Explore Career Opportunities with GSV’s world-class partners

Powered By

Nu Advisory Partners

Software Engineer, Transaction Banking, Data & Analytics Platform

Goldman Sachs

Goldman Sachs

Software Engineering, Data Science
Dallas, TX, USA
Posted on Thursday, June 6, 2024

Job Description

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.

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. Want to push the limit of digital possibilities? Start here.

Transaction Banking (TxB) aims to bring innovative solutions to traditional banking and lending activities. We are a global team of lenders, investors, risk managers, skilled marketers, web experts and banking specialists. We provide a suite of solutions to help our customers meet their financial goals. We make direct investments in and manage risk for a portfolio of corporate loans and securities. We help transform distressed communities through investments and loans of private capital.

Within TxB, Data & Analytics Platform is a global engineering team with pods across New York, London, Bengaluru, and Dallas. We are responsible for detailed technical design and development of data-intensive capabilities using existing and emerging technologies.

Who We Look For

As part of our global team you will work on the data platform reporting to a Data Engineering Lead. Your role includes development, test, and rollout of data platform features. Our platform is made of Java and Python services that inter-operate with Airflow, Flink, Kafka, GraphQL, REST, various AWS services, as well as vendor and external systems.

You will be able to contribute to our vision, roadmap, and world-class engineering culture, while integrating business value and client experience within the team.

This initiative is of critical importance to the success of the organization and our roadmap. Services like liquidity analytics, billing, client onboarding, reporting and others will rely on the data platform. Accurate, granular, complete and timely data is a key differentiator and competitive advantage in the market.

We expect a successful candidate to have excellent communication skills, deliver high quality software and to be passionate about cutting edge data engineering.


  • Develop full stack applications with due consideration to security, design, validation and SDLC framework
  • Collaborate with product managers, business operations, engineers to define product requirements, objectives
  • Participate in system design consulting, platform management
  • Develop resilient, scalable and secure modules using cloud native services
  • Manage multiple tasks and use sound judgment when prioritizing
  • Update and maintain documentation for team processes, best practices and software runbooks
  • Must be passionate about technology and engineering
  • Exceptional analytical skills and ability to apply knowledge and experience in decision-making to arrive at creative and commercial solutions


  • 2+ years of relevant professional experience using a modern programming language (preferably Java)
  • BS degree in Computer Science or related technical field involving programming or systems engineering.
  • Proficiency in development with Java, springboot, REST APIs
  • Experience engineering solutions with distributed tracing, Performance testing, Authentication, Authorization
  • Proficiency with algorithms, data structures and software design
  • Experience with UNIX operating systems internals, infrastructure as code-Terraform and networking
  • Proven to work independently in a fast paced and often multi-direction work environment


  • Experience with development and design of distributed systems
  • Experience with SQL databases (PostgreSQL/Oracle) and nosql (Dynamo/Mongo DB)
  • Experience in financial services specifically corporate cash management desirable
  • Experience with AWS services - Amazon MSK/Apache kafka, ECS/kubernetes, S3, IAM, AWS XRay
  • Comfort with Agile operating models (practical experience of Scrum / Kanban)


At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

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 by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2023. All rights reserved.

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