Data Engineer
Jane Street3 months ago
Responsibilities
- Investigate unfamiliar structured and unstructured datasets to understand their contents and resolve inconsistencies.
- Explain data findings and develop context about how data is used in research and trading.
- Write code to ingest and transform data.
- Monitor data quality and build reliable data foundations.
- Own two real projects with mentorship from full-time Data Engineers.
- Participate in classes, interactive sessions, and group discussions as part of the internship program.
Requirements
- Comfort manipulating data in Python, SQL, R, or a similar language and turning ideas into working code.
- Curiosity about the meaning and context of data, not only data movement.
- Strong analytical and logical thinking with the ability to investigate unfamiliar topics and reach sound conclusions.
- Clear verbal and written communication skills.
- Humility, reliability, organization, and eagerness to ask questions and learn.
- No specific background in computer science, data engineering, finance, or another field is required.
About Jane Street
Jane Street is a global quantitative trading firm and liquidity provider that builds in-house software and research platforms to trade across asset classes. It makes markets and executes proprietary strategies on exchanges and electronic venues, serving institutional markets rather than individual investors. Founded in 2000 and headquartered in New York, it is privately held with offices in London, Hong Kong, Singapore, and Amsterdam.