Jobs

Asset & Wealth Management - Data Engineer - Associate - New York
New York, New York, United States
·
On-site
·
Full-time
·
6d ago
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.
Who are we
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.
SKILLS AND EXPERIENCE WE ARE LOOKING FOR
- 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 – NoSQL 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
PREFERRED QUALIFICATIONS
- Asset management / front office / sales domain knowledge
- Experience with AWS
- Experience with Snowflake
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. 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 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.
Salary Range
The expected base salary for this New York, New York, United States-based position is $115000-$180000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.
Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available
to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.
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About Goldman Sachs

Goldman Sachs
PublicGoldman Sachs is a multinational investment bank and financial services company providing investment banking, securities, and investment management services. The firm serves corporations, financial institutions, governments, and individuals worldwide.
45,000+
Employees
Lower Manhattan
Headquarters
Reviews
2.6
10 reviews
Work Life Balance
1.8
Compensation
4.2
Culture
2.1
Career
2.9
Management
2.0
25%
Recommend to a Friend
Pros
High compensation and competitive salaries
Talented coworkers and good teamwork
Prestigious work environment
Cons
Poor work-life balance and long hours (70+ weekly)
Toxic and cutthroat competitive culture
High stress and burnout risk
Salary Ranges
21,066 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
6,923 reports
$112,993
total / year
Base
$97,759
Stock
-
Bonus
$15,234
$77,583
$166,892
Interview Experience
5 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 60%
Negative 40%
Interview Process
1
Application Review
2
Phone Screen/HireVue Video Interview
3
Superday/Panel Interview
4
Final Decision
Common Questions
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience
Case Study
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