Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Data Engineer
New York, New York, United States
Open 3 months, first seen by us 112 days ago- Pay
- Pay not listedSimilar roles state $127K–$190K
- Work setting
- Not stated
- Employment
Internship — employment source
Employment type in the employer’s posting: Summer Internship
From the employer’s posting
What you’ll work on
Full postingInvestigate unfamiliar datasets to find out what they contain and explain findings
Write code to ingest and transform data
Write code to monitor data quality
Work with structured and unstructured data using Python, SQL and OCaml
From the employer’s posting
you will have the chance to put those lessons to practical use
You'll write code to ingest and transform data and to monitor its quality.
to monitor its quality
You'll write Python, SQL, and OCaml; use open-source tools and proprietary software
What you’ll bring
All qualificationsCore experience
- Comfortable manipulating data in Python, SQL, R or similar
- Analytical, logical thinker who can investigate new things and reach sound conclusions
- Clear verbal and written communicator
- Able to turn an idea into working code
Qualification wording
Comfortable manipulating data in Python, SQL, R, or similar.
An analytical and logical thinker.
A clear verbal and written communicator
you should be able to turn an idea into working code
Posting record
Report an errorOpen 3 monthsWe first saw this posting 112 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 15, 2026112 days ago
- Recorded sightings
- 81
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 112
Up longer than most. Similar jobs usually come down between day 5 and day 54.
From 10,703 similar postings that came down. Coming down is not always a hire.
Jane Street is hiring
26 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- SQL
Where the posting names them
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.
- 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
Your next step
Complete your application on www.janestreet.com. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
Has Jane Street posted this job before?
Yes. We’ve followed 3 other Data Engineer jobs there since April 2026. All 3 are still up.
Large employers often post one title for several teams, so these can be separate openings.
Job description
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
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
New York, New York, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.