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# Software Engineer, Research - Cumberland Systematic

- **Company:** D R W Inc
- **Location:** Chicago, IL, United States
- **Salary:** $175,000.0 - $225,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, C++ (Programming Language), Information Engineering, Python (Programming Language), Machine Learning, Open Source Technology, Blockchain, Type Systems, System Availability, Data Management, Functional Programming
- **Published:** July 28, 2026
- **Apply:** https://www.dice.com/job-detail/7e874fa3-b347-4e01-b6f4-a4e25ef04320

## About the Role

* Python experience gained through professional experience
 * Built complex systems in modern Python that are maintainable and safely refactorable
 * Hands-on experience managing large, evolving timeseries data
 * A working knowledge of type safety and type systems
 * Strong verbal and written communication skills
 * Strong internal motivation and a continual desire to learn

Bonus points if you have:

 * Contributions to open-source crypto projects
 * Production experience running full or archive blockchain nodes at scale
 * Collaborated with quantitative researchers
 * A working knowledge of high-level machine learning concepts and lifecycle
 * Experience with functional programming and immutable design principles
 * Practical knowledge of major blockchain types and clients

## Description

We are looking for a Software Engineer to join our team. You will work with other software engineers to design and develop the full stack needed to enable a global trading operation with high availability requirements. You will be expected to design and develop integrations with data vendors, blockchain infrastructure, data management solutions, and libraries for managing and analyzing data. The team's existing systems are written in Python and C++.

Candidates should have strong initiative and proven experience independently driving projects to completion. We work from high-level requirements and engineers are expected to gain an intimate understanding of the business and work directly with quantitative researchers on a daily basis., * Design, develop, test, document, and maintain software and infrastructure needed for quantitative financial research

 * Accelerate the research lifecycle from data engineering to feature generation and analysis
 * Integrate with diverse data sources such as blockchains, exchanges, and data vendors
 * Test at the unit, functional, and integration levels
 * Work within in a small team as well as independently with a strong user focus
 * Provide on-call support as needed


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