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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 Fluency in English required If you're a recruiting agency and want to partner with us, please reach out to agency-partnerships@janestreet.com .
Salary estimate
$102,000 – $138,000/yr
Provided by the employer.
Skills for this role
PythonSQLRecruitingData Analysis
Resume tips for Data Engineer applicants
Lead with measurable achievements relevant to Data Engineer (numbers, scope, impact).
Mirror the exact keywords from the Data Engineer posting so applicant tracking systems rank you higher.
List the specific tools and skills the role names (e.g. Typescript, React, Python, RUBY).
Keep it to one page for early-career, two pages for senior Data Engineer candidates.
Interview preparation
Prepare concrete STAR-format stories that show Data Engineer outcomes you drove.
Research the employer's product and recent news before the interview.
Be ready to explain how you'd approach a typical Data Engineer problem end to end.
Have thoughtful questions ready about the team, tools and success metrics.
About Jane Street
Jane Street is actively hiring on Jobedly. Explore their open roles and what it's like to work there.