Senior Data Engineer
Core
Build and maintain core data infrastructure for a quantitative research platform, transforming raw vendor feeds into clean, research-ready datasets for systematic researchers.
Role type
Senior Data Engineer (Financial Data Infrastructure)
Builds
Scalable data pipelines and research datasets for equities, options, futures, fixed income, ETFs, and FX.
Domain
Quantitative finance / Systematic trading
Deliverable
production ML models | product features
Required skills
Python, SQL, Linux scripting, financial data normalization, vendor feed integration, data quality validation, columnar databases (Parquet, Arrow), object storage
Preferred skills
Experience in hedge funds or systematic trading environments
Technologies
Python, SQL, Parquet, Arrow, columnar databases, object storage
Responsibilities
Design and maintain scalable ingestion pipelines for market and alternative data; normalize, validate, and manage lifecycle of research datasets; optimize data processing workflows for multiple asset classes; partner with researchers to onboard datasets and improve data quality; build monitoring and automation tooling for platform reliability; document pipelines and engineering best practices.
Seniority
Senior, hands-on IC