Data Engineer

Jane Street; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Jane Street in the United States is seeking a Data Engineer to turn messy datasets into reliable inputs for research and trading. You will collaborate with trading desks to identify data needs, evaluate datasets, and build end-to-end pipelines.

You will help shape the systems you use daily, develop deep expertise in your data domains, and own your work from ingestion to representation.

Qualifications

• Strong programming skills in any language; Python a plus.
• Proficient with SQL or DataFrame libraries like pandas or Polars.
• Curious and meticulous with data investigation and analysis.
• Clear and concise communicator.

Responsibilities

• Identify data needs with trading desks and assess datasets.
• Build and maintain ingestion and transformation pipelines.
• Turn external data into reliable inputs for research and trading.
• Own end-to-end data work from ingestion to representation.

Skills

Programming

SQL / DataFrames

Data investigation

Communication

Job description

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.