Senior Quantitative Data Engineer

As the driving force behind Schonfeld’s next-generation data platforms, you will architect, operate, and continually refine underlying platform that empowers research, systematic trading, AI and risk analytics. On top of this robust foundation, you’ll build and run high-throughput pipelines spanning ultra-low-latency market-data streams to cost-efficient end-of-day workflows. Partner closely with quants, data scientists, and fellow engineers to achieve sub-minute SLAs, shape firm-wide architecture, and mentor peers. We believe diverse backgrounds and voices spark better ideas and more resilient systems, so you’ll join an inclusive culture where every perspective counts.

Requirements

• 7+ years building production data platforms with Python and SQL
• Deep expertise in big-data architecture: partitioning, sharding, columnar formats
• Hands-on with SingleStore/MemSQL, Spark/Flink/EMR and event buses (Kafka/Kinesis)
• Proven AWS skills plus Terraform / CloudFormation infrastructure-as-code mastery
• Experience delivering data services for AI/ML workloads and feature pipelines
• Experience building AI/ML feature stores or RAG pipelines
• Performance-tuning Postgres, SingleStore/MemSQL, or KDB for sub-second queries
• Proficient in API design, versioning, and OpenAPI/Swagger documentation
• Comfortable collaborating directly with traders, quants, and data scientists

Apply on Schonfeld's site