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À propos
Data Engineer
on behalf of one of the world's most respected proprietary trading and market-making firms — known for its rigorous, intellectually driven culture and best-in-class technology infrastructure. This is a rare opportunity to work at the intersection of high-performance data systems and financial markets, building the pipelines and platforms that power critical trading and research workflows. What You'll Be Doing: Designing and maintaining large-scale data pipelines and ETL/ELT workflows Building reliable, low-latency data infrastructure to support trading, research, and risk systems Collaborating closely with quants, traders, and engineers to ensure clean, accessible, and timely data Improving data quality, observability, and governance across the stack What They're Looking For: Strong foundation in data engineering — Python, SQL, and distributed systems Experience with large-scale data platforms (Spark, Kafka, Airflow, or similar) Comfort in a fast-paced, high-ownership environment Financial services or trading firm experience a plus, but not required Degree in CS, Engineering, Math, or a related quantitative field NYC Only. No C2C.
Compétences linguistiques
- English
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