-site

$65K - $70K/yr

... degree in any of the following fields: disability studies, blind/low-vision education, science ... computer for extended periods 2. Move about in various locations on and off campus as needed to ...

Illinois State University

Postdoctoral Scholar

Normal, IL · On-site

$65K - $70K/yr

... degree in any of the following fields: disability studies, blind/low-vision education, science ... computer for extended periods 2. Move about in various locations on and off campus as needed to ...

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Entry Level Computer Science Degree information

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How much do entry level computer science degree jobs pay per year?

As of May 28, 2026, the average yearly pay for entry level computer science degree in Normal, IL is $98,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $103,600.00 per year, 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 a solid understanding of programming languages (such as Python, Java, or C++), algorithms, and data structures, typically backed by a bachelor's degree in computer science or a related field. Familiarity with version control systems (like Git), basic software development tools, and potentially certifications like CompTIA IT Fundamentals or AWS Certified Cloud Practitioner is valuable. Strong problem-solving abilities, teamwork, and effective communication skills help you stand out in collaborative, fast-paced environments. These skills and qualifications are important because they enable you to contribute to technology projects efficiently, adapt to new challenges, and work effectively with diverse teams.

What types of projects or tasks can I expect to work on as an entry-level computer science graduate?

As an entry-level computer science graduate, you can expect to work on a variety of foundational tasks such as debugging code, writing and testing software modules, maintaining databases, and assisting with user support. Many teams pair new hires with experienced mentors, allowing you to learn best practices and gradually take on more complex responsibilities. You may also participate in team meetings, contribute to documentation, and collaborate with other departments like quality assurance or product management. This hands-on experience helps you build technical skills while developing a deeper understanding of the software development lifecycle.

What jobs can I get with an entry level computer science degree?

With an entry level computer science degree, you can qualify for a range of positions such as software developer, web developer, IT support specialist, data analyst, and quality assurance tester. Many entry-level roles involve programming, assisting with software development, troubleshooting technical issues, and supporting IT infrastructure. Some graduates also find opportunities in fields like cybersecurity, database management, and network administration. Your exact job prospects may depend on your coursework, internships, and technical skills. Building a portfolio and gaining practical experience through projects or internships can enhance your chances in the job market.

What can I do with a computer science degree with no experience?

Entry level computer science roles often include positions such as software developer, technical support, or QA tester, which may require only a degree and foundational skills in programming languages like Python or Java. Internships, volunteering, or personal projects can help build experience and demonstrate skills to employers. Certifications in areas like cybersecurity or cloud computing can also improve job prospects for beginners.
What job categories do people searching Entry Level Computer Science Degree jobs in Normal, IL look for? The top searched job categories for Entry Level Computer Science Degree jobs in Normal, IL are:
What cities near Normal, IL are hiring for Entry Level Computer Science Degree jobs? Cities near Normal, IL with the most Entry Level Computer Science Degree job openings:
Entry Level Computer Science Degree jobs near you
Infographic showing various Entry Level Computer Science Degree job openings in Normal, IL as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $98,026 per year, or $47.1 per hour.
Quantitative Analyst

Quantitative Analyst

Compeer Financial

Bloomington, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Empowered to live. Inspired to work.
Compeer Financial is a member-owned cooperative located in Illinois, Minnesota and Wisconsin. We bring together team members with a variety of backgrounds and experiences to help provide financial services to support agriculture and rural communities. Join us in a culture that not only promotes meaningful work and professional development, but provides a flexible, hybrid work environment and excellent benefits, which empower you to thrive both personally and professionally.
How we support you:
  • Hybrid model - up to 50% work from home
  • Flexible schedules including ample flexibility in the summer months
  • Up to 9% towards 401k (3% fixed Compeer contribution plus up to 6% match)
  • Benefits: medical, dental, vision, HSA/FSA, life & AD&D insurance, short-term and long-term disability, wellness program & EAP
  • Vacation, sick leave, holidays/floating holidays, parental leave, and volunteer paid time off
  • Learning and development programs
  • Mentorship programs
  • Cross-functional committee opportunities (i.e. Inclusion Council, emerging professional groups, etc.)
  • Professional membership/certification reimbursement and more!

Casual/seasonal & intern team members are not eligible for benefits except for state-mandated programs.
To learn more about Compeer Financial visit www.compeer.com/careers.
Where you will work:This position offers a hybrid work option up to 50% and is open to any Compeer office location in Illinois, Minnesota and Wisconsin.
The contributions you will make:
This position develops, organizes, and maintains models to support business insights and strategic decision making across the organization. Applies advanced analytic methodologies within an integrated stress-testing framework, economic capital model (credit, market and operational risk), expected credit loss model, and scenario-based forecasts, and evaluates other business-related statistical relationships. Uses quantitative methods to research modeling methodology for the development, refinement and parameter updates for risk/reward-based framework.
A typical day:
  • Examines large data sets to identify patterns, anomalies, relationships and trends. Conducts ad hoc research and analysis.
  • Utilizes analytic tools (i.e. Python, SQL), data query tools to build test, evaluate, organize and analyze large, diverse and imperfect data sets.
  • Develops data structures to support the generation of business insights and strategy and translate data findings into actionable recommendations and improvements.
  • Gathers and analyzes data from multiple internal and external sources to identify trends and predict responses.
  • Continuously evaluates industry trends for opportunities to utilize new technologies and data sources and recommend strategies to implement these enhancements in the data environment.
  • Conducts complex analytical studies with collaborative help from others, develops advanced quantitative models, and make strategic recommendations to improve performance, drive cost savings and revenue growth, and maximize profits in support of operational, risk, credit, retention, sales, and marketing effectiveness.
  • Supports the model development process for internal business clients from conceptualization through data exploration and implementation. Translating results into meaningful solutions.
  • Work with new and existing third-party vendors to implement, validate, and maintain decision models.
  • Leverages traditional quantitative approaches such as regression, decision trees, clustering, etc. as well as progressive techniques to solve business problems.
  • Conducts statistical and economic analysis to understand key drivers impacting the financial and risk position of the organization.
  • Works with model owners to conduct internal model validations following regulatory guidance and industry best practice. Documents validation processes and results.
  • Conducts back testing and validation activities and provides data analysis to support assumptions and mitigate limitations.

The skills and experience we prefer you have:
  • Bachelor's degree in computer science, information systems, mathematics, statistics, econometrics or related field or an equivalent combination of education and experience sufficient to perform the essential functions of the job.
  • Minimum of 3 years of experience in risk management modeling or advanced analytics and in-depth model development experience using econometric and statistical modeling techniques.
  • Familiarity with statistical techniques including regression analysis, decision trees, and stochastic processes.
  • Proficiency with Python highly preferred; or experience with at least one major statistical software program required.
  • Experience with data query or visualization tools preferred (i.e. SQL, Power BI).
  • Ability to communicate and explain complex quantitative modeling content to stakeholders.
  • Proven ability to work under minimal supervision and demonstrated efficiency in meeting deadlines.
  • Strong listening, written and verbal communication skills, with ability to communicate at all levels of the organization.

How we will take care of you:
Our job titles may span more than one career level (associate, senior, principal, etc.). The actual title and base pay offered is dependent upon many factors, such as: training, transferable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future. This role is eligible for variable compensation and other benefits.
Base Pay
$75,600-$114,200 USD
Compeer Financial is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.
Must be authorized to work for any employer in the United States. Compeer is unable to sponsor or take over sponsorship of an employment visa at this time.
Click here to view federal employment laws applicable for applicants.

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