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

Our data engineering internship is an intensive 10‑week program responsible for developing and maintaining the infrastructure and pipelines to support data for firm‑wide use. What You'll Do: You ...

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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.

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.

Engineering project support, including sponsoring engineering changes, data analysis, and root ... Previous internship or other working experience, a plus. This information is provided in compliance ...

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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 ...

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 ...

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Data Engineering Internship information

See Chicago, IL salary details

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How much do data engineering internship jobs pay per hour?

As of Sep 2, 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 cities near Chicago, IL are hiring for Data Engineering Internship jobs?

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

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)

P2P

Chicago, IL • On-site

$150 - $250/hr

Other

Posted yesterday

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Job description

Core Development is 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, data science and research, to deliver the infrastructure and tools that drive our trading and business needs.

Our data engineering internship is an intensive 10‑week program responsible for developing and maintaining the infrastructure and pipelines to support data for firm‑wide use.

What You’ll Do:

You will work side by side with our experienced data engineers, receiving ongoing feedback and coaching from a dedicated mentor throughout the summer. You will take on projects working on production code, gaining 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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