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Data Engineer - Associate - Dallas - Global Banking & Markets

Goldman Sachs

Salary not specified
Jul 31, 2025
Dallas, TX, US
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Goldman Sachs is looking to advance its data strategy, drive technology transformation, and develop enterprise applications that enable data-driven decision making across the organization by solving complex engineering problems related to data management systems.

Requirements

  • Proficiency in object-oriented programming with demonstrated expertise in Java
  • Strong database skills with experience in enterprise-grade ORM interactions
  • Experience with data modeling methodologies and ETL pipeline development
  • Familiarity with RESTful service design and implementation patterns
  • Demonstrated success working within Agile delivery frameworks
  • Understanding of enterprise data management principles and practices
  • Experience with cloud-native application development and deployment

Responsibilities

  • Architect and implement enterprise-grade solutions for client data management, focusing on data integrity, integration, and distribution capabilities
  • Drive technology modernization efforts by helping transition legacy systems to our next-generation data solution
  • Develop sophisticated ETL processes to integrate, transform, and distribute mission-critical client information across business units
  • Partner with business stakeholders to translate domain-specific requirements into robust data models and controls
  • Contribute to continuous improvement initiatives within our agile delivery framework
  • Design & develop modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficiencies

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 professional software development experience in enterprise environments
  • Exceptional communication skills with the ability to collaborate effectively with technical and non-technical stakeholders
  • Analytical mindset with strong problem-solving capabilities
  • Proactive self-starter with the ability to work both independently and as part of a team