Software Engineer, High-Performance Data Pipelines

Cboe Global Markets, Inc.; Chicago (IL); On-site; USD 108,000 - 139,000; Full time

Benefits offered by this job

2:1 401(k) match

Paid time off

Tuition assistance

Job summary

Cboe Global Markets is seeking a software engineer to design and build high-performance, distributed systems for regulatory surveillance. You will develop scalable data pipelines, rule engines, and databases using Java, Python, Snowflake, Kafka, and Linux, with AI tooling to accelerate development.

The role emphasizes ownership, collaboration with cross-functional teams, and on-call rotation to ensure reliability in a fast-paced financial environment.

Qualifications

• Bachelor's degree in computer science or related field.
• 2+ years of software engineering in high-performance or distributed systems.
• Strong proficiency in Java and Python for backend development.
• Experience with Linux environments and scripting.
• Hands-on experience with SQL and Snowflake for large-scale data processing.
• Familiarity with streaming/big data tech like Apache Kafka is a plus.
• Ability to design scalable, low-latency systems handling billions of events daily.

Responsibilities

• Collaborate with end-users to refine functional requirements for complex data-driven systems.
• Produce architecture diagrams, technical designs, and test plans.
• Design, develop, test, and implement scalable data processing pipelines and databases.
• Optimize performance for large-scale, low-latency workloads.

Skills

Java

Python

SQL

Data structures & algorithms

Distributed systems

Education

Bachelor's Degree in Computer Science or related field

Tools

Snowflake

Kafka

Linux

Job description

Cboe Global Markets is seeking a software engineer to design and build high-performance, distributed systems for regulatory surveillance. You will develop scalable data pipelines, rule engines, and databases using Java, Python, Snowflake, Kafka, and Linux, with AI tooling to accelerate development.

The role emphasizes ownership, collaboration with cross-functional teams, and on-call rotation to ensure reliability in a fast-paced financial environment.