2027 Data Engineer Summer Internship
About the role
Lazard is one of the world’s preeminent financial advisory and asset management firms, with a close, collaborative community of just over 3,000 professionals. The firm emphasizes continuous knowledge sharing, skill development, and relationship building, fostering an entrepreneurial culture with a flat structure that embraces individual differences. The Lazard AI and Data Group brings together data scientists, data engineers, AI engineers, and software engineers to develop advanced AI and data‑driven solutions that enhance decision‑making across Lazard’s Financial Advisory and Asset Management businesses. Operating as the firm’s internal innovation engine, the group identifies opportunities to improve business processes through technology and delivers end‑to‑end solutions—from concept and design through deployment, performance analysis, and continuous iteration. The Data Engineer Intern will work within this team, focusing on onboarding and modeling datasets on modern cloud data platforms to build reliable pipelines and high‑quality data layers that support analytics, reporting, and ML/AI workloads. Interns enjoy meaningful agency throughout the product‑development cycle, with direct interaction and rapid feedback loops from senior investment bankers and portfolio managers.
Responsibilities
- Onboard and model datasets on modern cloud data platforms.
- Deliver reliable pipelines and high‑quality data layers for analytics, reporting, and ML/AI workloads.
- Engage in the full product‑development cycle with direct interaction and rapid feedback from senior investment bankers and portfolio managers.
- Contribute to cloud‑focused innovation and continuous iteration of data solutions.
Requirements
- Ability to start internship June 7, 2027 and end August 13, 2027.
- Ability to be in New York City for the duration of the internship.
Qualifications
- Bachelor’s or advanced degree in Computer Science, Data Engineering, or a related field.
Skills
- Strong programming skills in Python and SQL.
- Working knowledge of Databricks