Data Engineer Intern
- Compensation
- Not disclosed
- Location
- New York, New York
- Work setup
- Not specified
- Seniority
- Intern
- Employment
- Internship
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Currently pursuing a Master’s or PhD in one of the following disciplines: Applied Mathematics, Engineering (Mechanical, Electrical, or Chemical), Physics, or a related discipline with strong coding ex
- Strong programming skills in Python and experience with SQL and data modeling.
- Familiarity with DevOps practices (CI/CD, containerization, cloud infrastructure).
- Exposure to data visualization or internal UI tools (Dash, React, etc.).
- Proven ability to improve data quality, automate workflows, and optimize systems.
- Strong communication skills and the ability to work collaboratively in a high-performance environment.
Full description
Job Description:
Data Engineer Intern (Summer 2027 – New York) About Jain Global
Jain Global is an innovative multi-strategy investment firm founded in July 2024 by Bobby Jain. With over 400 employees across New York, Houston, London, Singapore, and Hong Kong, we bring together diverse teams to pursue excellence across asset classes and investment styles. We have assembled a unique group of strategy-specific business builders – veteran practitioners that have partnered with our founder to attract world class talent and create a competitive edge in each business.
Role Overview
We are seeking a highly motivated Data Engineer Intern to join our technology team in New York. This internship offers the opportunity to design, build, and optimize data systems that empower quantitative researchers, data scientists, and portfolio managers.The ideal candidate will have a passion for both engineering excellence and business-driven problem solving, with a keen interest in applying data, coding, and automation to enhance investment insights.
As a Data Engineer Intern, you will work closely with portfolio managers, quantitative researchers, and developers to transform raw data into actionable insights. You will help design scalable data pipelines, improve data quality and accessibility, and assist in building tools and platforms that enhance research, trading, and decision-making across the firm.
Responsibilities
- Design, build, and maintain robust data pipelines and architectures that support large-scale financial and alternative datasets.
- Enhance data quality, integrity, and accessibility across multiple sources, ensuring high standards of accuracy and consistency.
- Improve internal data platforms and UI tools for better usability and visualization of key datasets.
- Partner with DevOps to automate deployment, monitoring, and scaling of data systems.
- Collaborate with quantitative researchers and technologists to operationalize data workflows, models, and analytics tools.
Qualifications & Skills
- Currently pursuing a Master’s or PhD in one of the following disciplines: Applied Mathematics, Engineering (Mechanical, Electrical, or Chemical), Physics, or a related discipline with strong coding experience and an interest in data.
- Strong programming skills in Python and experience with SQL and data modeling.
- Familiarity with DevOps practices (CI/CD, containerization, cloud infrastructure).
- Exposure to data visualization or internal UI tools (Dash, React, etc.).
- Proven ability to improve data quality, automate workflows, and optimize systems.
- Strong communication skills and the ability to work collaboratively in a high-performance environment.