Data Engineering - Vendor Data Products - Software Engineer - Associate - Dallas
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Location : Dallas, Texas, United States
Opportunity Overview
Corporate Title : Associate
Office Location : Dallas
Job Function : Software Engineering
Division : Engineering Division
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.
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.
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 and our curated data offerings.
How You Will Fulfill Your Potential
- Design & develop modern data management tools to curate our most important data sets, models and processes
- Drive adoption of cloud technology for data processing and warehousing
- Engage with data consumers and producers to design appropriate models to suit the business
Basic Qualifications
- A Bachelor or Master degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)
- 2-7+ years of relevant work experience in a team-focused environment
- Experience in distributed system design
- Experience using Java, Python, and / or React
- Strong object-oriented design and programming skills in OO languages (Java)
- Strong experience with cloud infrastructure (AWS, Azure, or GCP)
- Proven experience applying domain driven design to build complex business applications
- Deep understanding of data curation and data quality
- In-depth knowledge of relational and columnar SQL databases
- Experience in REST and / or GraphQL
- Comfort with Agile operating models (practical experience of Scrum / Kanban)
- Excellent communication skills
- Strong analytical and problem solving skills
Preferred Qualifications
- Financial Services industry experience
- Experience with Pure / Legend
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow.
We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond.
Goldman Sachs is an equal employment / affirmative action employer Female / Minority / Disability / Veteran / Sexual Orientation / Gender Identity.
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