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Data Engineering - Core Data Platform - Software Engineer - Associate

Goldman Sachs

Salary not specified
Sep 13, 2025
Dallas, TX, USA
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Goldman Sachs is looking to improve the Legend data platform to optimize data access and delivery, enable core access controls, build UIs for data visualization/analytics/discovery/management, and ensure the firm's data needs are met.

Requirements

  • 3 + years of experience with UX frameworks (React/Angular, TypeScript is a plus)
  • 3+ years of experience using OO languages
  • 3+ years of experience in functional programming languages
  • Strong object-oriented design and programming skills and experience in OO languages (Java, etc.)
  • Strong skills in CSS with the ability to translate UI/UX designs and wireframes into high fidelity user interfaces
  • Proven experience applying domain driven design to build complex business applications
  • In-depth knowledge of relational and columnar SQL databases, including database design
  • Experience in REST and/or GraphQL

Responsibilities

  • Design & develop data management tools to curate our most important data sets, models, and processes
  • Contribute to an open-source technology - https://github.com/finos/legend
  • optimizing data access and delivery
  • enabling core access controls via well-defined security paradigms
  • building UIs to enable data visualization/analytics/discovery/management
  • engaging with the product team to ensure the firm’s data needs are met
  • react quickly to new demands by rapidly evolving our data solutions

Other

  • A bachelor’s or master’s degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)
  • 3+ years of relevant work experience in a team-focused environment
  • Comfort with Agile operating models (practical experience of Scrum / Kanban)
  • General knowledge of business processes, data flows and the quantitative models that generate or consume data
  • Excellent communications skills and the ability to work with subject matter experts to extract critical business concepts