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Internship Computer Programmer Internship Jobs in Barrington, IL

Interns work on real pipelines and real datasets serving the auto-insurance industry and internal ... A strong interest in computer science and/or related fields is essential to the success of each ...

Please note that this is an unpaid internship. As Design Intern for Hasana, Inc. you will have a ... Strong computer skills, PC with experience in Windows NT, Excel, PowerPoint and other applicable ...

Please note that these unpaid internships are located in the Chicago Loop. Responsibilities include ... Develop CAD drawings for new style and color presentations for the Hasana, Inc. Brand. Assist in ...

Please note that these unpaid internships are located in the Chicago Loop. Responsibilities include ... Develop CAD drawings for new style and color presentations for the Hasana, Inc. Brand. Assist in ...

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Internship Computer Programmer Internship information

See Barrington, IL salary details

$8

$15

$21

How much do internship computer programmer internship jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for internship computer programmer internship in Barrington, IL is $15.46, according to ZipRecruiter salary data. Most workers in this role earn between $12.45 and $17.45 per hour, depending on experience, location, and employer.

What is the difference between Internship Computer Programmer Internship vs Software Developer Intern?

AspectInternship Computer Programmer InternshipSoftware Developer Intern
Required CredentialsBasic programming knowledge, coursework in computer scienceSimilar credentials, often pursuing CS or related degrees
Work EnvironmentTech companies, software firms, or IT departmentsTech startups, software companies, or corporate IT teams
Employer & Industry UsageCommonly used in tech and software industries for entry-level rolesOften used interchangeably, with a focus on software development projects

Both Internship Computer Programmer Internships and Software Developer Internships target students or entry-level candidates with basic programming skills. They typically occur in similar environments like tech companies or software firms. The main difference lies in terminology, with 'Programmer' emphasizing coding tasks and 'Developer' encompassing broader software development responsibilities. Both roles serve as valuable stepping stones into the tech industry.

Data Science Engineer Internship

Cccis

Chicago, IL • On-site

$20 - $43/hr

Part-time

Medical, Retirement, PTO

Posted 8 days ago


Job description

Pay Rate/Hourly Range:
  • The hourly range is $20.00 - $43.00 per hour.

  • Pay is based on factors including school year, program of study, role responsibilities, etc.

CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy, creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we're making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly.We're pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey.Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com.


The RoleOur program is designed to #CCCJumpstart your career! At CCC, you will work and learn alongside innovative and inspiring leaders and gain valuable technical experience while working on real business solutions in a corporate setting.


Key Responsibilities:

You'll join the Data Engineering team that builds the data and AI foundation for the company: the curated, governed, well-modeled data that powers analytics, machine learning, and generative AI across CCC. Interns work on real pipelines and real datasets serving the auto-insurance industry and internal teams.

Technology:

  • Databricks (Delta Lake, Unity Catalog, workflows)
  • PySpark / Spark
  • AWS (S3, EMR, Glue, Athena, Lambda)
  • Python and SQL
  • Apache Airflow
  • Data governance and data quality

What you'll do:

  • Build end-to-end pipelines that turn raw data into fully curated, enhanced datasets ready for analytics and model training.
  • Work with data across all three shapes: structured(relational databases, transactional tables), semi-structured(JSON, XML, compressed/zipped files), and unstructured(claim photos, estimate PDFs, repair notes, audio, and video).
  • Produce reusable data building blocks, data models, and data flows for varying client demands - dimensional models, data feeds, dashboard reporting, and data science research and exploration.
  • Develop and optimize Spark jobs on Databricks, including Delta Lake tables and incremental and batch processing patterns.
  • Apply data governance practices using Unity Catalog and AWS Glue Data Catalog: cataloging and lineage, access controls, PII handling, schema management, and data quality validation.
  • Use Apache Airflow to build DAGs that handle cross-DAG dependencies, orchestrate concurrent pipelines, monitor tasks, and alert when SLAs are not met.
  • Partner with data scientists and ML engineers to make datasets model-ready, including preparing multimodal data for AI and computer vision use cases.

Technical environment:Python and Spark; Databricks, Delta Lake, and Unity Catalog; AWS ecosystem (S3, EMR, Glue, Athena); Airflow for scheduling and monitoring of big data ETL pipelines; SQL for data profiling and validation; Unix commands and scripting; distributed computing and lakehouse fundamentals; Generative AI, and Agentic AI fundamentals.


Requirements:

In order tobe considered for this role youare required tobe in pursuit of an Associate, Bachelor'sorMaster'sthroughout your internship.

We are looking for candidates who offer strong collaborative skills and work well with a team. A strong interest in computer science and/or related fields is essential to the success of each intern.

If you have knowledge, through coursework or project work, of Python, Machine Learning, or Statistics/ Modeling, this opportunity is right for you.


Interview Policy & Privacy Notice:

A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE.


About CCC's Commitment to Employees:

CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most.

At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC's success.

CCC offers competitive compensation and benefits to support you and your families, including:

  • 401K Match

  • Paid time off

  • Annual Incentive Plan Performance Bonus

  • Comprehensive health insurance

  • Adoption Assistance

  • Tuition Reimbursement

  • Wellness Programs

  • Stock Purchase Plan options

  • Employee Resource Groups

For more information about our benefits, please check out our careers site.

Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here

If you require reasonable accommodation to complete a job application, please contact (800) 621-8070.