Overview
On Site
Full Time
Skills
Banking
Machine Learning (ML)
Computational Finance
Strategic Thinking
Architectural Design
Pivotal
IT Transformation
Decision-making
Data Integrity
Distribution
Legacy Systems
Continuous Improvement
Process Automation
Python
Amazon Web Services
SQL
Computer Science
Applied Mathematics
Software Development
Object-Oriented Programming
Java
Database
Object-relational Mapping
Data Modeling
Extract
Transform
Load
RESTful
Service Design
Agile
Data Management
Communication
Collaboration
Analytical Skill
Problem Solving
Conflict Resolution
Financial Services
Pure Data
Modeling
Cloud Computing
Application Development
Investment Banking
Securities
Investment Management
Training And Development
Finance
Recruiting
Job Details
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.
Engineering, which is comprised of core and business-aligned teams, 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.
Your Impact
The ideal candidate will possess strong technical expertise in data management systems, a passion for architectural design, and the ability to translate complex business requirements into scalable technical solutions. You will play a pivotal role in advancing our data strategy, driving technology transformation initiatives, and developing enterprise applications that enable data-driven decision making across the organization.
How You Will Fulfill Your Potential
Relevant Technologies: Python, Java, AWS, KDB, InfluxDB, SQL
Basic Qualifications
Preferred Qualifications
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: ;br>
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
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 core and business-aligned teams, 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.
Your Impact
The ideal candidate will possess strong technical expertise in data management systems, a passion for architectural design, and the ability to translate complex business requirements into scalable technical solutions. You will play a pivotal role in advancing our data strategy, driving technology transformation initiatives, and developing enterprise applications that enable data-driven decision making across the organization.
How You Will Fulfill Your Potential
- Architect and implement enterprise-grade solutions for client data management, focusing on data integrity, integration, and distribution capabilities
- Drive technology modernization efforts by helping transition legacy systems to our next-generation data solution
- Develop sophisticated ETL processes to integrate, transform, and distribute mission-critical client information across business units
- Partner with business stakeholders to translate domain-specific requirements into robust data models and controls
- Contribute to continuous improvement initiatives within our agile delivery framework
- Design & develop modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficiencies
Relevant Technologies: Python, Java, AWS, KDB, InfluxDB, SQL
Basic Qualifications
- A bachelor's or master's degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)
- 3+ years of professional software development experience in enterprise environments
- Proficiency in object-oriented programming with demonstrated expertise in Java
- Strong database skills with experience in enterprise-grade ORM interactions
- Experience with data modeling methodologies and ETL pipeline development
- Familiarity with RESTful service design and implementation patterns
- Demonstrated success working within Agile delivery frameworks
- Understanding of enterprise data management principles and practices
- Exceptional communication skills with the ability to collaborate effectively with technical and non-technical stakeholders
- Analytical mindset with strong problem-solving capabilities
- Proactive self-starter with the ability to work both independently and as part of a team
- Commitment to delivering high-quality, maintainable code
Preferred Qualifications
- Financial Services industry experience, particularly in client data domains
- Hands-on experience with the Legend/Pure data modeling ecosystem
- Experience with cloud-native application development and deployment
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: ;br>
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
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.