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Data Engineering Intern Jobs in Chicago, IL (NOW HIRING)

Quality Engineering Intern

Itasca, IL · On-site

$16.25 - $21.25/hr

As a Quality Engineering Intern , you will gain hands-on experience in semiconductor quality ... Real-world application of data-driven decision making. Requirements Specific Duties and ...

Quality Engineering Intern

Itasca, IL

$16.25 - $21.25/hr

As a Quality Engineering Intern , you will gain hands-on experience in semiconductor quality ... Real-world application of data-driven decision making. Requirements Specific Duties and ...

Quality Engineering Intern

Itasca, IL · On-site

$16.25 - $21.25/hr

As a Quality Engineering Intern , you will gain hands-on experience in semiconductor quality ... Real-world application of data-driven decision making. Requirements Specific Duties and ...

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.

Description We are seeking a motivated and detail-oriented Construction Engineering Intern to join ... Perform data collection and analysis for various construction-related tasks, including quantity ...

We are seeking a motivated and detail-oriented Construction Engineering Intern to join our team ... Perform data collection and analysis for various construction-related tasks, including quantity ...

... oriented Construction Engineering Intern to join our team. This internship offers a valuable ... Perform data collection and analysis for various construction-related tasks, including quantity ...

As a Quality Engineering Intern, you will work closely with our engineering, manufacturing, and ... Collaborate with the engineering team to troubleshoot and resolve product issues. * Analyze data to ...

New

... engineering principles. Strong interest in process improvement, data analysis, and manufacturing operations. Ability to collect, organize, and analyze data with attention to detail. Good written and ...

Engineering Intern Co-op

Chicago, IL

$17.25 - $22.50/hr

Lean The Continuous Improvement Engineering Intern/Co-op will report to the Regional Lean ... Provide regular reports of data and actions to measure progress against the plant objectives.

Engineering Intern Co-op

Chicago, IL

$17.25 - $22.50/hr

Lean The Continuous Improvement Engineering Intern/Co-op will report to the Regional Lean ... Provide regular reports of data and actions to measure progress against the plant objectives.

Engineering Intern Co-op

Chicago, IL · On-site

$17.25 - $22.50/hr

Lean The Continuous Improvement Engineering Intern/Co-op will report to the Regional Lean ... Provide regular reports of data and actions to measure progress against the plant objectives.

Engineering Intern Co-op

Chicago, IL

$17.25 - $22.50/hr

Lean The Continuous Improvement Engineering Intern/Co-op will report to the Regional Lean ... Provide regular reports of data and actions to measure progress against the plant objectives.

Engineering Intern Co-op

Chicago, IL

$17.25 - $22.50/hr

Lean The Continuous Improvement Engineering Intern/Co-op will report to the Regional Lean ... Provide regular reports of data and actions to measure progress against the plant objectives.

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Data Engineering Intern information

See Chicago, IL salary details

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$19

$30

How much do data engineering intern jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for data engineering intern in Chicago, IL is $19.90, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $21.54 per hour, depending on experience, location, and employer.

What types of projects and technologies can a Data Engineering Intern expect to work with during their internship?

As a Data Engineering Intern, you’ll typically work on projects involving data pipeline development, data cleaning, and integration of data from various sources. You can expect to use technologies like SQL, Python, and tools such as Apache Spark, Hadoop, or cloud platforms like AWS or Google Cloud. Interns often collaborate closely with data engineers, analysts, and sometimes data scientists to ensure data is accessible, reliable, and well-organized for analysis. This hands-on experience helps you build foundational skills and understand real-world data workflows within a collaborative team environment.

What does a Data Engineering Intern do?

A Data Engineering Intern assists in building and maintaining the systems and infrastructure that allow organizations to collect, store, and analyze large volumes of data. Their responsibilities often include cleaning and organizing raw data, developing data pipelines, and supporting the work of data engineers and data scientists. Interns may also work with tools like SQL, Python, and cloud platforms to automate data workflows. This role provides hands-on experience in managing data processes and understanding the fundamentals of data engineering in a real-world environment.

