Associate Corporate Planning & Management, Data Engineering

Goldman Sachs

Quick summary

Work type: On-site
Location: New York, NY
Posted: 1 day ago
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $188k

$126k most similar roles pay here $236k

This listing doesn't post a salary. Most similar roles pay $150,350–$225,588.

Based on 240 similar postings.

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About Goldman Sachs

Goldman Sachs is a leading global investment banking, securities, and investment management firm providing financial services to corporations, financial institutions, governments, and individuals.

Goldman Sachs currently has 187 open roles on FindRole.

Listed pay typically runs $130,000–$250,000 across 60 roles with salary data.

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At a glance

TL;DR · Associate Corporate Planning & Management, Data Engineering

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As a Data Engineer on the Corporate Planning & Management (CPM) Engineering team at Goldman Sachs, you will design, develop, and maintain software solutions that support financial planning, expense management, and risk platforms. Your day-to-day responsibilities include leveraging AI tools like code-generation assistants and large language models to accelerate development and enhance platform capabilities, while also collaborating globally with finance, procurement, product, and risk leaders to create end-to-end solutions. You will work with modern cloud-native architectures, distributed systems, and large-scale data pipelines using technologies such as Java, Python, Pandas, TensorFlow, and PySpark. The role requires strong analytical skills, experience in AI tools for software development, and a foundational understanding of agentic systems, making it ideal for those looking to solve complex business problems with cutting-edge technology in the financial industry.

Skills

Python Java Pandas NumPy PySpark TensorFlow PyTorch AI-assisted coding LLM-based productivity tools LangChain ElasticSearch OpenSearch MLOps CI/CD AWS

What you'll do

Design and develop software solutions for financial planning and risk management platforms.
Build data pipelines and robust services using AI tools to enhance platform capabilities.
Collaborate globally with cross-functional teams to create end-to-end business solutions.
Establish governance frameworks including logging, explainability, and auditability for AI systems.
Participate in code reviews to ensure adherence to engineering best practices.
Manage technical ownership of features and components across multiple stakeholders.

What we're looking for

Bachelor's or master's degree in Computer Science, Engineering, or Data Engineering.
3+ years of experience with programming languages like Java, Python for data science problems.
Experience using Pandas, NumPy, PySpark, TensorFlow/PyTorch to build scalable data pipelines and models.
Strong analytical skills and problem-solving abilities with algorithms and software design.
Familiarity with AI tools and techniques including large language models and prompt engineering.
Comfort managing technical ownership and multiple stakeholders in a global team setting.

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