Data Engineer

• Architect and implement a unified data platform that integrates hundreds of vendor datasets, providing consistent, accessible, and high-quality data to simulators and researchers.**
• Design efficient storage and retrieval systems to support both large-scale historical backtesting and high-frequency research workflows.**
• Develop intuitive researcher interfaces and APIs that allow users to easily discover variables, explore metadata, and assemble data into standardized stocks × values matrices for rapid hypothesis testing.**
• Collaborate closely with quantitative researchers and simulation teams to understand their workflows, ensuring the data platform meets real-world analytical and performance needs.**
• Establish best practices for data modeling, normalization, versioning, and quality control across asset classes and data vendors.**
• Work with infrastructure and DevOps teams to optimize data pipelines, caching, and distributed storage for scalability and reliability.**
• Prototype and deploy internal data applications that enhance research productivity and data transparency.**
• Mentor and guide data engineers to maintain robust, maintainable, and well-documented data systems.**

Senior Data Architect

Data Engineer II, AWS, Databricks

Senior Data Engineer

Senior Staff AI Data Engineer – Tech Lead

Data Engineer