What We Do At Goldman Sachs, our Engineers don't just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering, which is comprised of core and business-aligned teams, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here. About Data Engineering

Data plays a critical role in every facet of the Goldman Sachs business. The Data Engineering group is at the core of that offering, focusing on providing the platform, processes, and governance, for enabling the availability of clean, organized, and impactful data to scale, streamline, and empower our core businesses.

Client Data Engineering sits at the intersection of data management and business enablement within Goldman Sachs' Data Engineering group. We architect, develop, and maintain enterprise solutions for client data management, ensuring the highest standards of data quality, consistency, and accessibility across the firm.

Our team is spearheading a strategic modernization initiative to transform legacy systems into a cutting-edge model-driven data ecosystem powered by Legend, our open-source data modeling platform. Operating within an agile framework, we leverage enterprise-grade technologies to deliver robust data solutions that drive business value. Your Impact

Client Data Engineering is seeking an exceptional Software Engineer to join our dynamic team. The ideal candidate will possess strong technical expertise in data management systems, a passion for architectural design, and the ability to translate complex business requirements into scalable technical solutions. You will play a pivotal role in advancing our client data strategy, driving technology transformation initiatives, and developing enterprise applications that enable data-driven decision making across the organization. How You Will Fulfill Your Potential 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 Relevant Technologies : Java, Rest, GraphQL, SQL

Basic Qualifications 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 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 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 Commitment to delivering high-quality, maintainable code Preferred Qualifications Financial Services industry experience, particularly in client data domains Hands-on experience with the Legend/Pure data modeling ecosystem Experience with cloud-native application development and deployment