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Entry Level Computer Science Jobs in Kenosha, WI

Overview We are looking for an Entry-Level Support Engineer with 2-3 years of experience to support ... Bachelor's degree in computer science, Information Systems, or related field (or equivalent ...

Overview We are looking for an Entry-Level Support Engineer with 2-3 years of experience to support ... Bachelor's degree in computer science, Information Systems, or related field (or equivalent ...

We are looking for an Entry-Level Support Engineer with 2-3 years of experience to support and ... Bachelor's degree in computer science, Information Systems, or related field (or equivalent ...

Overview We are looking for an Entry-Level Support Engineer with 2-3 years of experience to support ... Bachelor's degree in computer science, Information Systems, or related field (or equivalent ...

IT Intern

Lake Forest, IL

$15 - $20.76/hr

  • Retirement

  • PTO

... in Computer Science, Information Technology, Information Systems, or a related field Strong ... Use this opportunity as a strong entry-level steppingstone for a future career in IT. Hours and Pay ...

IT Intern

Lake Forest, IL · On-site

$15 - $20.76/hr

  • Retirement

  • PTO

Currently pursuing or recently completed a degree in Computer Science, Information Technology ... Use this opportunity as a strong entry-level steppingstone for a future career in IT. Hours and Pay ...

Entry Level Computer Science information

See Kenosha, WI salary details

$20.3K

$45.5K

$91.1K

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

As of Aug 19, 2026, the average yearly pay for entry level computer science in Kenosha, WI is $45,513.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,174.00 and $51,974.00 per year, depending on experience, location, and employer.

What are entry level computer science jobs?

Entry-level computer science jobs include positions that involve programming, software and app development, database administration, and the engineering of software and computer systems. You can also provide technical support, develop specialized programs for mobile phones or embedded computer systems, and work in areas such as cloud computing and machine learning. Entry-level computer science professionals typically operate as part of software development or IT teams, or they report to senior personnel and submit their work for testing and approval. Your duties and responsibilities often focus on developing, testing, or engineering a specific part of a computer-related project.

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

To thrive as an Entry Level Computer Science professional, you need a solid understanding of programming languages (such as Python, Java, or C++), algorithms, and data structures, typically supported 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 can be beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate and adapt to new challenges. These skills are crucial for efficiently developing, testing, and maintaining software solutions in a team-oriented and rapidly evolving technical environment.

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

As an entry level computer science professional, you will typically work on tasks such as debugging code, writing simple programs or scripts, assisting with software testing, and supporting senior developers with larger projects. You may also be responsible for maintaining documentation, collaborating with team members during code reviews, and learning new technologies as needed. These experiences help you build a strong foundation and gain practical skills, setting the stage for more complex responsibilities and career advancement in the future.

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

AspectEntry Level Computer ScienceSoftware Developer
Required CredentialsBachelor's in CS or related fieldBachelor's in CS or related field; coding bootcamps
Work EnvironmentTech companies, startups, IT departmentsTech firms, software companies, startups
Employer & Industry UsageEntry-level roles in various industriesDeveloping software applications across industries
Common Search & ComparisonYesYes

Entry Level Computer Science roles typically focus on foundational knowledge and may involve a variety of IT tasks, while Software Developer positions emphasize designing, coding, and maintaining software applications. Both roles often require similar educational backgrounds, but Software Developers usually have more specialized coding skills and project responsibilities.

What are the most commonly searched types of Computer Science jobs in Kenosha, WI?

The most popular types of Computer Science jobs in Kenosha, WI are:

What cities near Kenosha, WI are hiring for Entry Level Computer Science jobs?

Cities near Kenosha, WI with the most Entry Level Computer Science job openings:

Infographic showing various Entry Level Computer Science job openings in Kenosha, WI as of August 2026, with employment types broken down into 10% Internship, 56% Full Time, 23% Part Time, 5% Temporary, and 6% Contract. Highlights an 93% In-person, and 7% Remote job distribution, with an average salary of $45,513 per year, or $21.9 per hour.

Other

Posted 4 days ago


Job description

Overview
We are looking for an Entry-Level Support Engineer with 2-3 years of experience to support and troubleshoot modern web applications built on an Azure and SQL-based stack. This role is ideal for someone who enjoys digging into application issues, working with data, and exploring emerging tools like AI agents to improve support operations.
Responsibilities
  • Troubleshoot and resolve issues across web applications, APIs, and backend services
  • Analyze application behavior using logs, SQL queries, and Azure monitoring tools (e.g., Application Insights, Elastic Log Analytics)
  • Manage and prioritize support queues based on severity, impact, and SLAs
  • Investigate data issues using SQL (joins, filtering, aggregations) to identify root causes
  • Collaborate with product managers, business analysts, and developers to clearly define bugs and expected behavior
  • Document issues and translate findings into well-structured bug reports, user stories, or functional specs
  • Assist in validating bug fixes and supporting release testing
  • Contribute knowledge base articles and support playbooks
  • Explore and assist in implementing AI-driven support workflows (e.g., chatbot triage, auto-classification, or response suggestions)

Qualifications
  • Bachelor's degree in computer science, Information Systems, or related field (or equivalent practical experience)
  • Strong foundational SQL skills (queries, joins, basic performance awareness)
  • Understanding of web application architecture (frontend, backend, APIs)
  • Familiarity with Azure ecosystem (App Services, Azure SQL, monitoring tools)
  • Ability to troubleshoot issues using logs, error messages, and system behavior
  • Strong analytical and problem-solving skills
  • Ability to manage multiple tasks in a queue-driven support environment
  • Clear communication skills for both technical and non-technical audiences

Preferred Qualifications
  • Exposure to JavaScript-based web applications or REST APIs
  • Experience with tools like Azure Application Insights, Log Analytics, or similar observability platforms
  • Familiarity with ticketing systems (Jira)
  • Basic understanding of Agile, product management, or business analysis practices
  • Exposure to AI tools or LLM-based support agents (e.g., chatbot workflows, prompt tuning, or automation tools like n8n)
  • Experience writing bug reports, acceptance criteria, or functional specifications

Key Competencies
  • Structured problem-solving and root cause analysis
  • Ability to translate issues into actionable technical and functional requirements
  • Ownership mindset with attention to detail
  • Curiosity and willingness to experiment with AI-driven support improvements
  • Strong collaboration across engineering, product, and support teams