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About the Role
We are looking for a Data Engineer to turn messy, real-world datasets into reliable inputs for research and trading. You'll work closely with trading desks to identify 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.
Responsibilities
- Work closely with trading desks to identify Jane Street's data needs
- Evaluate datasets
- Build pipelines that ingest and transform external data
- Figure out what data means and how best to represent it
- Help shape the systems you use every day
Requirements
- Strong programming skills in any language (Python a plus)
- Proficient with SQL or DataFrame libraries like pandas or Polars
- Intellectually curious with a meticulous approach to data investigation
- Enjoy the detective work required to make sense of unfamiliar datasets
- Clear and concise communicator
- Fluency in English required
Skills
- Python
- SQL
- Pandas
- Polars
About the Company
- 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.