The Goldman Sachs Group, Inc

Corporate Planning & Management, Data Engineering, New York, Associate

The Goldman Sachs Group, Inc$90K — $130K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or master's degree in Computer Science, Data Engineering, or related field.
  • 3+ years of programming experience in languages like Java and Python.
  • Experience with data science libraries (Pandas, NumPy, PySpark, TensorFlow/PyTorch) for scalable data solutions.
  • Strong analytical skills with a focus on algorithms, data structures, and software design.
  • Familiarity with AI tools for software development, including code review tools.
  • Understanding of AI concepts like large language models and retrieval-augmented generation.
  • Experienced in managing multiple stakeholders and collaborating in a global environment.

Responsibilities

  • Design, develop, and maintain data software solutions throughout the software lifecycle.
  • Build responsive user experiences and robust data services for financial platforms.
  • Leverage AI techniques to improve development speed and code quality.
  • Create and maintain knowledge graphs and RAG systems for data retrieval.
  • Establish frameworks for AI governance, ensuring logging and auditability.
  • Collaborate with teams globally to deliver solutions meeting complex business needs.
  • Participate in code reviews to uphold high quality and engineering standards.

Benefits

  • Collaborative work environment in a global team setting.
  • Opportunity to work with cutting-edge AI and ML technologies.
  • Continuous learning and advancement in AI/ML practices.
  • Exposure to financial platform development with a focus on risk and planning.
  • Potential for professional growth in data engineering and software development.
Full Job Description
Job Description

As a Data Engineer on our team, you will:
  • Design, develop, and maintain software and data solutions across the entire software lifecycle from requirements gathering and architecture through implementation, testing and deployment
  • Build responsive, intuitive experiences and robust services that power financial planning, expense management, and risk platforms
  • Leverage AI tools and techniques (e.g., code-generation assistants, LLM-powered automation, prompt engineering, Spec-Driven Development) to accelerate development, improve code quality, and enhance platform capabilities
    • Build and maintain knowledge graph and RAG systems to enable document and data retrieval, querying and searching
    • Establish robust governance frameworks including logging, explainability, and auditability to ensure AI quality and reliability
  • Collaborate globally with sponsors, users, and engineering colleagues across multiple divisions to create end-to-end solutions that meet complex business requirements
  • Participate in code reviews to ensure quality, maintainability, and adherence to engineering best practices
  • Take technical ownership of features and components, managing multiple stakeholders and driving delivery within a global team
  • Stay current with the latest advancements in AI/ML platforms, tools, and software engineering practices to continuously improve our solutions


QUALIFICATIONS

Required
  • Bachelor's or master's degree in Computer Science, Computer Engineering, Data Engineering or a similar field of study.
  • 3+ years of proficiency in using programming languages (Java, Python etc) to solve data science problems.
  • Data Science & Engineering - experience using industry-standard libraries (e.g., Pandas, NumPy, PySpark, TensorFlow/PyTorch) to build scalable data pipelines, perform data modeling, and enable enterprise insights on large, complex datasets.
  • Strong analytical and problem-solving skills - experience with algorithms, data structures, and software design
  • Familiarity in utilizing AI tools for software development (e.g., AI-assisted coding, code review tools, LLM-based productivity tools)
  • Foundational understanding of AI and agentic systems - familiarity with concepts such as large language models, prompt engineering, retrieval-augmented generation (RAG) etc.
  • Comfortable with technical ownership, managing multiple stakeholders, and working as part of a global team

Preferred - Experience That Can Set You Apart
  • GenAI & Intelligent Data Retrieval using vector databases, embedding models, and agentic frameworks (e.g., LangChain) - to enable intelligent querying and synthesis of insights across large enterprise data assets.


  • Experience with Distributed Databases & Search Platforms- building and optimizing scalable, distributed data systems (e.g ElasticSearch, OpenSearch) with a focus on indexing, query performance, and real-time data retrieval; familiarity with search relevance tuning, vectors and embeddings across large datasets.


