Data Engineer — Enterprise Planning & AI Platforms

Goldman Sachs; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Goldman Sachs is seeking a Data Engineer in New York to design, develop, and maintain data solutions across the full software lifecycle. You will build scalable data pipelines and robust services powering financial planning, expense management, and risk platforms.

The role requires 3+ years of experience with Java/Python, Pandas/Numpy, PySpark, and familiarity with AI tools. You will collaborate globally and take ownership of features within a dynamic, cloud-native environment.

Qualifications

• Bachelor's or master's degree in CS, CE, or data engineering.
• 3+ years of experience with Java and Python to solve data science problems.
• Experience with Pandas, NumPy, PySpark, TensorFlow/PyTorch for scalable data pipelines and analytics.
• Strong analytical and problem-solving skills and knowledge of algorithms and data structures.
• Familiarity with AI tools for software development and LLM-based productivity tools.
• Foundational understanding of AI, agentic systems, LLMs, prompt engineering, and RAG concepts.
• Comfortable with technical ownership and working in a global team.

Responsibilities

• Design, develop, and maintain data solutions across the full software lifecycle.
• Build scalable data pipelines and robust services powering planning and risk platforms.
• Leverage AI tools to accelerate development and improve code quality and platform capabilities.
• Collaborate globally with sponsors, users, and engineers to meet complex requirements.
• Participate in code reviews to ensure quality and maintainability.
• Take ownership of features and drive delivery within a global team.

Skills

Java

Python

Pandas/Numpy

PySpark

LLM tools

AI tooling

Education

Bachelor's or Master's in CS/CE/Data Eng

Tools

ElasticSearch

OpenSearch

LangChain

Cloud platforms

Job description

Goldman Sachs is seeking a Data Engineer in New York to design, develop, and maintain data solutions across the full software lifecycle. You will build scalable data pipelines and robust services powering financial planning, expense management, and risk platforms.

The role requires 3+ years of experience with Java/Python, Pandas/Numpy, PySpark, and familiarity with AI tools. You will collaborate globally and take ownership of features within a dynamic, cloud-native environment.