Senior Data Science Engineer Jobs in Chicago, IL
Senior Data Science Engineer jobs in Chicago are concentrated in the Loop, River North, and the Fulton Market tech corridor, with strong demand across fintech, healthcare analytics, and enterprise software. Employers hiring right now include University of Chicago, University of Illinois, and CCC Intelligent Solutions. Find a role that fits below and apply directly.
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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
Senior Data Science Engineer Jobs in Chicago: Frequently Asked Questions
How do I get a senior data science engineer job in Chicago?
Focus your search on Chicago's fintech corridor, the health systems clustered along the Medical District, and the enterprise tech firms headquartered in the Loop and Fulton Market. Candidates who combine strong ML engineering skills with domain knowledge in finance or healthcare move fastest here. Building a portfolio that demonstrates production-scale model deployment, not just research work, gives you a concrete edge with Chicago employers.
Which companies hire senior data science engineers in Chicago?
Employers hiring senior data science engineers in Chicago right now include University of Chicago, University of Illinois, and CCC Intelligent Solutions, based on current listings on Migrate Mate as of August 2026. Chicago's hiring mix tends to favor established financial services firms, major health systems, and mid-to-large enterprise tech companies rather than early-stage startups.
Are there remote senior data science engineer jobs in Chicago?
Yes, senior data science engineer work is well-suited to remote and hybrid arrangements because the core work is analytical and code-driven rather than on-site. About 75% of senior data science engineer openings tied to Chicago are remote or hybrid as of August 2026, reflecting broad adoption across the sector. Model development, pipeline work, and stakeholder reporting are the functions most commonly performed fully remote in Chicago-based roles.
How can I get a senior data science engineer job in Chicago with little or no experience?
The most realistic entry path in Chicago is through associate or junior data scientist roles at the city's large financial institutions and health systems, which run structured analyst programs that feed into senior tracks. Targeting companies in the Fulton Market tech cluster for data engineering apprenticeships or contract-to-hire roles is another practical route. Strong Python skills, a GitHub portfolio with real pipelines, and familiarity with cloud platforms move entry-level candidates to the top of local shortlists.
Which industries hire the most senior data science engineers in Chicago?
The sectors hiring the most senior data science engineers in Chicago are Education, Banking & Financial Services, and Consulting & Professional Services, based on current listings on Migrate Mate as of August 2026. Chicago's position as a national hub for commodity trading, insurance, and healthcare systems creates sustained, year-round demand for senior-level data science engineering across those fields.
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