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Data Engineer - Market Data Engineering

Goldman Sachs

Salary not specified
Sep 27, 2025
Dallas, TX, USA
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Market Data Engineering is looking to revolutionize data ingestion, curation and distribution and is seeking a skilled Senior Software Engineer to contribute to the team’s long term market data strategy development

Requirements

  • Java
  • Spring-boot
  • Restful Web Services
  • NoSQL
  • Apache Kafka
  • Distributed system design
  • Data structures, time and space complexity, object-oriented design and handling multi-threaded systems.

Responsibilities

  • Design, develop, test and support software components related to large scale applications that can process and distribute large volumes of high frequency real-time market data scaling millions of messages to/from internal and external clients.
  • Push high quality, modular, secure, testable, and maintainable code related to various components of the real-time market data.
  • Handle large amounts of structured and unstructured data and implementing solutions to extract meaningful signals out of it.
  • Work with a global engineering team and participate in design discussions, stand-ups across multiple regions.

Other

  • A bachelor’s or master’s degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)
  • Excellent communications skills and the ability to work with subject matter experts to extract critical business concepts.
  • Strong analytical and problem-solving skills
  • Strong work ethic, a sense of ownership
  • Comfort with Agile operating models (practical experience of Scrum / Kanban)