The Data Engineer role in the Lakehouse and AI Data Platform team at Goldman Sachs focuses on designing, building, testing, and supporting data pipelines and curated datasets. This position is integral to developing a modern data platform that enhances the firm's AI and analytics capabilities. Engineers will work on ingestion, transformation, modeling, optimization, and data quality to deliver reliable and scalable data products. The role is suited for those who are comfortable coding and solving practical delivery problems in a collaborative environment.

• Bachelor's or master's degree in a relevant discipline or equivalent practical experience.
• Strong hands-on programming experience in Python or Java.
• Good working knowledge of SQL, including troubleshooting, optimization, and data analysis.
• Familiarity with software engineering fundamentals, including version control, testing, and CI/CD practices.
• Experience building or supporting production data pipelines in a collaborative engineering environment.

• Build, enhance, and support batch and streaming data pipelines on the Lakehouse and AI data platform.
• Develop raw, refined, and curated datasets that support analytics, reporting, and AI use cases.
• Implement controls to validate completeness, accuracy, and consistency of data across pipelines and datasets.
• Work closely with engineers, platform teams, and data consumers to deliver agreed outcomes.
• Contribute to clear standards for testing, monitoring, and issue resolution.

• Employees at Goldman Sachs are often offered comprehensive benefits, including medical, dental, life and disability coverage, generous vacation and holidays, and robust wellness resources such as EAP counseling, medical advocacy, on-site/virtual health services, and fitness support. Financial perks typically include retirement savings programs, live financial education, education support, and wealth-creation opportunities through equity awards and select investment programs. Many locations also provide family benefits (childcare resources, parental and family leaves, adoption/surrogacy support) and flexible work options like part-time schedules, job sharing, telecommuting, and alternate hours.