Software Engineer — Data Platforms for Trading

HIGH FREQUENCY TRADING; Chicago (IL); On-site; USD 120,000 - 160,000; Full time

Job summary

HIGH FREQUENCY TRADING is seeking a Software Engineer to build scalable Python/Java applications and data-driven platforms for high-volume trading environments in Chicago. You will design backend services, dashboards, and data pipelines, work with large datasets and modern data infrastructure, and collaborate with cross-functional teams from product to quant research.

This role emphasizes production-quality software, ownership of projects through the full SDLC, and delivering reliable,

Qualifications

• 3+ years of software engineering experience.
• Strong programming experience in Python and/or Java.
• Experience designing, building, and supporting production-level applications.

Responsibilities

• Design, develop, and maintain scalable software applications using Python and/or Java.
• Build analytical tools, dashboards, and applications transforming complex datasets into insights.
• Develop and optimize backend services, APIs, and data processing pipelines.
• Work with large-scale datasets, relational databases, and modern data infrastructure.
• Collaborate with cross-functional teams to gather requirements and deliver technical solutions.
• Improve application performance, reliability, scalability, and overall system architecture.
• Contribute to design and development of new platforms while enhancing existing systems.
• Take ownership of projects through the entire software development lifecycle from design to production deployment.

Skills

Python

Java

APIs

Data processing

Troubleshooting

Collaboration

Tools

Kubernetes

Docker

PostgreSQL

ClickHouse

Parquet

Hadoop

Cloud

Job description

HIGH FREQUENCY TRADING is seeking a Software Engineer to build scalable Python/Java applications and data-driven platforms for high-volume trading environments in Chicago. You will design backend services, dashboards, and data pipelines, work with large datasets and modern data infrastructure, and collaborate with cross-functional teams from product to quant research.

This role emphasizes production-quality software, ownership of projects through the full SDLC, and delivering reliable,