Junior Data Engineer - TxB - Engineering

Location(s) US-NY-New York
Job ID
Schedule Type
Full Time
Business Unit
Corporate Cash Management
Employment Type



Our division works on some of the most complex financial challenges and transactions in the market today. Whether advising on a merger, providing financial solutions for an acquisition, or structuring an initial public offering, we handle projects that help clients at major milestones. We work with corporations, pension funds, financial sponsors, and governments and are team of strong analytical thinkers, who have a passion for producing out-of-the-box ideas.




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 strategists 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.


The Role:

 As part of our global team you will work on backend components comprising the Data Platform. Your role includes development, automated testing and rollout of Java and Python services that inter-operate with Airflow, Flink, Kafka, various AWS services, as well as vendor and external systems.


Services like liquidity analytics, billing, client onboarding, reporting and others rely on the data platform. Accurate, granular, complete and timely data is a key differentiator and competitive advantage in the market place. We expect a successful candidate to have excellent communication skills, deliver high quality software and to be passionate about cutting edge data engineering.


Basic Qualifications:

  • Minimum 3 years of experience building distributed systems in a scale-out micro-service architecture using Java or Python.
  • Minimum 1 year production experience with Kafka, Kinesis or equivalent as a Data Bus / Work Queue
  • S. or higher in Computer Science (or equivalent work experience)
  • Comfort with Agile operating models that emphasize automated testing

Strong interpersonal and communication skills Energetic, self-directed, and self-motivated


Preferred Qualifications:

  • Experience with Apache Flink, Apache Airflow
  • Experience with AWS

Experience in Financial Services or Fintech


The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.

© The Goldman Sachs Group, Inc., 2020. All rights reserved Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet.