Data Pipeline Engineer Intern

Cedar Cares, Inc; Overland Park (KS); On-site; USD 30,000 - 58,000; Full time

Benefits offered by this job

Competitive compensation and 401(k)

Daily in-office lunch

Free coffee and snacks

Networking events and happy hours

ARGs and affinity groups

Job summary

Cboe Global Markets invites energized interns to join the Data Pipeline Engineering team. You will help design, implement, and support data‑driven batch and streaming systems that power North American exchange markets.

The role emphasizes automation, testing, and production readiness within a fast‑paced financial tech environment. Ideal candidates are enrolled in a CS related program, know Python, Linux, and have fundamental data structures knowledge.

Qualifications

• Must be currently enrolled in a Bachelor’s or Master’s program in Computer Science or a related field.
• Solid knowledge of software engineering data structures and algorithms.
• Experience with Python or another language with desire to learn Python.
• Experience with Linux or UNIX‑like systems and knowledge of at least one scripting language.

Responsibilities

• 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.
• 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.

Skills

Python

Linux/UNIX

Data structures

Algorithms

Scripting language

PostgreSQL

AWS

Snowflake

Cloud platforms

Education

Bachelor’s or Master’s program in Computer Science or related field

Tools

PostgreSQL

AWS

Snowflake

Job description

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.

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 year in which the internship takes place. Our internship program runs from June to August and you will wrap up your internship with a final presentation and retreat.

Software Engineer Intern – Data Pipeline Engineering

Data Pipeline Engineering Team

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.

Responsibilities and Learning Objectives

• 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.

Ideal candidate

• 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 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 2:1 401(k) match, up to 8% match immediately upon hire.
• Daily complimentary in‑office lunch from local restaurants.
• Endless free coffee and snacks to fuel your workday.
• Monthly in office networking events and happy hours.
• Associate Resource Groups (ARGs) and affinity groups for support and community building.

More About Cboe Global Markets

We’re reimagining the future of the workplace by focusing on what matters most, our people. Our journey is an inclusive one. We’re investing deeply in leadership programs and career development initiatives that ensure everyone has an equal chance to succeed. We celebrate the diversity in our communities, inside and out, and welcome new perspectives with equity, inclusion and belonging. We work with purpose, solving problems with ingenuity, collaboration, and a lot of passion. We’re an engaged and excited team connecting markets across borders and embracing growth in all its forms to achieve incredible outcomes.

Equal Employment Opportunity

We're proud to be an equal opportunity employer - and celebrate our employees’ differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status.

#LI-CP1 This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.

Pay Range

Our pay range for interns is determined by function and education level. The national new hire base pay range for this job in the United States is $22.00 - $42.00 per hour. This range represents the minimum and maximum base pay target for new hires working in the position full time. Within the range, individual pay is determined by years of education completed. In addition to base pay, eligibility for our total rewards program may include benefits such as 401 (k) with a generous company match and paid sick time.