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

Jump Trading

Campus Data Engineer (Intern)

Chicago, IL · On-site

$250K/yr

Our data engineering internship is an intensive 10-week experience with our team who is responsible for developing and maintaining the infrastructure and pipelines to support data for firm wide use.

Jump Trading

Campus Data Engineer (Intern)

Chicago, IL · On-site

$250K/yr

Our data engineering internship is an intensive 10-week experience with our team who is responsible for developing and maintaining the infrastructure and pipelines to support data for firm wide use.

Schnabel

Construction and Engineering Internship

Cary, IL

$17 - $22/hr

The internship can also be done as a co-op during the spring or fall semester. The main ... Field data collection and entering into excel spreadsheets * Quantity take-offs and preconstruction ...

Schnabel

Construction and Engineering Internship

Cary, IL · On-site

$17 - $22/hr

The internship can also be done as a co-op during the spring or fall semester. The main ... Field data collection and entering into excel spreadsheets * Quantity take-offs and preconstruction ...

IBM

Data Engineer Intern 2027

Chicago, IL

... internships, personal/academic projects, hackathons, and/or publications. * General familiarity with databases, data-engineering tools (SQL, Spark) and cloud platforms (e.g., IBM Cloud, Azure, AWS)

IBM

Data Engineer Intern 2027

Chicago, IL · On-site

... internships, personal/academic projects, hackathons, and/or publications. * General familiarity with databases, data-engineering tools (SQL, Spark) and cloud platforms (e.g., IBM Cloud, Azure, AWS)

IBM

Data Engineer Intern 2027

Chicago, IL · On-site

... internships, personal/academic projects, hackathons, and/or publications. * General familiarity with databases, data-engineering tools (SQL, Spark)and cloud platforms (e.g., IBM Cloud, Azure, AWS)

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Data Engineering Internship information

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How much do data engineering internship jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for data engineering internship 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 is a data engineering internship?

A Data Engineering Internship is a temporary position designed for students or recent graduates to gain practical experience in building, managing, and optimizing data pipelines and infrastructure. Interns typically work alongside professional data engineers to learn about data extraction, transformation, and loading (ETL) processes, database management, and data warehousing. This role provides hands-on exposure to tools like SQL, Python, and cloud platforms, helping interns develop essential technical skills for a career in data engineering. Interns may also assist in improving data quality and supporting analytics initiatives within a company.

What types of projects or tasks can I expect to work on during a data engineering internship?

As a Data Engineering Intern, you can expect to work on a variety of tasks such as building data pipelines, cleaning and transforming raw data, and assisting in the integration of data from multiple sources. You may also support the team in optimizing database performance and ensuring data quality. Interns often collaborate with data scientists, analysts, and software engineers, gaining exposure to different tools and technologies like SQL, Python, and cloud platforms. These experiences provide a strong foundation for a future career in data engineering.

What are the key skills and qualifications needed to thrive as a data engineering intern?

To thrive as a Data Engineering Intern, you need a solid grasp of programming (especially Python or Java), databases (SQL/NoSQL), and data structures, often demonstrated by coursework or relevant projects. Familiarity with data processing tools like Apache Spark, ETL pipelines, and cloud platforms such as AWS or Google Cloud is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication help interns excel in collaborative and fast-paced environments. These skills are crucial for building reliable data pipelines and supporting data-driven decision-making within organizations.

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

AspectData Engineering InternshipData Analyst Internship
Required SkillsSQL, Python, ETL, cloud platformsExcel, SQL, data visualization tools
Work EnvironmentData pipelines, backend systems, cloud infrastructureData reporting, dashboards, business insights
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Data Engineering Internships focus on building and maintaining data pipelines and infrastructure, requiring technical skills like SQL and Python. Data Analyst Internships emphasize analyzing data to generate insights, often using Excel and visualization tools. Both roles are common in tech-driven industries but serve different functions within data teams.

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 are popular job titles related to Data Engineering Internship jobs in Chicago, IL?

For Data Engineering Internship jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Data Engineering Internship jobs in Chicago, IL look for?

The top searched job categories for Data Engineering Internship jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Data Engineering Internship jobs?

Cities near Chicago, IL with the most Data Engineering Internship job openings:

Data Engineering Internship jobs near you
Infographic showing various Data Engineering Internship job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $41,385 per year, or $19.9 per hour.

Campus Data Engineer (Intern)

Chicago, IL

Jump Trading
Finance and Insurance • 501 - 1,000 employees
Learn more about Jump Tradingexternal

$250K/yr

Full-time, Internship

Re-posted 17 days ago

Job description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winning together and unlocking unique individual talent by incenting collaboration and mutual respect. At Jump, research outcomes drive more than superior risk adjusted returns. We design, develop, and deploy technologies that change our world, fund start-ups across industries, and partner with leading global research organizations and universities to solve problems.

Jump Trading has a global team of technologists who architect, build and maintain our world-class trading platform. From optimizing our core trading engine to building custom hardware, we leverage software & hardware engineering, sophisticated front-end technologies, data science and research, to deliver the infrastructure and tools that drive our trading and business needs.

What You'll Do:

Our data engineering internship is an intensive 10-week experience with our team who is responsible for developing and maintaining the infrastructure and pipelines to support data for firm wide use. You will be working side by side with our experienced data engineers and you'll receive ongoing feedback and coaching from a dedicated mentor throughout the summer. Our internship program is the primary way we identify top engineers and it's a proven path for earning full-time opportunities at Jump. 

You will take on projects working on production code and gain experience with our full-cycle process for development, testing, and release using Agile methodologies. You will apply your programming and analysis skills to maintain and develop our firm wide data solutions. Other duties as assigned or needed. 

Skills You'll Need:

Hands-on experience and a high level of proficiency in one or more of the following: 

  • Python development on Linux platform 
  • Strong understanding of data structures and threading models 
  • Ability to work with a team in a fast-paced environment, deploying new software daily 
  • Passion for solving complex problems and learning to build optimal solutions from scratch, instead of simply assembling things from existing libraries 
  • Interest in using knowledge from several areas -- such as data pipelining and database management -- to ensure firm wide data integrity 
  • Comfortability with Claude Code 
  • Reliable and predictable availability 

* No finance or economics study or work experience required 

Also helpful, but not required: 

  • Past internship or job experience in a data engineering role is a plus 
  • Advanced coursework in algorithms & data structures 
  • Exposure to data analytics tools such as Pandas 

INTERNATIONAL STUDENTS are encouraged to apply. We accept students eligible for CPT/OPT and we sponsor work visas for full-time positions. 

The estimated base salary for this role is $250,000 per year.

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