Data Engineering - Master Data Architecture - Software Engineer - Associate - Dallas

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.

Within Data Engineering, we focus on offering a comprehensive data platform, Legend, which we have made available as an open-source product. Legend includes a full data modeling environment, as well as the execution of data access and controls, and a vast set of value-add products which allow our business users to operate more efficiently.

Leveraging our own Legend offering, our engineers build efficient data solutions that source, curate, and distribute critical data to our businesses, including financial product, pricing, transaction, and client reference data. Our engineers collaborate closely with the business to design and curate business-specific data models, and to transform and distribute data for optimal storage and retrieval.

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.

As a Full-stack Software Engineer on the Data Engineering team, you will be responsible for helping improve the Legend data platform, our curated data offerings, and how the business uses data. We tackle some of the most complex engineering problems across distributed software development, optimizing data access and delivery, enabling core access controls via well-defined security paradigms, building UIs to enable data visualization, using machine learning to curate data, or engaging with businesses to ensure their data needs are met, and we react quickly to new demands by rapidly evolving our data solutions.

How You Will Fulfill York Potential

• Design & develop modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficiencies
• Contribute to an open-source technology -
• Drive adoption of cloud technology for data processing and warehousing
• Engage with data consumers and producers in order to design appropriate models to suit enable the business

Relevant Technologies : Java, Python, AWS, React

Basic Qualifications

Preferred Qualifications