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 capabilitiesDrive technology modernization efforts by helping transition legacy systems to our next-generation data solutionDevelop sophisticated ETL processes to integrate, transform, and distribute mission-critical client information across business unitsPartner with business stakeholders to translate domain-specific requirements into robust data models and controlsContribute 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 environmentsProficiency in object-oriented programming with demonstrated expertise in JavaStrong database skills with experience in enterprise-grade ORM interactionsExperience with data modeling methodologies and ETL pipeline developmentFamiliarity with RESTful service design and implementation patternsDemonstrated success working within Agile delivery frameworksUnderstanding of enterprise data management principles and practicesExceptional communication skills with the ability to collaborate effectively with technical and non-technical stakeholdersAnalytical mindset with strong problem-solving capabilitiesProactive self-starter with the ability to work both independently and as part of a teamCommitment to delivering high-quality, maintainable code

 

Preferred Qualifications

Financial Services industry experience, particularly in client data domainsHands-on experience with the Legend/Pure data modeling ecosystemExperience with cloud-native application development and deployment