Quant Data Engineer-
Core
Build robust data pipelines and mission-critical infrastructure handling tick-by-tick market data and execution logs for algorithmic trading systems.
Role type
Quantitative Data Engineer
Builds
Scalable data pipelines, database schemas, and REST API-based analytics platforms for trading systems.
Domain
Financial technology / Algorithmic trading / Market data infrastructure
Required skills
Python (Numpy, Pandas, Polars), PostgreSQL, Data pipeline orchestration (Airflow, Dagster), Applied statistics, REST API development
Preferred skills
C++, Low-latency systems concepts, R, Machine Learning, AI
Technologies
Python, PostgreSQL, Airflow, Dagster, FastAPI, Django, Numpy, Pandas, Polars
Responsibilities
Design and optimize high-throughput data pipelines for market and execution data; Build and manage scheduled data workflows for 24/7 availability; Monitor pipeline health and implement automated data-quality checks; Build and maintain REST APIs to serve analytics and performance metrics; Partner with quants to translate TCA research into production features.
