Quant jobs / Schonfeld

Senior Quantitative Data Engineer

A senior data engineering role running the firm's data platform for research, systematic trading, AI and risk. It serves quants and data scientists with pipelines from tick data to end-of-day.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Run and improve batch and streaming pipelines for billions of market data events a day
Design lakehouse tables and versioned APIs that quants and AI agents consume
Add monitoring and automated data quality checks to meet tight SLAs
Support feature pipelines for machine learning workloads
Mentor junior engineers and set coding standards

What they ask for

Required

7+ years building data platforms in Python and SQL
Big-data design: partitioning, sharding, columnar formats
Spark/Flink and Kafka/Kinesis event streaming
AWS and infrastructure-as-code (Terraform, CloudFormation)
Data services for ML and feature pipelines
API design and documentation

Preferred

Market data expertise (tick, options, macro)
Iceberg, Delta Lake or Hudi
SingleStore real-time analytics
Performance profiling
Open-source contributions

Education: Not stated
Experience: 7+ years building production data platforms
Languages and tools: Python
SQL
KDB+/q
Terraform

How to prepare

Build a streaming pipeline that ingests tick data and lands it in a partitioned columnar store
Learn lakehouse table formats and how to tune them for queries
Practise infrastructure-as-code deployments on AWS
Add automated data quality checks to a market data feed

What to study

Apply

Read the full posting on Schonfeld’s site before applying: requirements, location and pay can change after we check them.

View the posting on Schonfeld’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Schonfeld and doesn’t handle applications.