Equities Data Engineer
Core
Onboarding, transforming, and managing diverse financial datasets to power trading strategies, predictive models, and AI/ML applications for global delta-one trading.
Role type
Equities Data Engineer
Builds
Resilient data pipelines, observability tools, and optimized storage solutions for medallion architectures.
Domain
Financial Trading / Equities / Data Engineering
Deliverable
production ML models
Required skills
Ingestion pipeline design, real-time and batch financial market data processing, point-in-time data management, data quality control, monitoring and observability, Linux systems administration, cloud platforms, automated testing, CI/CD, MLOps, Parquet and Iceberg file formats
Preferred skills
Equities, equity indices, futures, or delta one trading data experience
Technologies
Parquet, Iceberg, Linux, Cloud platforms
Responsibilities
Partner with traders and researchers to deliver structured data for trading strategies; Build and maintain resilient pipelines for cleaning and transforming batch and streaming data; Develop observability and alerting tools for pipeline reliability; Optimize tiered data storage across on-prem, cloud, and hybrid environments; Enforce data governance and security standards; Implement data quality frameworks for anomaly detection; Maintain point-in-time correctness for research and live trading; Collaborate with infrastructure teams to productionize pipelines.
Seniority
Mid-Senior, hands-on IC