Job Description

What We Do

At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.

What We Look For

Goldman Sachs Asset Management (GSAM) is one of the world’s leading investment managers. GSAM provides institutional and individual investors with investment and advisory solutions, with strategies spanning asset classes, industries, and geographies. We help our clients navigate today’s dynamic markets, and identify the opportunities that shape their portfolios and long-term investment goals. We extend these global capabilities to the world’s leading pension plans, sovereign wealth funds, central banks, insurance companies, financial institutions, endowments, foundations, individuals and family offices.

The Client Solutions Group is looking for a data engineer to assist in the buildout and scaling of the business globally using cloud based hybrid Big Data solutions to provide Sales and Marketing teams seamless experience in achieving their objectives through productivity tools, easy access to analytics and insights along withreal time tracking towards their goals.

Skills And Experience We Are Looking For

• 8+ years of relevant work experience in a team-focused environment
• Have relevant Big Data experience using a modern processing frameworks (Hadoop, Spark, Airflow, Flink) and programming languages (Java/Scala/Python)
• Experience in REST and/or GraphQL
• Experience in working with data-bases – NoSQL and/or Relational.
• In-depth knowledge of relational and columnar SQL databases, including database design
• BS. or higher in Computer Science (or equivalent work experience)
• 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 collaborate effectively across global teams and communicate complex ideas in a simple manner

Preferred Qualifications

• Asset management / front office / sales domain knowledge
• Experience with AWS
• Experience with Snowflake

Goldman Sachs Engineering Culture

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 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!

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.