Data Engineer

We see the world differently at Capstone Investment Advisors. You will, too. Capstone is one of the leading asset management firms in derivatives and complementary strategies. With approximately $12 billion of AUM and over 330 employees (as of December 1st, 2025), Capstone was formed in 2007 and is headquartered in New York with offices in London, Amsterdam, Milan, Los Angeles, Hong Kong, Stamford, and Boston. For over 20 years, across market cycles, we have identified anomalies, tracked dislocations, and capitalized on opportunities to deliver for our investors. Our approach is built on a different way of investing, working together to innovate new strategies and solutions. Together, we explore the overlooked in the pursuit of lasting results for our clients. With our sophisticated, global client base, we recognize that our success is deeply connected to real people. For that reason, we take a human approach to everything we do, focusing largely on collaborative performance. Our workflow and process are built around the belief that by sharing ideas, we achieve greater outcomes. This gives you greater access to resources, direct exposure to senior leadership, and new opportunities to experiment and innovate. Overview As a Data Engineer, you will be at the forefront of building a leading and innovative market data platform that underpins our business. You will contribute to [... source excerpt omitted ...] sis, sourcing, quality checking, and lifecycle management. The ideal candidate will have essential expertise in creating and maintaining market data platform pipelines and tools. You will have relevant experience working with financial data and exposure to various data stores such as Snowflake, Redshift and timeseries databases. As a liaison between technical teams and business users, excellent communication skills are a must. We value those who take personal ownership of tasks and display a commitment to delivering high-quality results. The ideal candidate for this role is self-starting, flexible, intellectually curious and adept at creative problem solving. Responsibilities a [... source excerpt omitted ...] uality and resilience of our data platform. Working directly with Product and Portfolio Managers to understand their data needs and provide end-to-end data solutions that address requirements. Work with timeseries databases (e.g. ArcticDB, KDB+) to store, query, and manage dense time-series data effectively. Build out data quality and integrity tools to ensure robust data validation and error handling. Investigate data issues, working with data providers to ensure seamless interconnection between different data sets. Our future colleague has these skills: Bachelor’s degree in Computer Science, Engineering, or a related field. 4 –6 years in a software development focused role