Asset & Wealth Management - Data Engineer - Associate

What we do

At Goldman Sachs, our Engineers don’t just make things – we make things possible. We change the world by connecting people and capital with ideas and solve the most challenging and pressing engineering problems for our clients. Our engineering teams build 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.

Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business. Our dynamic environment requires innovative strategic thinking. Want to push the limit of digital possibilities? Start here.

Client Solutions Engineering teams build transformative cutting‑edge digital platforms and processes that form the core of our business across liquidity, marketing and sales. Our growth is driven by a relentless focus on our people, our clients and customers, and leading‑edge technology, data and design principals.

As an engineer on the Client Solutions team, you will have the opportunity to work at the forefront of technological innovation alongside industry leaders and make significant contributions to the field. You will be one of the main drivers helping evolve our product strategy as we continue to ensure we are a market leader. You will be asked to come up with creative and commercial solutions to a variety of problems, and we will rely on your leadership when executing those choices.

We are looking for engineers who can drive a whole feature from design to execution, as well as deep dive into why an API is taking half a second longer than it should. Our team has a large variety of problems to tackle across the entire stack.

The Client Solutions Group is looking for a data engineer to assist in the buildout and scaling of the business globally using cloud‑based hybrid Big Data solutions to provide Sales and Marketing teams seamless experience in achieving their objectives through productivity tools, easy access to analytics and insights along with real‑time tracking towards their goals.

• 3-5 years of relevant work experience in a team‑focused environment
• Have relevant Big Data experience using a modern processing frameworks (Hadoop, Spark, Airflow, Flink) and programming languages (Java/Scala/Python)
• Experience in REST and/or GraphQL
• Experience in working with data‑bases – No
  
  SQL and/or Relational.
• In‑depth knowledge of relational and columnar SQL databases, including database design
• BS. or higher in Computer Science (or equivalent work experience)
• Ability to stay commercially focused and to always push for quantifiable commercial impact
• Strong work ethic, a sense of ownership and urgency
• Strong analytical and problem solving skills
• Ability to collaborate effectively across global teams and communicate complex ideas in a simple manner

• Asset management / front office / sales domain knowledge
• Experience with AWS
• Experience with Snowflake

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  .

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

The expected base salary for this New York, New York, United…