Data Engineering - Core Data Platform - Software Engineer - Associate - Dallas

Data Engineering - Core Data Platform - Software Engineer - Associate - Dallas

Join to apply for the Data Engineering - Core Data Platform - Software Engineer - Associate - Dallas role at Goldman Sachs

At Goldman Sachs, our Engineers don’t just make things – we make things possible. We connect people and capital with ideas, solve the most challenging engineering problems for our clients, and build massively scalable software and systems, architect low‑latency infrastructure solutions, guard against cyber threats, and leverage machine learning alongside financial engineering to turn data into action. We create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

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

Data plays a critical role in every facet of the Goldman Sachs business. The Data Engineering group focuses on provisioning a comprehensive data platform, Legend, available as an open‑source product. Legend includes a full data‑modeling environment, execution of data access and controls, and a vast set of value‑add products that allow business users to operate more efficiently. Engineers use Legend to build efficient data solutions that source, curate, and distribute critical data to our businesses.

Goldman Sachs Engineers are innovators and problem‑solvers. We look for creative collaborators who evolve, adapt to change, and thrive in a fast‑paced global environment.

• Design and develop data management tools to curate our most important data sets, models, and processes.
• Contribute to our open‑source technology at

Java, CSS, React

• Bachelor’s or master’s degree in a computational field (Computer Science, Applied Mathematics, Engineering, or a related quantitative discipline).
• 3+ years of experience with UX frameworks (React/Angular, Type Script is a plus).
• 3+ years of relevant work experience in a team‑focused environment.
• 3+ years of experience using object‑oriented languages.
• 3+ years of experience in functional programming languages.li>
• Strong object‑oriented design and programming skills in languages such as Java.
• 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 Graph
  
  QL.
• Comfort with Agile operating models (Scrum/Kanban).
• General knowledge of business processes, data flows, and quantitative models that generate or consume data.
• Excellent communication skills and the ability to work with subject matter experts to extract critical business concepts.
• Independent thinker who is willing to engage, challenge, and learn.
• Ability to stay commercially focused and to always push for quantifiable commercial impact.
• Strong work ethic, a sense of ownership and urgency.
• Strong analytical and problem‑solving skills.
• Ability to establish trusted partnerships with key contacts and users across business and engineering teams.

• Financial Services industry experience.
• Experience with Pure/Legend.
• Working knowledge of open‑source tools such as AWS Lambda, Prometheus.
• Expertise in data warehousing concepts (e.g., star schema, entitlement implementations, SQL vs No
  
  SQL modeling, milestoning, indexing, partitioning).
• Deep understanding of multidimensionality of data, data curation and data quality, such as traceability, security, performance latency and correctness across supply and demand processes.
• Experience in distributed system design.