Software Engineering

Asset & Wealth Management - Software Engineer - Associate - Dallas  Dallas, Texas, United States

Opportunity Overview  CORPORATE TITLE Associate language OFFICE LOCATION(S) Dallas assignment JOB FUNCTION Software Engineering  DIVISION Asset & Wealth Management

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.

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast‑paced global environment.

Across Asset and Wealth Management (AWM), Goldman Sachs helps empower clients and customers around the world to reach their financial goals. Our advisor‑led wealth management businesses provide financial planning, investment management, banking and comprehensive advice to a wide range of clients, including ultra‑high net worth and high net worth individuals, as well as family offices, foundations and endowments, and corporations and their employees.

Across AWM, our growth is driven by a relentless focus on our people, our clients and leading‑edge technology, data and design.

Goldman Sachs Private Wealth Management (PWM) specializes in creating comprehensive wealth management plans for high‑net‑worth individuals and families, as well as select institutions, including foundations and endowments. PWM Teams work one‑on‑one with clients to advise and deliver customized strategies drawn from our deep investment experience, diverse wealth management capabilities and global reach. Our Private Wealth Advisors (PWAs) deliver an unparalleled investment platform inclusive of the full product and service offerings of Goldman Sachs and beyond, which may include tax and estate planning, philanthropic planning and private banking and lending services.

As client needs evolve, this close relationship allows the team to offer complementary services and new opportunities by leveraging the resources of Goldman Sachs and beyond.

The PWM Data Engineering team is responsible for delivering the next‑gen data platform and services and help us scale to ever increasing needs of the business. We are looking for strong java developers with good understanding of database concepts to join our team to help in this strategic build‑out. Our team of engineers build solutions to the most complex problems and have the opportunity to work at the forefront of technology innovation alongside industry leaders and make significant contributions to the field.

Software is engineered in a fast‑paced, dynamic environment, adapting to market and customer needs to deliver robust solutions in an ever‑changing business environment. PWM Technology builds on top of cutting‑edge in‑house platforms complimented with a strong focus on leveraging open‑source solutions. Engineer tools and services that bring unification and scale to Wealth Management division, providing data solutions that span Sales, Client Servicing, Research, Portfolio Management and Trading.

• Data Technologies:
  Kafka, Spark, Hadoop, Presto, Alloy – a data management and data governance platform
• Programming
  
  Languages:
  
  Java, Scala, Scripting
• Database Technologies:
  Single Store (MemSQL), Mongo
  
  DB, Elasticsearch, Cassandra, Sybase IQ / ASE
• Micro Service Technologies: REST, Spring Boot, Jersey
• Build and CI/CD Technologies:
  Gradle, Jenkins, Git Lab, SVN
• Cloud Technologies: AWS, Kubernetes
• Exposure to various data management and modeling tools for data storage, discovery, curation, retrieval, analysis, and sharing.
• Buil…