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Schonfeld

Quantitative Data Engineer

New York, New York, United States$200k–$220kfull-timemidAdded today

About this role

Schonfeld seeks a senior data engineer to architect and operate next-generation platforms powering trading, research, and AI analytics. You'll design high-throughput pipelines handling billions of market-data events daily, optimize for sub-minute SLAs, and mentor engineering teams in a 24/7 trading environment.

What you'll do

  • Architect and operate 24/7 reliable data platforms with infrastructure-as-code and cost optimization
  • Build and maintain batch and streaming pipelines ingesting billions of market-data events daily
  • Design high-performance, cost-efficient lakehouse tables and expose curated datasets via versioned APIs
  • Optimize workflows to meet aggressive SLAs with embedded observability and automated data quality checks
  • Champion Git-driven CI/CD practices and enforce coding standards across data assets
  • Mentor junior engineers and continuously improve platform resilience and performance

What they're looking for

  • Python and SQL for production data platforms
  • Big-data architecture (partitioning, sharding, columnar formats)
  • Spark, Flink, EMR, Kafka, or Kinesis
  • AWS infrastructure and Terraform/CloudFormation
  • SingleStore/MemSQL or KDB performance tuning
  • API design and OpenAPI/Swagger documentation
  • Feature store or RAG pipeline development
  • Iceberg, Delta Lake, or Hudi

Benefits

  • Investment in continuous learning and educational offerings
  • Competitive performance bonus and comprehensive benefits package
  • Inclusive culture valuing diverse perspectives and ideas
  • Opportunities to mentor and shape firm-wide architecture
  • Community engagement and internal networks promoting inclusion
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Schonfeld

Schonfeld builds internal platforms and technology systems that power investment operations, quantitative trading, and financial management for investment professionals. The company is hiring software engineers, platform engineers, and UI specialists to develop backend services, frontend solutions, data infrastructure, and trading platform support systems.

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Likely interview questions

  • Describe your experience building production data platforms at scale—what architectural decisions were critical for handling billions of events daily?
  • How have you optimized a complex pipeline to meet sub-minute SLAs, and what observability tools did you implement?
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