Data Engineer Intern - Cloud AI Pipelines in NYC

Socket.dev; New York (NY); On-site; USD 115,000 - 155,000; Part time

Job summary

Lazard's AI and Data Group seeks a Data Engineer Intern to onboard and model datasets on cloud data platforms, delivering reliable pipelines and high-quality data layers for analytics and ML workloads. You will interact with investment bankers and portfolio managers, contributing to end-to-end data solutions.

The role requires strong Python and SQL skills, Databricks experience, and familiarity with ETL/ELT, cloud platforms (AWS/Azure/GCP), and modern development workflows.

Qualifications

• Bachelor's or advanced degree in Computer Science, Data Engineering, or related field.
• Strong programming skills in Python and SQL.
• Hands-on experience building ETL/ELT pipelines.
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Experience with relational and NoSQL databases.
• Familiarity with data quality frameworks and data governance.

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.
• Collaborate with senior stakeholders and engineers to iterate from concept through deployment.
• Engage in end-to-end product development cycles with rapid feedback loops from users and data scientists.

Skills

Python

SQL

ETL/ELT

Databricks/Spark

Cloud platforms (AWS/Azure/GCP)

NoSQL databases

Data quality frameworks

Git

CI/CD

Containerization

Education

Bachelor's or advanced degree in Computer Science / Data Engineering

Tools

Databricks

Spark

Delta formats

Relational databases

NoSQL databases

Git

CI/CD tooling

Docker/Kubernetes

Job description

Lazard's AI and Data Group seeks a Data Engineer Intern to onboard and model datasets on cloud data platforms, delivering reliable pipelines and high-quality data layers for analytics and ML workloads. You will interact with investment bankers and portfolio managers, contributing to end-to-end data solutions.

The role requires strong Python and SQL skills, Databricks experience, and familiarity with ETL/ELT, cloud platforms (AWS/Azure/GCP), and modern development workflows.