Full-Stack Data & Automation Engineer

Selby Jennings; Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

Selby Jennings is seeking a Software Engineer to join a leading quantitative trading firm in Chicago. You will design, build, and maintain backend systems, data pipelines, and automation tools critical to trading workflows.

Collaborate with finance, operations, and trading teams, optimize performance, and contribute to platform enhancements using Python, SQL, Docker, and AWS in a fast-paced data-driven environment.

Qualifications

• 2-5 years of software engineering experience.
• Strong Python and SQL development skills.
• Experience building backend systems and working with large datasets.
• Hands-on experience with modern engineering tools and AI-assisted development workflows.
• Familiarity with CI/CD pipelines and software development best practices.
• Experience working with containerized environments such as Docker or Kubernetes.
• Cloud experience required; AWS exposure is a plus.
• Strong communication skills and the ability to collaborate with stakeholders.

Responsibilities

• Design, develop, and maintain business-critical applications, automation tools, and internal systems.
• Build and optimize data pipelines that support large-scale data storage, retrieval, and analytics.
• Create dashboards and visualization tools used by stakeholders across a global organization.
• Partner closely with finance, operations, and trading teams to gather requirements and deliver technical solutions.
• Improve system performance, streamline workflows, and drive operational efficiency through automation.
• Contribute to development best practices, system architecture, and ongoing platform enhancements.

Skills

Python

SQL

Backend systems

Data pipelines

AI-assisted workflows

CI/CD practices

AWS

Communication

Tools

Docker

Kubernetes

CI/CD

AWS

Job description

Selby Jennings is seeking a Software Engineer to join a leading quantitative trading firm in Chicago. You will design, build, and maintain backend systems, data pipelines, and automation tools critical to trading workflows.

Collaborate with finance, operations, and trading teams, optimize performance, and contribute to platform enhancements using Python, SQL, Docker, and AWS in a fast-paced data-driven environment.