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Software Engineer

FanDuel

$82,000 - $108,150
Dec 8, 2025
New York, NY, US
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FanDuel is looking for a Software Engineer to design, build, and maintain production-ready systems and tools that drive FanDuel's trading operations and sports modeling.

Requirements

  • Experience and passion working with web libraries and frameworks, such as React, Typescript, and/or Bootstrap.
  • Experience writing distributed, highly scalable, and available backend systems & APIs using at least one higher level language (Python, JS, Java, .NET)
  • A fundamental understanding of data structures and algorithms.
  • Experience with testing concepts, test tools, and integrating testing and best practices in the SDLC
  • Desire to learn and develop your skills through a growth mindset
  • Passion for working within a fast-paced environment and can adapt to change
  • Experience with cloud-based technologies and containerization (e.g. Docker, Kubernetes) is a plus

Responsibilities

  • Data ingestion pipelines that capture and process large-scale, real-time sports data from multiple external providers.
  • Backend APIs that power internal models and tools by exposing accurate, performant, and reliable sports data.
  • Web applications used by traders to manage risk, adjust lines, and monitor markets efficiently.
  • Integration tooling and infrastructure that allow our modeling and trading systems to operate seamlessly in production environments.
  • Identify opportunities to improve scalability, performance, and reliability across our services while maintaining close alignment with data science workflows.
  • Develop and support production-ready systems and tools that drive FanDuel's trading operations and sports modeling.
  • Collaborate closely with data scientists and traders to design, build, and maintain production-ready systems and tools.

Other

  • BA/BS degree in Computer Science or related software engineering field, or equivalent practical experience.
  • Strong sense of ownership, urgency, and drive.
  • Demonstrated abilities driving operational excellence and software best practices.
  • Must be able to work in a fast-paced environment and adapt to change
  • Must be humble, pragmatic, self-managed, thirsty for knowledge, never satisfied and always challenging the norm