Data, Lakehouse and AI Data Platform Engineer, Associate
Goldman Sachs
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This listing doesn't post a salary. Most similar roles pay $161,300–$217,600.
Based on 240 similar postings.
Employer
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
As a Data Engineer in the Lakehouse and AI Data Platform team at Goldman Sachs, you will design, build, test, and support data pipelines and curated datasets on the firm’s modern data platform. Your responsibilities include developing robust data models, enhancing batch and streaming data pipelines using Python or Java, and ensuring data quality through validation and reconciliation processes. You will work with SQL, Apache Spark, Kafka, Snowflake, and other technologies to deliver scalable and reliable solutions that support analytics and operational decision-making. This role requires strong programming skills, familiarity with distributed data processing frameworks, and the ability to contribute to shared tooling for platform improvements. Ideal candidates are technically proficient, detail-oriented problem solvers who can work effectively in a fast-paced environment.
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