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Data Engineering - Market Data Engineering - Software Engineer - Associate - Dallas

Goldman Sachs

Salary not specified
Oct 18, 2025
Dallas, TX, US
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Market Data Engineering is looking for talented engineers to ensure delivery success in a project to revolutionize data ingestion, curation, and distribution of global financial market data.

Requirements

  • 2-3+ years of experience in distributed system design
  • 3-5+ years of experience using Java
  • 3-5+ Developing restful web services using Spring/Spring Boot
  • 3-5+ years of experience with Data structures, time and space complexity, object-oriented design and handling multi-threaded systems.
  • Java, Spring-boot, Restful Web Services, NoSQL, Apache Kafka
  • Working with Relational Databases, such as Sybase ASE, Sybase IQ, and DB2

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)
  • Comfort with Agile operating models (practical experience of Scrum / Kanban)
  • 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
  • Financial Services industry experience