Data Engineer Intern: Build Scalable Data Pipelines

Jain Global, LLC; New York (NY); On-site; USD 182,000 - 234,000; Part time

Benefits offered by this job

Mentorship

Project ownership

Global exposure

Career development

Job summary

Jain Global, LLC in New York invites a Data Engineer Intern to design, build, and optimize data pipelines that empower researchers, data scientists, and portfolio managers. You will work with cross‑functional teams to transform raw data into actionable insights and support trading and research workflows.

This Summer 2027 internship emphasizes engineering excellence, data quality, and automation, with mentorship from senior engineers and potential for full‑time opportunities upon successful

Qualifications

• Pursuing a Master’s or PhD with strong coding experience and interest in data.
• Strong programming skills in Python; experience with SQL and data modeling.
• Familiarity with DevOps practices (CI/CD, containerization, cloud).
• Exposure to data visualization or internal UI tools (Dash, React).

Responsibilities

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

Skills

Python programming

Data modeling

Data pipelines

Communication

Education

Master's or PhD in Applied Mathematics, Engineering, Physics, or related field

Tools

Dash

React

CI/CD

Job description

Jain Global, LLC in New York invites a Data Engineer Intern to design, build, and optimize data pipelines that empower researchers, data scientists, and portfolio managers. You will work with cross‑functional teams to transform raw data into actionable insights and support trading and research workflows.

This Summer 2027 internship emphasizes engineering excellence, data quality, and automation, with mentorship from senior engineers and potential for full‑time opportunities upon successful