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

AspectData Engineering InternData Analyst Intern
Required SkillsBasic SQL, programming (Python, Java), understanding of data pipelinesData visualization, SQL, statistical analysis
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness intelligence teams, reporting tools, dashboards
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, retail, business sectors

While both roles involve working with data, a Data Engineering Intern focuses on building and maintaining data pipelines and infrastructure, whereas a Data Analyst Intern analyzes data to generate insights and reports. The roles share some technical skills like SQL but differ in their core responsibilities and work environments.

What are the key skills and qualifications needed to thrive as a Data Engineering Intern, and why are they important?

To thrive as a Data Engineering Intern, you need foundational knowledge in programming (especially Python or Java), databases, and data structures, often obtained through coursework in computer science or related fields. Familiarity with SQL, cloud platforms (like AWS or Azure), and data pipeline tools such as Apache Spark or Airflow is typically required. Strong problem-solving skills, attention to detail, and effective communication set exceptional interns apart. These skills and qualities are crucial for efficiently handling data workflows, collaborating with teams, and contributing to high-quality data solutions.
What are the most commonly searched types of Data Engineering jobs in Chicago, IL? The most popular types of Data Engineering jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Data Engineering Intern jobs? Cities near Chicago, IL with the most Data Engineering Intern job openings:
Infographic showing various Data Engineering Intern job openings in Chicago, IL as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,385 per year, or $19.9 per hour.
Quality Engineering Intern

Quality Engineering Intern

Syntiant

Itasca, IL • On-site

$16.25 - $21.25/hr

Temporary

Posted 13 days ago


Job description

Summary Description:
Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for a Quality Engineering Intern to take on a critical role to enhance our Quality team.
As a Quality Engineering Intern, you will gain hands-on experience in semiconductor quality systems, data analytics, and continuous improvement. You will collaborate with engineering and operations teams to analyze product and manufacturing data, develop AI-assisted tools and workflows, improve customer requirement management systems, and support initiatives that drive product quality, reliability, and operational excellence.
What You'll Learn:
  • Semiconductor manufacturing and quality systems.
  • Statistical process control and data analytics.
  • AI-assisted engineering workflows.
  • Product and manufacturing quality improvement methodologies.
  • Cross-functional collaboration between engineering, operations, and quality teams.
  • Real-world application of data-driven decision making.

Requirements
Specific Duties and Responsibilities:
  • Assist in the creation, maintenance, and analysis of product and component parametric databases to support engineering and quality initiatives.
  • Perform data analysis and statistical evaluations to identify trends, process improvements, and opportunities for quality enhancement.
  • Assist in developing scripts, dashboards, and AI-assisted tools to improve engineering productivity and operational efficiency.
  • Support continuous improvement initiatives related to manufacturing quality, process capability, and customer satisfaction.
  • Improve and maintain customer requirement databases, engineering records, and quality documentation systems.
  • Organize and maintain Office 365 SharePoint document management and data-sharing portals.
  • Support quality metrics reporting, management reviews, and special projects as assigned.

Qualifications, Education, and Experience Required:
  • Undergraduate student pursuing a degree in Engineering, Physics, Chemistry, Computer Science, Data Science, Statistics, Mathematics, or related technical disciplines.
  • Familiarity with statistical analysis techniques and data interpretation.
  • Strong analytical and problem-solving skills.
  • Excellent verbal and written communication skills.
  • Proficiency in Microsoft Excel, Word, and PowerPoint.
  • Interest in semiconductor technology, electronics manufacturing, quality systems, or data analytics.
  • Experience with Python, JMP, SQL, Power BI, Tableau, or similar analytical tools is preferred.
  • Experience with AI tools, automation, or scripting is highly desirable.

Benefits
About Syntiant:
Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company's purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant's advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world's leading strategic and financial investors including Intel Capital, Microsoft's M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting www.syntiant.com.