Data Engineering - Market Data Engineering - Software Engineer - Associate - Dallas

Goldman Sachs • Dallas, TX

133d

About The Position

Market Data Engineering is part of the firm's Data Engineering group handling global access to financial market data sourced both internally and externally from the firm. The team is currently undertaking a project to revolutionize data ingestion, curation and distribution and is looking for talented engineers to ensure delivery success! Market Data Engineering Team is a seeking a skilled Senior Software Engineer who has a strong passion for design, development, and the ability to extract meaningful signals from data. A successful candidate will be able to contribute to the team's long term market data strategy development, lead initiatives that will shape our data architecture and build products that will generate insights for our internal clients.

Requirements

• A bachelor's or master's degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)
• 2-3+ years of experience in distributed system design
• 3-5+ years of experience using Java
• 3-5+ years of experience developing restful web services using Spring/Spring Boot
• 3-5+ years of experience with Data structures, time and space complexity, object-oriented design and handling multi-threaded systems.
• Comfort with Agile operating models (practical experience of Scrum / Kanban)
• Excellent communications skills and the ability to work with subject matter experts to extract critical business concepts.
• Strong analytical and problem-solving skills
• Strong work ethic, a sense of ownership

Nice To Haves

• Financial Services industry experience
• Working with Relational Databases, such as Sybase ASE, Sybase IQ, and DB2

Responsibilities

• Design, develop, test and support software components related to large scale applications that can process and distribute large volumes of high frequency real-time market data scaling millions of messages to/from internal and external clients.
• Push high quality, modular, secure, testable, and maintainable code related to various components of the real-time market data.
• Handle large amounts of structured and unstructured data and implementing solutions to extract meaningful signals out of it.
• Work with a global engineering team and participate in design discussions, stand-ups across multiple regions.

What This Job Offers

• Career Level: Mid Level
• Industry: Securities, Commodity Contracts, and Other Financial Investments and Related Activities
• Education Level: Bachelor's degree