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 Chicago, University of Illinois, and CCC Intelligent Solutions. See the openings below and apply to the ones that match your experience.
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Pay Rate/Hourly Range:
The hourly range is $20.00 - $43.00 per hour.
Pay is based on factors including school year, program of study, role responsibilities, etc.
CCC Intelligent Solutions Inc. (CCC) is a leading cloud platform for the multi-trillion-dollar insurance economy, creating intelligent experiences for insurers, repairers, automakers, part suppliers, and more. At CCC, we’re making life just work by empowering more than 35,000 businesses with industry-leading technology to get drivers back on the road and to health quickly and seamlessly. We’re pushing boundaries with innovative AI solutions that simplify and enhance the claims and repair journey. Through purposeful innovation and the strength of its connections, CCC technologies empower the people and industry relied upon to keep lives moving forward when it matters most. Learn more about CCC at www.cccis.com.
The Role
Our program is designed to #CCCJumpstart your career! At CCC, you will work and learn alongside innovative and inspiring leaders and gain valuable technical experience while working on real business solutions in a corporate setting.
Key Responsibilities:
You'll join the Data Engineering team that builds the data and AI foundation for the company: the curated, governed, well-modeled data that powers analytics, machine learning, and generative AI across CCC. Interns work on real pipelines and real datasets serving the auto-insurance industry and internal teams.
Technology:
- Databricks (Delta Lake, Unity Catalog, workflows)
- PySpark / Spark
- AWS (S3, EMR, Glue, Athena, Lambda)
- Python and SQL
- Apache Airflow
- Data governance and data quality
What you'll do:
- Build end-to-end pipelines that turn raw data into fully curated, enhanced datasets ready for analytics and model training.
- Work with data across all three shapes: structured (relational databases, transactional tables), semi-structured(JSON, XML, compressed/zipped files), and unstructured (claim photos, estimate PDFs, repair notes, audio, and video).
- Produce reusable data building blocks, data models, and data flows for varying client demands — dimensional models, data feeds, dashboard reporting, and data science research and exploration.
- Develop and optimize Spark jobs on Databricks, including Delta Lake tables and incremental and batch processing patterns.
- Apply data governance practices using Unity Catalog and AWS Glue Data Catalog: cataloging and lineage, access controls, PII handling, schema management, and data quality validation.
- Use Apache Airflow to build DAGs that handle cross-DAG dependencies, orchestrate concurrent pipelines, monitor tasks, and alert when SLAs are not met.
- Partner with data scientists and ML engineers to make datasets model-ready, including preparing multimodal data for AI and computer vision use cases.
Technical environment: Python and Spark; Databricks, Delta Lake, and Unity Catalog; AWS ecosystem (S3, EMR, Glue, Athena); Airflow for scheduling and monitoring of big data ETL pipelines; SQL for data profiling and validation; Unix commands and scripting; distributed computing and lakehouse fundamentals; Generative AI, and Agentic AI fundamentals.
Requirements:
In order to be considered for this role you are required to be in pursuit of an Associate, Bachelor's or Master's throughout your internship.
We are looking for candidates who offer strong collaborative skills and work well with a team. A strong interest in computer science and/or related fields is essential to the success of each intern.
If you have knowledge, through coursework or project work, of Python, Machine Learning, or Statistics/ Modeling, this opportunity is right for you.
Interview Policy & Privacy Notice:
A video interview is required for this position. Video interviews are transcribed. Transcriptions are retained and may be reviewed by CCC and our recruiters. Candidates are not permitted to use generative AI or automated assistance during the interviews unless explicitly allowed by the interview team for a specific exercise. Our Job Applicant Privacy Notice is available HERE.
About CCC's Commitment to Employees:
CCC Intelligent Solutions understands that our employees play an integral role in our vision to shape a world where life just works. Our team is defined by our values of Integrity, Customer-Focus, Innovation, Inclusion & Diversity, Tenacity, and Connection. Through diverse perspectives, purposeful innovation, and the strength of connections, our technologies empower the people and industry relied upon to keep lives moving forward when it matters most.
At CCC, together everyone can thrive as we innovate and collaborate, creating employee experiences that just work. We are committed to providing opportunities for our people to make real-life impacts, advance in their careers, and contribute to CCC’s success.
CCC offers competitive compensation and benefits to support you and your families, including:
401K Match
Paid time off
Annual Incentive Plan Performance Bonus
Comprehensive health insurance
Adoption Assistance
Tuition Reimbursement
Wellness Programs
Stock Purchase Plan options
Employee Resource Groups
For more information about our benefits, please check out our careers site.
Here, you belong. You are seen, valued, and respected. We celebrate you for who you are and all you bring. Every voice is heard and is important to our success. You can hear what employees have to say about our culture here
If you require reasonable accommodation to complete a job application, please contact (800) 621-8070.
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Who's Hiring



Top Industries Hiring
- Education
- Banking & Financial Services
- Consulting & Professional Services
- Media & Entertainment
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 Chicago, University of Illinois, and CCC Intelligent Solutions and others right now, based on current listings on Migrate Mate as of August 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 75% of data science engineer openings tied to Chicago are remote or hybrid as of August 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, Banking & Financial Services, and Consulting & Professional Services, per current listings on Migrate Mate as of August 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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