Software Engineer Intern – Data Pipeline Engineering

Job Description:

Building trusted markets — powered by our people.

At Cboe Global Markets, we inspire our people to solve complex challenges together because what we do matters. We provide the financial infrastructure that powers the global economy. As a leading provider of market infrastructure and tradable products, Cboe delivers cutting-edge trading, clearing and investment solutions to market participants around the world.

Cboe interns work with a variety of staff across multiple departments and have the opportunity to put their skills to work in their field of interest, while learning about Exchange technology and operations through our robust Options Institute courses.

The three main foundational pillars of our internship program are: develop, educate and network. We want to ensure each of our interns receive a real-world working experience that encourages academic, professional and personal growth.

Candidates should be versatile, eager and able to work in a fast-paced, time-sensitive financial and technical environment. Our interns will have the flexibility of working 2 days remotely, and 3 days in office per week at one of our state-of-the-art offices in Chicago, Kansas City, and New York City. To be eligible for this internship, applicants must be enrolled in a university or college program and should not be scheduled to graduate before December of the internship year. Our internship program runs from June to August and you will wrap up your internship with a final presentation and retreat. Visit our student page for more information about our internship program!

The Data Pipeline Engineering team is hiring for a Software Engineer Intern – Data Pipeline Engineering

Data Pipeline Engineering Team, What We Do

We design, develop, deploy, and support data driven batch and streaming systems supporting North American exchange markets trading over $500B notional securities daily.  We store every order, cancel, and execution with care.  

We architect systems managing billions of events per day.  We optimize for scalability, resiliency and performance.

We live and breathe automation.  We are analytical thinkers.  We are always learning our craft.  If it’s broken, we fix it.  If it needs refactoring, we refactor it.  If it’s hard to test, we make it testable.  We are pragmatic.  We ship code weekly.  We’re looking for like-minded individuals to join us.

Your responsibilities and learning objectives will be:

Join our Data Pipeline Engineering team managing, reconciling and processing all data across all Cboe North American trading exchanges environments. 

Help us develop and support all exchange integrated back-office processing to perform trade clearing, customer reporting, billing, symbol processing, regulatory reporting, data exchange with numerous 3rd parties, data backup and replication, and variety of business automation capabilities to enhance and extend exchange operations for our real-time trading system.

A few specific tasks will be:

• Onboard with DPE team building your local development environment, and understand best practices for quality software engineering at Cboe.
• Lead design, development, testing and deployment for at least 1 project supported by senior team mentors to be installed in production before completion of internship.
• Participate in small but important DPE systems resiliency, maintainability, scalability or performance improvements as assigned by your manager.

The ideal candidate has: Detail any essential qualifications or skills necessary for the role. Be realistic about expectations for interns, but also open to candidates from diverse educational backgrounds. For instance:

• Must be currently enrolled in a Bachelor’s or Master’s program in Marketing, Computer Science, or related field and should not be scheduled to graduate before December of the internship year.
• Solid knowledge of software engineering data structures and algorithms.
• Experience with Python or experience in another language with desire to learn Python.
• Experience with Linux or UNIX-like systems and knowledge of at least one scripting language.
• Self-directed, self-motivated.

You’ll really stand out with:

• Experience with Postgres or similar relational databases desirable.
• Experience w AWS, Snowflake, and cloud-based platforms and services desirable.

Benefits and Perks

• Competitive compensation
• Flexible, hybrid work environment, 3 days in office, 2 days remote, per week.
• 2:1 401(k) match, up to 8% match immediatel