Lakehouse & AI Data Platform Engineer

Goldman Sachs; New York (NY); On-site; USD 120,000 - 160,000; Full time

Job summary

Goldman Sachs is seeking a Data Engineer to join the Lakehouse and AI Data Platform team in New York. You will be responsible for designing, building, and supporting data pipelines that ensure data quality and reliability. The role emphasizes collaboration with engineering teams and requires strong programming skills in Python or Java and proficiency in SQL.

Candidates should have 7-12+ years of experience, along with a background in data engineering. This position offers the chance to work with modern technologies and make a significant impact across the firm.

Qualifications

• 7-12+ years of experience in data engineering.
• Strong quantitative skills or data engineering expertise.
• Ability to learn new tools and internal platforms quickly.
• Experience with distributed data processing frameworks.

Responsibilities

• Design and support data pipelines and curated datasets.
• Implement controls for data validation and reconciliation.
• Collaborate with engineers and data consumers.
• Contribute to shared tooling or framework components.

Skills

Programming in Python or Java

SQL proficiency

Data modeling and curation

Experience with Apache Spark

Education

Bachelor's or Master's degree in a relevant discipline

Tools

Apache Spark

Snowflake

Kafka

Kubernetes

Job description

Goldman Sachs is seeking a Data Engineer to join the Lakehouse and AI Data Platform team in New York. You will be responsible for designing, building, and supporting data pipelines that ensure data quality and reliability. The role emphasizes collaboration with engineering teams and requires strong programming skills in Python or Java and proficiency in SQL.

Candidates should have 7-12+ years of experience, along with a background in data engineering. This position offers the chance to work with modern technologies and make a significant impact across the firm.