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

Data & AI Platform Engineer

Chicago, IL · On-site

$118K - $141K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Minimum 2 years in a data engineering, platform engineering, analytics engineering, or cloud operations role (internships/co-ops count). * Minimum 1 year of representative accounting experience ...

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... the engineering community * Collaborate with digital product managers, and deliver robust cloud ... At least 4 years of experience in application development (Internship experience does not apply)

Lead Data Engineer

Chicago, IL

$118K - $141K/yr

... the engineering community * Collaborate with digital product managers, and deliver robust cloud ... At least 4 years of experience in application development (Internship experience does not apply)

Lead Data Engineer, (Python, AWS)

Chicago, IL · On-site

$118K - $141K/yr

... the engineering community * Collaborate with digital product managers, and deliver robust cloud ... At least 4 years of experience in application development (Internship experience does not apply)

... the engineering community * Collaborate with digital product managers, and deliver robust cloud ... At least 4 years of experience in application development (Internship experience does not apply)

Showing results 41-60

Data Engineering Internship information

See Chicago, IL salary details

$11

$19

$30

How much do data engineering internship jobs pay per hour?

As of Aug 18, 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:

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.

Current Master's - Data Science Internship - Summer 2027

Capital One

Chicago, IL

Full-time

Posted 28 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

92nd of 171 rated banks


Job description

Current Master's - Data Science Internship - Summer 2027

Key Role Details

  • This is a full-time paid internship program spanning ten weeks from June through August 2027.

  • Participation in the internship requires that you are located in the continental United States with in-person attendance at your assigned location, in accordance with Capital One's hybrid working model, for the duration of the program.

  • Interns will be evaluated for a full-time position with their team and will work with their manager on identifying a start date upon graduation.

This is a paid internship. This is a limited-time internship position, and Capital One will not sponsor a new applicant for employment authorization for this position. However, a full-time Data Science role, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.

Basic Qualifications

  • Currently pursuing one of the following with an expectation that the required degree will be obtained by August 2028 or earlier:

    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration

  • Must be continuing in the same course of study of your Master's degree following completion of the internship

  • At least 6 months of experience or academic work using open source programming languages for data analysis

  • At least 6 months of experience or academic work using machine learning techniques

Preferred Qualifications:

  • Direct experience with either Python, R or SQL

  • Experience or academic work in inferential statistics

  • Experience or academic work with relational databases

  • Experience or academic work with large scale data analysis

Data Science Internship - 2027

As a Data Scientist at Capital One, you'll be part of a high-performing team that's embracing the latest in computing technologies to unlock opportunities that help everyday people save money and improve their financial lives. You'll help our customers solve their financial services challenges by using groundbreaking techniques. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company. Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise.

On any given day, you might:

  • Evaluate open-source and internally-developed modeling and analytics tools using real business data

  • Integrate internal data with external data sources and APIs to discover and implement actionable insights

  • Design and craft data science models to communicate solutions to customers and company leadership

We'd love to find someone who is...

  • Intellectually curious. You ask why, you explore, and you are excited to imagine and create new ideas by inventing self-adaptive models or by tapping into unstructured data sources. You love mining data for insights into behaviors, intent and sentiment.

  • A builder. You are passionate about delivering better experiences and better products to our customers and have a deep sense of ownership for your craft.

  • An experimental scientist. You love putting on your lab coat and trying new things, new combinations of tools, techniques and feature engineering approaches even if you sometimes fail.

  • A Communicator. You seek to connect with teammates and business partners to share technical ideas that resonate with audience needs across verbal and written channels.

Are you ready to join a community of talented individuals who embrace customer problems and use their passion and capabilities to make a difference every single day? If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey!

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $147,000 - $147,000 for Data Science Intern


Chicago, IL: $134,000 - $134,000 for Data Science Intern


McLean, VA: $147,000 - $147,000 for Data Science Intern


New York, NY: $161,000 - $161,000 for Data Science Intern


Plano, TX: $134,000 - $134,000 for Data Science Intern


Richmond, VA: $134,000 - $134,000 for Data Science Intern


San Francisco, CA: $161,000 - $161,000 for Data Science Intern


San Jose, CA: $161,000 - $161,000 for Data Science Intern




Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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