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Data Engineer Intern Jobs in Naperville, IL (NOW HIRING)

Hendrickson USA, LLC

AI Intern

Woodridge, IL · On-site

The Artificial Intelligence (AI) IT Intern assists with the design, development, and deployment of ... Programming Interface (API) development, cloud deployment, and enterprise data integration.

Hendrickson USA, LLC

Engineering Intern

Woodridge, IL · On-site

$16.50 - $21.50/hr

The Engineering Intern role with the Advanced Technology Group (ATG) offers students an incredible ... Completing data collection and root cause analysis (RCA) of field and development systems.

IMC

Software Engineer Intern - Summer 2027

Chicago, IL · On-site

$200K/yr

Strong knowledge of algorithms and data structures is required * Must have proficient experience in a programming language (Java or C++ preferred) * Strong analytical skills and interest in solving ...

IMC

Software Engineer Intern - Summer 2027

Chicago, IL

$200K/yr

Strong knowledge of algorithms and data structures is required * Must have proficient experience in a programming language (Java or C++ preferred) * Strong analytical skills and interest in solving ...

IMC

Software Engineer Intern - Summer 2027

Chicago, IL · On-site

$200K/yr

Strong knowledge of algorithms and data structures is required * Must have proficient experience in a programming language (Java or C++ preferred) * Strong analytical skills and interest in solving ...

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All JobsData Engineer Intern JobsData Engineer Intern Jobs in Naperville, IL

Data Engineer Intern information

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How much do data engineer intern jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data engineer intern in Naperville, IL is $25.38, according to ZipRecruiter salary data. Most workers in this role earn between $20.62 and $28.80 per hour, depending on experience, location, and employer.

What is the difference between Data Engineer Intern vs Data Analyst Intern?

AspectData Engineer InternData Analyst Intern
Required SkillsSQL, Python, ETL, data pipeline developmentExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting tools
Industry UsageTech, finance, healthcareRetail, marketing, finance

Data Engineer Interns focus on building and maintaining data pipelines and infrastructure, requiring programming and database skills. Data Analyst Interns analyze data to generate insights, emphasizing visualization and reporting. Both roles are common in data-driven industries but serve different functions within organizations.

What are the key skills and qualifications needed to thrive as a Data Engineer Intern?

To thrive as a Data Engineer Intern, you typically need a solid understanding of programming languages like Python or Java, introductory experience with data structures, and familiarity with databases, often supported by coursework in computer science or related fields. Familiarity with tools such as SQL, cloud platforms (e.g., AWS or Azure), and data pipeline frameworks like Apache Spark or Airflow is common and highly valued. Strong problem-solving abilities, attention to detail, and effective communication help interns collaborate and learn quickly in team environments. These skills and traits are crucial for building, maintaining, and optimizing data systems that support reliable analysis and business insights.

What does a Data Engineer Intern do?

A Data Engineer Intern supports the design, development, and maintenance of data pipelines and databases within an organization. They assist in collecting, cleaning, and organizing raw data, ensuring it is accessible and usable for data analysts and scientists. Interns may work with various tools and programming languages such as SQL, Python, and cloud platforms to help manage large datasets. Their responsibilities often include troubleshooting data issues, optimizing data workflows, and learning best practices in data engineering. This role provides hands-on experience in data infrastructure and is an excellent starting point for a career in data engineering.
What are the most commonly searched types of Data Engineer jobs in Naperville, IL? The most popular types of Data Engineer jobs in Naperville, IL are:
What are popular job titles related to Data Engineer Intern jobs in Naperville, IL? For Data Engineer Intern jobs in Naperville, IL, the most frequently searched job titles are:
What job categories do people searching Data Engineer Intern jobs in Naperville, IL look for? The top searched job categories for Data Engineer Intern jobs in Naperville, IL are:
What cities near Naperville, IL are hiring for Data Engineer Intern jobs? Cities near Naperville, IL with the most Data Engineer Intern job openings:
Data Engineer Intern jobs near you
Infographic showing various Data Engineer Intern job openings in Naperville, IL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $52,788 per year, or $25.4 per hour.

AI Intern

Hendrickson USA, LLC

Woodridge, IL • On-site

Full-time

Re-posted 14 hours ago

Hendrickson rating

7.2

Company rating: 7.2 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

319th of 487 rated machine equipment manufacturers

Job description

Position Purpose:
The Artificial Intelligence (AI) IT Intern assists with the design, development, and deployment of enterprise-grade artificial intelligence solutions, with a focus on Generative AI, Retrieval-Augmented Generation (RAG), and agentic AI workflows. This role provides hands-on experience with applied AI development, backend Application Programming Interface (API) development, cloud deployment, and enterprise data integration.
Essential Functions:
  • Assist in the design, development, testing, and deployment of AI-powered applications for enterprise use cases, including Generative AI solutions.
  • Assist in implementing LLM-based and agentic AI workflows using LangChain, LangGraph, and/or related design patterns.
  • Assist in developing, optimizing, and maintaining Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, parsing, extraction, indexing, and retrieval.
  • Co-build and co-maintain backend APIs and services using.
  • Learn to integrate AI applications with enterprise data platforms and systems, including Cosmos Database, structured query language (SQL) server, and internal applications.
  • Contribute to prompt engineering, evaluation, and response-quality improvement initiatives.
  • Help support cloud deployment, monitoring, and performance optimization of AI applications in Azure environments.
  • Participate in continuous integration (CI)/continuous delivery (CD) pipelines, version control, and release processes using Azure DevOps.
  • Collaborate with cross-functional teams to troubleshoot issues, improve performance, and enhance system scalability.
  • Document architectures, workflows, technical decisions, and implementation details to support maintainability and knowledge sharing.
  • Follow established security, compliance, and development standards and apply emerging AI and software engineering best practices.
  • Other duties as assigned.

Education and Training
  • Must be a current enrolled student or recent graduate in a computer science, AI, IT, or related technical program.
  • Must have a minimum grade point average (GPA) of 3.0 on a 4.0 scale.
  • Coursework or hands-on experience in software development or programming is essential.

Minimum Qualifications
  • Strong interest in applied AI and software development within an enterprise environment is necessary.
  • Strong foundation in Python programming, gained through coursework, projects, internships, and/or self-study is essential.
  • Basic understanding of backend development and APIs, including how services communicate, and exchange data is required.
  • Foundational knowledge of Generative AI concepts, including large language models (LLMs) and prompt engineering is crucial.
  • Exposure to databases, including relational databases and/or NoSQL databases is necessary.
  • Interest in cloud-native development and AI system deployment, preferably within Microsoft Azure or a comparable platform is required.
  • Basic exposure to development workflows, such as version control and CI/CD concepts is essential.
  • Strong analytical, communication, and problem-solving skills, with the ability to collaborate effectively in a team environment is required.
  • Demonstrated willingness to learn and adapt to new technologies and best practices are necessary.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristics protected by law.

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