  • Advanced Data Analytics & Data Science experience applying data science methodologies - including statistical analysis, predictive modeling, and knowledge graphs - across diverse data types.
  • Familiarity with MLOps practices including CI/CD for ML, model deployment, and monitoring
  • Knowledge of cloud-native solutions (preferably AWS)
  • Knowledge of the financial industry - corporate planning, expense management, or risk functions

About The Goldman Sachs Group, Inc

The Goldman Sachs Group, Inc. provides investment banking, securities, and investment management services, as well as financial services to corporations, financial institutions, governments, and high-net-worth individuals worldwide. Its Investment Banking segment offers financial advisory services, including advisory assignments concerning mergers and acquisitions, divestitures, corporate defense, risk management, and restructurings and spin-offs; and underwriting services comprising public offerings and private placements of a range of securities, loans, and other financial instruments, and derivative transactions. The company’s Institutional Client Services segment provides client execution services, such as fixed income, currency, and commodities client execution related to making markets in interest rate products, credit products, mortgages, currencies, and commodities; and equities related to making markets in equity products, as well as executes and clears institutional client transactions on stock, options, and futures exchanges. This segment also engages in the securities services business providing financing, securities lending, and other brokerage services to institutional clients, including hedge funds, mutual funds, pension funds, and foundations. Its Investing and Lending segment originates longer-term loans; and invests in debt securities, loans, public and private equity securities, real estate, consolidated investment entities, distressed assets, currencies, commodities, and power generation facilities. The company’s investment management segment provides investment products and services, as well as offers wealth advisory services, including portfolio management and financial counseling, and brokerage and other transaction services.

The Goldman Sachs Group, Inc. Careers

Join the prestigious team at The Goldman Sachs Group, Inc., a global leader in finance and investments, and propel your career to new heights. Our firm is renowned for its commitment to excellence, innovation, and leadership in the financial sector.

Work You’ll Do

At Goldman Sachs, you will be part of a dynamic environment that fosters growth, diversity, and professional development. Engage in transformative projects that redefine the landscape of global finance, driven by a culture of high performance and continuous improvement.

Lead with Innovation and Leadership

Step into a role where your skills will be honed and your leadership capabilities enhanced. The Goldman Sachs Group, Inc. is at the forefront of merging financial expertise with technological innovation, creating a platform for you to lead impactful initiatives.

Join Our Diverse and Inclusive Team

Diversity and inclusion are at the core of our company culture. With employees from various backgrounds, Goldman Sachs thrives on the rich ideas and perspectives that this diversity brings. Here, every team member’s contribution is valued, and every voice is heard.

Explore Job Opportunities and Internships

Whether you’re seeking full-time employment or looking into internship opportunities, Goldman Sachs offers a range of positions that cater to different skills, experiences, and career aspirations. From analyst to executive positions, discover how you can contribute to our legacy of success.

Networking and Professional Growth

Goldman Sachs is not just a workplace. It is a community where you can build lasting relationships with colleagues and industry leaders. Our networking events, mentorship programs, and professional groups foster connections that can accelerate your career trajectory.

Benefits and Career Development

Invest in your future with Goldman Sachs’ unparalleled employee benefits and career development programs. From comprehensive health benefits to personalized career coaching and leadership training, we ensure that our team is equipped for success, both professionally and personally.

Prepare for Your Future

Ready to take the next step? Prepare your resume, sharpen your interview skills, and explore the vast array of job opportunities at The Goldman Sachs Group, Inc. Our hiring process is designed to identify and nurture talent, helping you to achieve your career goals.

Stay Connected

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Join The Goldman Sachs Group, Inc.

Embark on a rewarding journey with The Goldman Sachs Group, Inc. where your potential is limitless. Explore positions, read about our company culture, and apply today to become part of a team that values growth, leadership, and innovation.

SEARCH GOLDMAN SACHS JOBS

READ CAREERS BLOG

At The Goldman Sachs Group, Inc., your career is just the beginning – it’s an opportunity to excel and lead in the global financial industry. Join us and make your mark!
Learn more about The Goldman Sachs Group, Inc
Size
45,100 employees
Market Cap
$115.8 billion
Industry
Net Income
$9.4 billion
Founded
1869
5 Year Trend
+11.3%
Revenue
$53.4 billion
NASDAQ

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