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Associate Computer Science Jobs in Homewood, IL (NOW HIRING)

5 Legal

Technology Transactions Associate

Chicago, IL

Top 50 AmLaw firm is seeking a junior to mid-level associate to join their Technology Transactions ... An undergraduate or advanced degree or work experience in computer science, electrical engineering ...

UNAVAILABLE

Associate Director, Data Science

Chicago, IL · On-site

$112 - $161/hr

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field or Master's degree preferred. * 7+ years of experience in data science ...

Posted today

Socket.dev

Associate Director, Data Science

Chicago, IL · On-site

$112 - $161/hr

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field or Master's degree preferred. * 7+ years of experience in data science ...

Posted today

Munich Re

Data Scientist

Chicago, IL · On-site +1

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of ... Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and ...

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All JobsAssociate Computer Science JobsAssociate Computer Science Jobs in Homewood, IL

Associate Computer Science information

See Homewood, IL salary details

$9

$18

$30

How much do associate computer science jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for associate computer science in Homewood, IL is $18.32, according to ZipRecruiter salary data. Most workers in this role earn between $14.57 and $19.47 per hour, depending on experience, location, and employer.

What is an associate computer science professional?

An Associate Computer Science professional typically holds an associate degree in computer science or a related field and works in entry-level positions within the tech industry. They are responsible for assisting with software development, troubleshooting, maintaining computer systems, and supporting IT teams. These professionals often work under the supervision of more experienced engineers or developers and may contribute to coding, testing, and basic technical support. The role is a great starting point for those looking to build a career in technology and can lead to more advanced opportunities with experience and further education.

What are the key skills and qualifications needed to thrive as an associate computer science professional?

To thrive as an Associate in Computer Science, you need foundational knowledge in programming, algorithms, data structures, and typically a bachelor’s degree in computer science or a related field. Familiarity with programming languages like Python, Java, or C++, experience with version control systems such as Git, and understanding of databases are commonly required. Strong analytical thinking, problem-solving skills, and the ability to collaborate effectively with others help you stand out in this role. These competencies ensure you can successfully contribute to software development projects, solve technical challenges, and support team goals in a dynamic technology environment.

What types of projects and technologies can an associate computer science professional expect to work on in their first year?

As an Associate Computer Science professional, you will often be assigned to entry-level projects such as developing or maintaining software applications, testing code, or assisting with database management. You'll likely work with common programming languages like Java, Python, or C++, and may be introduced to collaborative tools such as version control systems (e.g., Git). The team environment typically includes regular code reviews and mentorship from senior engineers, providing opportunities to learn best practices and develop your technical skills. Over time, you'll gain exposure to more complex tasks and technologies as you build your experience.

What is the difference between Associate Computer Science vs Computer Programmer?

AspectAssociate Computer ScienceComputer Programmer
Required CredentialsAssociate's degree in Computer Science or related fieldTypically a bachelor's degree or coding bootcamp certification
Work EnvironmentEntry-level, team-based projects in tech companies, startups, or IT departmentsWriting, testing, and debugging code in various programming languages
Employer & Industry UsageCommon in tech firms, government agencies, and educational institutionsWidely used across software companies, finance, and tech industries

The main difference is that an Associate Computer Science focuses on foundational knowledge and may involve broader IT tasks, while a Computer Programmer specializes in coding and software development. Both roles often require similar educational backgrounds, but their daily tasks and career paths differ.

Are associate computer science majors still in demand?

Associate computer science majors are in demand for entry-level roles such as support specialists, technicians, and junior developers, especially as organizations seek to fill positions requiring foundational programming, networking, and troubleshooting skills. However, advancing to higher-level positions often requires further education or certifications, and staying current with evolving technologies increases employability.

Is an associate's degree in computer science worth getting?

An associate's degree in computer science can provide foundational skills in programming, networking, and systems, which are valuable for entry-level roles such as support specialist or technician. While it may lead to lower starting salaries compared to a bachelor's degree, it can be a cost-effective way to enter the tech field and gain practical experience quickly.

What can I do with an associate computer science degree?

An associate computer science degree prepares individuals for entry-level roles such as computer support specialist, help desk technician, or junior programmer. It provides foundational skills in programming, networking, and troubleshooting, often enabling further certifications or education for advanced positions.

What are the most commonly searched types of Computer Science jobs in Homewood, IL?

The most popular types of Computer Science jobs in Homewood, IL are:

What cities near Homewood, IL are hiring for Associate Computer Science jobs?

Cities near Homewood, IL with the most Associate Computer Science job openings:

Associate Computer Science jobs near you
Infographic showing various Associate Computer Science job openings in Homewood, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, 2% Contract, and 1% Nights. Highlights an 75% Physical, 2% Hybrid, and 23% Remote job distribution, with an average salary of $38,096 per year, or $18.3 per hour.

Adjunct Professor of Computer Science - MPCS (Open-Rank)

The University of Chicago

Chicago, IL • On-site

Part-time

Re-posted 22 days ago

University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

162nd of 618 rated colleges and universities

Job description

Description
The Department of Computer Science at the University of Chicago is seeking qualified applicants for the position of part-time Adjunct Professor (open rank) to teach in its Masters Program in Computer Science (MPCS, https://masters.cs.uchicago.edu).
The search is open with respect to subfield, but we encourage applications from practitioners and educators in the fields of Machine Learning and Artificial Intelligence, Computer Systems. More specifically, the MPCS has specific programmatic needs in Generative AI, High-Performance Computing, and Computer Security.
Selected candidates will be appointed as Adjunct Assistant Professor, Adjunct Associate Professor, or Adjunct Professor, depending on qualifications. Adjunct faculty are appointed to an initial one-year term, with possibility of renewal to a three or five year term, and are typically expected to teach at least one course per academic year.
This position is part-time and is not benefits-eligible. Compensation is paid on a per-course basis in the teaching quarter(s). Applicants must currently be authorized to work in the U.S.
Courses are held for nine weeks during each academic quarter, with the tenth week for a final project or exam. Instruction is expected to be primarily in person, with some limited opportunities to offer remote or hybrid courses. Courses can meet in the daytime (meeting 2-3 times a week for a total of up to three hours) or in the evening (meeting once per week for up to three hours). The exact day(s)/time(s) are determined in consultation with the adjunct faculty member.
While university-level teaching experience is preferred, it is not strictly required. Successful applicants without university-level teaching experience will receive coaching and mentoring from more senior instructors before and during a new hire's first course.
Qualifications
Minimum Qualifications:
  • One of the following:
    • A doctorate in Computer Science, Data Science, or a related field at the time of appointment
    • A masters degree and 4 years of relevant professional experience.
    • A bachelor's degree and 8 years of relevant professional experience.

Preferred Qualifications:
  • Teaching experience in Computer Science, Data Science, or a related field at the undergraduate or graduate level, as either an instructor of record or a teaching assistant.
  • Work experience in a computing-related industry.

Application Instructions
Applications must be submitted online through the University of Chicago Jobs website: apply.interfolio.com/170816. Review of applications will begin on September 1, 2025 and continue until the position is filled.
The following materials are required:
  • Cover letter detailing teaching experience (if any) and interests
  • Curriculum vitae
  • A list of three references, including name, title, employer/school and email address

The following optional materials may be submitted:
  • Sample syllabus for a class the applicant has taught before, or would be interested in teaching
  • Teaching evaluations from past teaching at the university level

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