Data Engineer
AI in this role
About the Position
Our goal is to give you a real sense of what it’s like to work at Jane Street full time. Over the course of your internship, 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 — and then you will have the chance to put those lessons to practical use.
As a Data Engineering intern, you'll learn how we turn messy, real-world data into reliable foundations for research and trading. You'll write Python, SQL, and OCaml; use open-source tools and proprietary software; and work with a mix of structured and unstructured data (think world news, decades of weather patterns, deidentified credit card spending, or packet captures of stock exchange market data feeds).
During the internship you'll take on two real projects. You'll get your hands on an unfamiliar dataset, figure out what it actually contains, dig into parts that don't make sense, and explain your findings. You'll write code to ingest and transform data and to monitor its quality. You'll be mentored by full-time Data Engineers and learn about business context from data users, but the projects will be yours to own.
Learn more about Jane Street's internship program here.
About You
We don't expect you to have a background in computer science, data engineering, finance, or any other specific field—we're looking for smart, inquisitive people who enjoy solving interesting problems. We're more interested in how you think and learn than what you currently know. You should be:
- Curious about what data means, not just how to move it from one place to another
- Comfortable manipulating data in Python, SQL, R, or similar. You don't need to be a polished software engineer, but you should be able to turn an idea into working code
- An analytical and logical thinker. You're able to investigate something new, ask good questions, and come to sound conclusions
- Humble and eager to ask questions, admit mistakes, and learn new things
- Courteous, reliable, and organized
- A clear verbal and written communicator
How we rate this
Data Engineer at Jane Street rates 15 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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