Data Engineer Intern - Build Scalable Data Pipelines

Jain Global LLC; New York, Northern (NY, KY); Hybrid; USD 182,000 - 234,000; Full time

Job summary

Jain Global LLC in New York invites a Data Engineer Intern for Summer 2027 to design and optimize data pipelines that empower quantitative researchers and portfolio managers. You will transform raw data into actionable insights, building scalable architectures and improving data accessibility across multiple data sources.

The role emphasizes collaboration with portfolio managers, researchers, and developers to operationalize data workflows and analytics tools, with exposure to real investment

Qualifications

• Pursuing a Master’s or PhD in a quantitative field with strong coding experience.
• Proficient in Python; comfortable with SQL and data modeling.
• Familiar with DevOps practices and cloud infrastructure.
• Experience with data visualization or internal UI tools (Dash, React).
• Strong communication and collaboration skills in a fast-paced environment.

Responsibilities

• Design, build, and maintain data pipelines and architectures for large-scale datasets.
• Improve data quality, integrity, and accessibility across multiple sources.
• Enhance internal data platforms and UI tools for better visualization of key datasets.
• Partner with DevOps to automate deployment, monitoring, and scaling of data systems.
• Collaborate with researchers to operationalize data workflows, models, and analytics tools.

Skills

Python

SQL

DevOps

Data modeling

Data visualization

Education

Master’s or PhD in Applied Mathematics / Engineering / Physics

Tools

Dash

React

Job description

Jain Global LLC in New York invites a Data Engineer Intern for Summer 2027 to design and optimize data pipelines that empower quantitative researchers and portfolio managers. You will transform raw data into actionable insights, building scalable architectures and improving data accessibility across multiple data sources.

The role emphasizes collaboration with portfolio managers, researchers, and developers to operationalize data workflows and analytics tools, with exposure to real investment