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 our Technology Division and global strategist groups, 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.

Who We Look For

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.

Asset & Wealth Management Engineering

Across Wealth Management, 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. Our consumer business provides digital solutions for customers to better spend, borrow, invest, and save. Across Wealth Management, our growth is driven by a relentless focus on our people, our clients and customers, and leading-edge technology, data and design

How You Will Fulfill Your Potential

We are looking for a skilled and motivated data engineer to design, build, and maintain robust, scalable, and efficient data pipelines and infrastructure for our analytics platform.

• Design & develop modern data management tools to curate wealth management data sets, models and processes, while identifying areas for process automation and further efficiencies.
• Design and implement complex multi-dimensional data models that support reporting and analytics.
• Create and optimize complex SQL queries, stored procedures, and functions to extract, transform, and load data from diverse data sources into the cloud-based data warehouses.
• Build and maintain robust data pipelines using modern programming languages such as Python, Scala, or Java.
• Collaborate with business stakeholders to gather requirements, understand data needs, and transform them into actionable insights that drive business decisions.
• Develop and maintain scalable and efficient dashboards, reports, and data visualizations that effectively present complex data in a user-friendly manner.
• Perform data profiling, cleansing, and validation to ensure data accuracy, completeness, and consistency.
• Provide technical support and troubleshooting data pipelines and transformations, resolving issues and ensuring system availability.
• Stay up to date with emerging technologies, industry trends, and business intelligence and data analytics best practices.

Skills And Experience We Are Looking For

• Bachelor’s or Master’s degree in computer science, Information Systems, or a related field.
• 3 to 5 years of hands-on experience in a Data Engineer, ETL Developer, or similar role, with a proven track record of building and maintaining data solutions.
• Solid understanding of ETL concepts, methodologies, and tools.
• Proficiency in working with relational databases and writing complex SQL queries
• Strong understanding of database concepts, data warehousing, and dimensional modeling.
• Solid programming skills in Java, Scala, Python (or others) for data processing and integration tasks.
• Strong analytical skills with the ability to gather, analyze, and interpret complex data sets.
• Excellent problem-solving abilities and attention to detail.
• Strong communication and collaboration skills to work effectively with cross-functional teams.
• Ability to work in a fast-paced environment, manage multiple priorities, and meet project deadlines.

Preferred Qualifications

• Experience in the financial industry or a related field.
• Familiarity with cloud-based data warehouses (e.g., Snowflake, GBQ).
• Familiarity with cloud-based data pipeline services (e.g AWS Glue) or distributed processing frameworks like Apache Spark.
• Familiarity with data visualization tools (e.g., Qlik, Tableau, Power BI).

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.