Year-Round Data Intern: Cloud Data Systems & AI Tools

The Options Clearing Corporation (OCC)

Illinois

Hybrid

USD 28,000 - 40,000

Full time

3 days ago
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Job summary

The Options Clearing Corporation (OCC) seeks a year-round intern in Chicago to support Data Platform Core and Data Services on cloud-based data processing. The program runs January 2027 through December 2027, up to 20 hours per week during school and up to 40 hours in summer.

You will gain real-world financial services experience, contribute to tooling, and learn CI/CD, Kubernetes, Kafka, and AI-assisted coding in a regulated environment.

Qualifications

  • Rising senior or second-year graduate student. Graduating Dec 2027 or May/Aug 2028.
  • Majors: Computer Science, Information Systems, Data Analytics.
  • Knowledge of SQL, data analytics, Python and/or Java.

Responsibilities

  • Work with Data Platform Core and Data Services on cloud-based data processing and data access with SQL, Java, Python, Kubernetes, Kafka.
  • Collaborate on planning, documenting requirements, writing SQL, and troubleshooting issues.
  • Learn new tools and technologies; participate in sprint reviews and present end-of-sprint deliverables.
  • Leverage AI-assisted development tools like Claude Code to speed feature development and code review in a regulated environment.
  • Collaborate with business users and technical teams to understand data needs and provide accessible data for analysts.

Skills

SQL
Data analytics
Python
Java

Education

CS/IS/Data Analytics student

Tools

AWS
S3
IAM
EC2
Kubernetes
Kafka
Git
Jenkins
Artifactory
Splunk

Job description

The Options Clearing Corporation (OCC) seeks a year-round intern in Chicago to support Data Platform Core and Data Services on cloud-based data processing. The program runs January 2027 through December 2027, up to 20 hours per week during school and up to 40 hours in summer.

You will gain real-world financial services experience, contribute to tooling, and learn CI/CD, Kubernetes, Kafka, and AI-assisted coding in a regulated environment.

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