Data Pipeline Engineer Intern: Build Scalable Data Systems

cboe

Kansas City (MO)

On-site

USD 28,000 - 41,000

Full time

4 days ago
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Benefits offered by this job

Competitive pay
401(k) match
Free lunch
Coffee and snacks
Networking events
Affinity groups

Job summary

Cboe Global Markets offers a Software Engineer Intern position in Data Pipeline Engineering, focusing on data-driven batch and streaming systems used across North American exchange markets.

As part of the internship, you will work with mentors to build real-world capabilities in data processing, back-office workflows, and production-grade software practices within a fast-paced financial tech environment.

Qualifications

  • Must be currently enrolled in a Bachelor's or Master's program in Marketing, Computer Science, or related field and should not 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.

Responsibilities

  • Join DPE team in managing all data across Cboe NA trading exchanges.
  • Develop and support back-office processes for trade clearing, reporting, and data exchange.
  • Onboard with DPE, learn best practices for quality software engineering.
  • Lead design, development, testing and deployment for at least one project.
  • Contribute to resiliency, maintainability, and performance improvements.

Skills

Python
Linux/UNIX
Data structures/algorithms
Scripting language

Education

Bachelor's or Master's in Computer Science or related field

Tools

Postgres
AWS
Snowflake

Job description

Cboe Global Markets offers a Software Engineer Intern position in Data Pipeline Engineering, focusing on data-driven batch and streaming systems used across North American exchange markets.

As part of the internship, you will work with mentors to build real-world capabilities in data processing, back-office workflows, and production-grade software practices within a fast-paced financial tech environment.

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