JobsSoftware Engineering - Data, Lakehouse and AI Data Platform Engineer - Associate - New York
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Software Engineering - Data, Lakehouse and AI Data Platform Engineer - Associate - New York

Goldman Sachs

Location

New York, NY

Type

Full-time

Posted

5/20/2026

Compensation

$115,000 - $180,000 USD

Undergraduate Entry-Level
Master's Entry-Level
Approval 98.3%·Filings 1,746·New hires 747·
💎 Strong Sponsor
·FY 2025

Job description

The Data Engineer role in the Lakehouse and AI Data Platform team focuses on designing, building, testing, and supporting data pipelines and curated datasets. This position is integral to developing a modern data platform that enhances analytics and operational decision-making. Engineers will work with various data technologies and collaborate closely with users to ensure data products are reliable and fit for purpose. The role is suited for those who enjoy solving practical delivery problems in a team environment and are eager to grow within the firm.

Requirements

  • 0-2+ 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.
  • Familiarity with software engineering fundamentals, including version control and CI/CD practices.
  • Experience working with distributed data processing frameworks such as Apache Spark.

Responsibilities

  • 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.
  • Refactor or modernize existing data flows to improve reliability and performance.

Benefits

  • 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.

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