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Summer Data Engineer Jobs in Chicago, IL (NOW HIRING)

Jump Trading

Campus Data Engineer (Intern)

Chicago, IL · On-site

$250K/yr

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 ...

Jump Trading

Campus Data Engineer (Intern)

Chicago, IL · On-site

$250K/yr

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 ...

FIRST STOP HEALTH

Director, Data Enablement

Chicago, IL · On-site

... Summer Fridays. Furthermore, the employer match 401k plan and monthly phone stipend demonstrates ... This is a high-impact leadership role at the intersection of data engineering, governance, AI ...

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All JobsSummer Data Engineer JobsSummer Data Engineer Jobs in Chicago, IL

Summer Data Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do summer data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for summer data engineer in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 per year, depending on experience, location, and employer.

Can I become a summer data engineer in 6 months?

Becoming a summer data engineer within six months is possible if you have a strong foundation in programming, data management, and relevant tools like SQL and Python. Gaining practical experience through projects, online courses, and certifications can accelerate your readiness for such a role, but it depends on your prior knowledge and dedication.

What kinds of projects or tasks does a summer data engineer typically work on during an internship?

Summer Data Engineers are often assigned to real-world projects such as building data pipelines, cleaning and transforming datasets, and supporting analytics initiatives within their teams. They may collaborate with data scientists, software engineers, and business analysts to ensure data is accessible, reliable, and well-documented for analysis or reporting. Weekly responsibilities can include writing SQL queries, developing ETL (Extract, Transform, Load) processes, and participating in regular team meetings or code reviews. This hands-on experience provides valuable exposure to industry-standard tools and practices, helping interns build a strong foundation for future data engineering roles.

Are summer data engineers still in demand?

Summer data engineering roles remain in demand as companies continue to prioritize data infrastructure, analytics, and cloud-based tools like SQL, Python, and Spark. These positions often require strong technical skills and the ability to work with large datasets, making them valuable for organizations seeking to leverage data-driven decision-making during the summer season.

What are the key skills and qualifications needed to thrive as a summer data engineer, and why are they important?

To thrive as a Summer Data Engineer, you need a solid understanding of programming languages (such as Python or SQL), data structures, and data processing concepts, typically supported by ongoing or completed coursework in computer science, statistics, or related fields. Familiarity with data engineering tools like Apache Spark, Hadoop, and cloud platforms (e.g., AWS or Azure) is often expected, as are internships, workshops, or relevant technical certifications. Strong problem-solving abilities, willingness to learn, effective communication skills, and teamwork help set applicants apart. These competencies enable you to efficiently support data-driven projects, collaborate with cross-functional teams, and contribute meaningfully during a short-term internship or seasonal assignment.

What is a summer data engineer?

A Summer Data Engineer is a seasonal or internship role focused on assisting data engineering teams with tasks like data pipeline development, ETL processes, and database management. This role typically involves working with programming languages such as Python or SQL, cloud platforms, and data processing frameworks. Summer Data Engineers help ensure that data is efficiently collected, stored, and accessible for analysis. The position provides hands-on experience in data infrastructure and is ideal for students or early-career professionals looking to gain industry experience.

What are the most commonly searched types of Data Engineer jobs in Chicago, IL?

The most popular types of Data Engineer jobs in Chicago, IL are:

What are popular job titles related to Summer Data Engineer jobs in Chicago, IL?

For Summer Data Engineer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Summer Data Engineer jobs in Chicago, IL look for?

The top searched job categories for Summer Data Engineer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Summer Data Engineer jobs?

Cities near Chicago, IL with the most Summer Data Engineer job openings:

Summer Data Engineer jobs near you
Infographic showing various Summer Data Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

Campus Data Engineer (Intern)

Jump Trading

Chicago, IL • On-site

$250K/yr

Full-time, Internship

Re-posted 7 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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