This role pays less than
81%
of similar roles. Most pay
$159,375–$220,975
— the shaded band above.
At the midpoint, this role pays about
$148k
versus about
$190k
for comparable roles.
Based on 240 similar postings.
Employer
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.
As a Data Engineer in the Lakehouse and AI Data Platform team, you will design, build, test, and support data pipelines and curated datasets on the firm’s modern data platform. Your responsibilities include developing batch and streaming data pipelines using Python or Java, ensuring they are production-ready and well-tested. You’ll also create raw, refined, and curated datasets for analytics and AI use cases while applying sound data modeling principles to ensure accuracy and consistency. Additionally, you will implement data quality controls and contribute to shared tooling that enhances platform reliability. This role requires strong hands-on programming skills in Python or Java, proficiency with SQL, and familiarity with distributed data processing frameworks like Apache Spark. You’ll work within a modern tech stack including Snowflake, Databricks, and Kafka, contributing to the firm’s AI and analytics capabilities by building scalable and reliable data solutions.