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 a modern data platform. The role emphasizes the development of reliable, scalable data products that support analytics and AI use cases. You will work closely with engineers and data consumers to ensure high-quality outcomes and contribute to the overall functionality of the platform. This position is ideal for engineers who are comfortable coding and solving practical delivery problems in a collaborative environment.

• 7-12+ years of experience in data engineering or a related field.
• 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 and optimization.
• Experience with distributed data processing frameworks such as Apache Spark.

• 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 and AI use cases.
• Implement controls to validate the completeness, accuracy, and consistency of data across pipelines.
• Work closely with engineers and data consumers to deliver agreed outcomes to time and quality expectations.
• 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.