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Jane StreetPosted 44 months ago

Data Engineer

On-siteNew York, United States

Full TimeLargeFinance

Job Summary

Ingest and transform external datasets from diverse sources like news feeds, weather patterns, and market data into reliable inputs for research and trading. Collaborate with trading desks to identify data needs, evaluate raw datasets, and build pipelines that represent complex information accurately. Develop custom tools and software to shape the systems used daily, while maintaining end-to-end ownership of your work. Requires strong programming skills in Python, SQL, or DataFrame libraries like pandas or Polars, along with a meticulous approach to data investigation. This collaborative role blends engineering, data analysis, and product sense to turn messy real-world data into profitable trading signals.

Required Qualifications

  • Strong programming skills
  • Proficient with SQL
  • Proficient with DataFrame libraries like pandas or Polars
  • Intellectually curious with a meticulous approach to data investigation
  • A clear and concise communicator

Desired Qualifications

  • Python
  • Prior experience with financial data

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