Senior Data Engineer
Core
Build and maintain core data infrastructure for a quantitative research platform, ingesting and normalizing large-scale financial and alternative datasets for systematic researchers.
Role type
Senior IC data engineer (financial data infrastructure)
Builds
Scalable data pipelines transforming raw vendor feeds into clean, research-ready datasets for equities, options, futures, fixed income, ETFs, and FX.
Domain
Financial technology / Quantitative research
Deliverable
production ML models | product features
Required skills
Python, SQL, Linux scripting, financial data normalization, data pipeline lifecycle management, columnar databases (Parquet, Arrow), object storage
Preferred skills
Experience in systematic trading or hedge fund environments, deep knowledge of market/tick/reference data feeds
Technologies
Python, SQL, Parquet, Arrow, columnar databases, object storage
Responsibilities
Design and maintain scalable ingestion pipelines for diverse external vendors; Own normalization, validation, and storage of research datasets; Develop and optimize Python/SQL data processing workflows; 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
