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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
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.