Data Reliability Engineer

Responsibilities

• Ensure 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
• Serve as a frontline owner for 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 investment professionals, 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 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.
• 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.
• Commitment to the highest ethical standards
• About point72

Additional Information

JOB TITLE Data Reliability Engineer 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.

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Company Intel

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