Data Engineer for AI-Powered Financial Planning

Goldman Sachs Group, Inc.; New York (NY); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Access to modern cloud-native architectures

AI-driven developer productivity tools

Collaborative global team environment

Job summary

Goldman Sachs Group, Inc. is seeking a Data Engineer in New York to develop and maintain software and data solutions, directly impacting the firm's financial planning and operational resilience.

The role requires expertise in programming, data science, and AI tools, offering opportunities to work with modern architectures in a collaborative environment. Candidates should possess a relevant degree and at least three years of experience.

Qualifications

• 3+ years of proficiency in using programming languages (Java, Python) to solve data science problems.
• Experience using industry-standard data libraries (e.g., Pandas, NumPy, PySpark) for large datasets.
• Familiarity with AI-assisted coding and LLM-based productivity tools.

Responsibilities

• Design, develop, and maintain software and data solutions throughout the software lifecycle.
• Build responsive experiences for financial planning and risk management.
• Collaborate globally with teams to meet complex business requirements.

Skills

Java

Python

Data Science

AI tools

Data Engineering

Problem-solving

Education

Bachelor's or master's degree in Computer Science or a similar field

Tools

TensorFlow

Pandas

ElasticSearch

AWS

Job description

Goldman Sachs Group, Inc. is seeking a Data Engineer in New York to develop and maintain software and data solutions, directly impacting the firm's financial planning and operational resilience.

The role requires expertise in programming, data science, and AI tools, offering opportunities to work with modern architectures in a collaborative environment. Candidates should possess a relevant degree and at least three years of experience.