Data Reliability Engineer

Job description

**A Career with Cubist** Cubist Systematic Strategies, an affiliate of Point72, deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources. **What You’ll Do** We are passionate about data. We collaborate to build elegant, effective, scalable, and highly reliable solutions to empower predictive modeling in finance. You will join a team that plays a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure and the timely delivery of comprehensive and error-free data to Cubist’s portfolio managers across the globe. Specifically, you will: - Serve as a frontline owner for thousands of mission-critical data ETL pipelines that power trading and investment decision-making, ensuring reliability, accuracy, and timeliness. - Actively manage and resolve data incidents in a fast-paced trading environment, partnering closely with portfolio managers, data scientists, and external data vendors. - Design and build tooling, automation, and robust documentation to improve operational efficiency, scalability, and data quality across the platform. - Play a hands-on role in daily data operations, including data validation, remediation, and enrichment, with opportunities to continuously improve and modernize workflows through engineering best practices. **What’s Required** - Bachelor’s degree with a focus in computer science or a related field. - Strong proficiency in SQL Server and Python programming, with experience in AWS and both Windows and Linux environments; familiarity with Databricks is a plus. - Exceptional attention to detail with a strong appreciation for well-defined processes and systems. - 3+ years of experience in a client-facing support or operations role. - Excellent organizational, communication, and interpersonal skills. - Demonstrated commitment to the highest ethical standards.