About the Role
As a Data Engineering intern, you will explore ways to approach and solve exciting problems within your field of interest through fun and challenging classes, interactive sessions, and group discussions. You will learn how to turn messy, real-world data into reliable foundations for research and trading. You will write Python, SQL, and OCaml; use open-source tools and proprietary software; and work with a mix of structured and unstructured data. During the internship, you will take on two real projects, get your hands on an unfamiliar dataset, figure out what it contains, dig into parts that don't make sense, and explain your findings. You will write code to ingest and transform data and to monitor its quality. You will be mentored by full-time Data Engineers and learn about business context from data users, but the projects will be yours to own.
Responsibilities
- Write Python, SQL, and OCaml
- Use open-source tools and proprietary software
- Work with a mix of structured and unstructured data
- Take on two real projects
- Get hands-on with an unfamiliar dataset
- Figure out what a dataset contains
- Investigate parts of a dataset that don't make sense
- Explain findings from data analysis
- Write code to ingest and transform data
- Write code to monitor data quality
Requirements
- Be curious about what data means, not just how to move it
- Be comfortable manipulating data in Python, SQL, R, or similar
- Be able to turn an idea into working code
- Be an analytical and logical thinker
- Be able to investigate something new, ask good questions, and come to sound conclusions
- Be humble and eager to ask questions, admit mistakes, and learn new things
- Be courteous, reliable, and organized
- Be a clear verbal and written communicator
Skills
- Python
- SQL
- OCaml
- Data manipulation
- Data analysis
- Coding
Work Type
- Internship
Experience Level
- Intern
About the Company
- Jane Street's internship program
