Data Science Engineer Jobs in Chicago, IL
Data Science Engineer jobs in Chicago are concentrated in the Loop, River North, and the Fulton Market tech corridor, with strong demand across financial services, healthcare technology, and enterprise software. Top employers hiring right now include University of Illinois, Federal Reserve Bank of Chicago, and Mars. See the openings below and apply to the ones that match your experience.
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Federal Reserve Bank of Chicago The Federal Reserve Bank of Chicago is recognized as one of the most influential, trusted and prestigious financial institutions in the world. We serve the Seventh District encompassing Iowa and most of Illinois, Indiana, Michigan, and Wisconsin, and is one of the 12 regional Reserve Banks in the United States. Together with the Board of Governors in Washington, D.C., the 12 Banks constitute the nation’s central bank.INTERNSHIP PROGRAM DETAILS:
The Federal Reserve Bank of Chicago Summer Intern Program is a paid internship designed to give undergraduate, graduate, and doctoral students direct exposure to our Bank’s operations. Beginning in early June, interns commit to 40 hours a week for 10-12 consecutive weeks onsite or hybrid depending on the department’s requirement.
What makes this internship unique:
This internship gives you the opportunity to work for a regulatory bank dedicated to the public good by engaging in project-based assignments and professional development activities aligned with our mission. You will gain insights to the Federal Reserve System while contributing to your assigned department and build relationships with subject matters experts, Bank leadership, and fellow interns. You will work in a collaborative environment that fosters inclusion, reflecting all the communities we serve.
REQUIREMENTS:
- U.S. Citizen or Permanent Residency
- Must be a current, matriculated student in an accredited program graduating December 2027 or later
- 2.75 GPA (unofficial transcripts might be asked to submit)
- Ability to work 40 hours week throughout the duration of the 10–12 week internship program.
PREFERRED SKILLS:
- Intermediate working knowledge of Word and Excel
- Strong interpersonal and communication skills
- Ability to verbally present information and respond to questions from small to medium groups
- Ability to interpret data and analytics to develop insights, tell stories, support the decision-making process, and measure impact
- Detail-oriented and self-motivated
- Ability to interact with internal and external clients professionally in a fast paced, high-energy environment
- Ability to be an independent worker with a team player attitude
APPLICATION PROCESS:
- October - November 2026 – Applications due
- November 2026 through February 2027 – Interviews conducted and offers extended
- June 7, 2027, or June 14, 2027 – Internship start dates
OTHER THINGS TO KNOW:
Salary Range: The anticipated hourly compensation range for this internship is $20 to $33, with the specific rate offered determined by the candidate's academic level.
ADDITIONAL REQUIREMENTS:
- Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.
- This position may require additional screening requirements due to the information accessed while performing the job. These additional screenings would be initiated at the time of offer acceptance. The screening covers areas such as education/employment verification, criminal history, credit history, and reaches out to your references and people that know you well.
- As a condition of employment, Federal Reserve Bank of Chicago employees must comply with the Bank’s ethics rules, which generally prohibit employees, their spouses/domestic partners, and minor children from owning securities, such as stock, of banks or savings associations or their affiliates, such as bank holding companies and savings and loan holding companies. If you or your spouse/domestic partner or minor child own such securities and would not be willing or able to divest them if you accepted an offer of Bank employment, you should raise this issue with the recruiter for this posting, who can provide you contact information for our ethics official if necessary.
- This document indicates the general nature and level of work performed by employees within this position. It is not a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. An employee's responsibilities, tasks, and duties might differ from those outlined in the job description, and other duties, as assigned, are a part of the job. The Federal Reserve Bank of Chicago reserves the right to modify the elements of this job description, as business needs require.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status.
Full Time / Part Time
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First (United States of America)The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.
Always verify and apply to jobs on Federal Reserve System Careers (https://rb.wd5.myworkdayjobs.com/FRS) or through verified Federal Reserve Bank social media channels.
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Who's Hiring



Top Industries Hiring
- Education
- Media & Entertainment
- Banking & Financial Services
Data Science Engineer Jobs in Chicago: Frequently Asked Questions
How do I get a data science engineer job in Chicago?
Focus your search on Chicago's Loop financial district, Fulton Market tech corridor, and the healthcare technology cluster anchored around the Illinois Medical District. Financial services firms, trading companies, and large health systems are among the most active hirers. Candidates who demonstrate experience with real-time data pipelines, cloud platforms, and machine learning at scale tend to stand out in Chicago's highly quantitative, data-intensive market.
Which companies hire data science engineers in Chicago?
Chicago data science engineer roles are posted by University of Illinois, Federal Reserve Bank of Chicago, and Mars and others right now, based on current listings on Migrate Mate as of October 2026. Chicago's hiring mix is notably broad, pulling from major financial institutions and trading firms, large hospital networks, logistics and supply chain companies, and a growing base of mid-size tech and analytics startups.
Are there remote data science engineer jobs in Chicago?
Yes, data science engineering is well-suited to remote and hybrid arrangements given its primarily analytical and development-focused nature. About 100% of data science engineer openings tied to Chicago are remote or hybrid as of October 2026, reflecting the flexibility many employers in the region have adopted. Roles involving model development, pipeline engineering, and reporting tend to offer the most location flexibility among Chicago postings.
How can I get a data science engineer job in Chicago with little or no experience?
The most realistic entry path in Chicago is targeting associate data engineer or junior data analyst roles at mid-size analytics firms, fintech startups, or the large hospital networks concentrated near the Medical District. Chicago's robust community college and university ecosystem, including programs at University of Illinois Chicago, produces candidates who frequently land first roles through internships or co-op programs with local employers. Building a portfolio of end-to-end pipeline or ML projects demonstrably tailored to financial or healthcare data will differentiate you in Chicago's competitive market.
Which industries hire the most data science engineers in Chicago?
Most data science engineer openings in Chicago sit in Education, Media & Entertainment, and Banking & Financial Services, per current listings on Migrate Mate as of October 2026. Chicago's position as a global hub for commodities trading, a major center for healthcare systems, and a growing node for enterprise software drives concentrated, sustained demand for data science engineering talent across those sectors.
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