Software Developer - Data Normalization & Adaptation (DNA) Team
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Role details
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Job description
Susquehanna is seeking a talented Software Developer to join our Data Normalization & Adaptation (DNA) Team, which is responsible for processing billions of transactions per day in a real-time high-performance enterprise technology environment. You’ll also work alongside most front- and back-office teams to build business-critical systems that decipher, normalize, and distribute trading data to the firm. You’ll develop real-time trade reconciliation systems that monitor trading activity and escalate issues to the business through state-of-the-art monitoring capabilities. The team is developing several new components to bring new business activity into the back office.
In this job, you will:
- Participate in the design, development, and implementation of large, complex, high-performance applications that process large amounts of data with low latency
- Build mission-critical processes that must meet stringent high-availability and fault-tolerant requirements
- Participate in all phases of SDLC from initial requirements through final quality assurance with heavy emphasis on domain modeling, object-oriented analysis and design, and data modeling
- Provide technical direction and support for team applications and tools
Requirements
- Bachelor’s or Master’s degree in computer science, computer engineering, mathematics, or closely related STEM discipline
- Design and development experience using object-oriented programming in .Net technologies
- Experience with one or more message-oriented middleware solutions (RV, MSMQ, ActiveMQ, Apache Kafka, etc.)
- Good understanding of relational, as well as document, databases and experience with fundamental SQL using one or more of the database communication mechanisms: ADO, ODBC, and ODP.NET
- Ability to translate and communicate effectively between technologists and non-technical stakeholders
- Experience with all aspects of the SDLC, UML fundamentals, agile methodology, automated build, test-driven development, and source code control
- Familiarity with AI tools such as Claude Code and Cursor
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