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Data Engineering Internship Jobs in Illinois (NOW HIRING)

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

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

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

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

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)

Showing results 21-40

Data Engineering Internship information

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 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 are the most commonly searched types of Data Engineering jobs in Illinois? The most popular types of Data Engineering jobs in Illinois are:
What job categories do people searching Data Engineering Internship jobs in Illinois look for? The top searched job categories for Data Engineering Internship jobs in Illinois are:
What cities in Illinois are hiring for Data Engineering Internship jobs? Cities in Illinois with the most Data Engineering Internship job openings:
Infographic showing various Data Engineering Internship job openings in Illinois 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.

$118K - $141K/yr

Full-time

Re-posted 8 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

93rd of 171 rated banks


Job description

Lead Data Engineer

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.

What You'll Do:

  • Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies

  • Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems

  • Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake

  • Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community

  • Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment

  • Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Basic Qualifications:

  • Bachelor's Degree

  • At least 4 years of experience in application development (Internship experience does not apply)

  • At least 2 years of experience in big data technologies

  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)

Preferred Qualifications:

  • 7+ years of experience in application development including Python, SQL, Scala, or Java

  • 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)

  • 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)

  • 4+ year experience working on real-time data and streaming applications

  • 4+ years of experience with NoSQL implementation (Mongo, Cassandra)

  • 4+ years of data warehousing experience (Redshift or Snowflake)

  • 4+ years of experience with UNIX/Linux including basic commands and shell scripting

  • 2+ years of experience with Agile engineering practices

  • Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion

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.

Chicago, IL: $179,400 - $204,700 for Lead Data Engineer


McLean, VA: $197,300 - $225,100 for Lead Data Engineer


Richmond, VA: $179,400 - $204,700 for Lead Data Engineer









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.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

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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