Role at a glance
- Job function
-
AI & Data Data Engineering
- Salary
- Not Disclosed
- Location
- New York, New York, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- Prior experience with financial data is helpful but not required.
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Role Summary
The Data Engineer turns external, real-world datasets into reliable inputs for research and trading. The role works closely with trading desks to identify data needs, assess and interpret datasets, and build the systems and pipelines needed to use them.
What You'll Do
- Identify data needs with trading desks
- Evaluate external datasets
- Investigate what data represents and determine how to structure it
- Build pipelines to ingest and transform external data
- Help shape and build the tools and systems used for the work
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
Strong programming skills in any language, with clear, correct, maintainable code; proficiency with SQL or DataFrame libraries such as pandas or Polars; intellectual curiosity, meticulous data investigation, and clear, concise communication.
Required
- Strong programming skills in any language and the ability to write clear, correct, and maintainable code
- Proficiency with SQL or DataFrame libraries like pandas or Polars
- Intellectual curiosity and a meticulous approach to data investigation
- Clear and concise communication
Preferred
- Python is a plus
- Prior experience with financial data is helpful but not required
Original job description
Content provided by the employer
Original job description
Content provided by the employer
About the Position
We are looking for a Data Engineer to turn messy, real-world datasets into reliable inputs for research and trading. Jane Street depends on data from a wide variety of sources to understand markets and the global economy—think world news, decades of weather patterns, deidentified credit card spending, or packet captures of stock exchange market data feeds. Clean, well-structured data is the difference between noise and a profitable trading signal.
You'll work closely with trading desks to identify Jane Street's data needs, evaluate datasets, and build pipelines that ingest and transform external data. You'll figure out what data means and how best to represent it. We build our own tools and software when needed, so you'll also help shape the systems you use every day.
This is a collaborative role, but you'll own your work from end to end. It requires a mix of engineering, data analysis, and product sense. You'll develop deep expertise in your data domains and use that understanding to decide what's worth building next.
About You
- Have strong programming skills in any language (Python a plus); you write clear, correct, and maintainable code
- Proficient with SQL or DataFrame libraries like pandas or Polars
- Intellectually curious with a meticulous approach to data investigation; you enjoy the detective work required to make sense of unfamiliar datasets
- A clear and concise communicator
Prior experience with financial data is helpful but not required. We’re happy to hire talented engineers and teach them what they need to know.
If you're a recruiting agency and want to partner with us, please reach out to [email protected].
About the company
Jane Street
Large Enterprise
Jane Street is a global trading firm that specializes in quantitative and algorithmic trading across various asset classes, including equities, options, and fixed income. Founded in 2000, the company leverages advanced technology and data analytics to drive its trading strategies while maintaining a strong commitment to risk management and collaboration. Known for its dynamic and intellectually stimulating work environment, Jane Street also places a high value on continuous learning and professional development, making it an attractive workplace for individuals interested in finance, mathematics, and computer science.