Data Engineer in New York - Capstone Investments

Capstone is a global, alternative investment management firm operating across a broad range of derivatives-based strategies with a deep understanding of volatility. With approximately $11.1 billion of AUM and 333 employees (as of February 1, 2025), Capstone was formed in 2007 and is headquartered in New York with offices in London, Amsterdam, Milan, Los Angeles, Hong Kong, Stamford, Boston, Tokyo, Houston, and Maryland. Through strategic insight, market-leading expertise and advanced technology, we seek to anticipate and harness the complexities of world markets, creating unique opportunities for our clients, team and industry.

Overview :

As an associate 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 the build out and upkeep of Capstone's data platform. You will have the chance to boost your career in a fast-paced and ambitious team that strives to create state-of-the-art tools for a range of data-related activities including onboarding, analysis, 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 and Impact :

• Develop data solutions that enable investment professionals to efficiently extract insights from data.
• Build tools and automation capabilities for data pipelines that improve the efficiency, quality 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., MongoDB, OneTick) to store, query, and manage tick data efficiently.
• 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

The ideal candidate is an intellectually curious self-starter, who wants to develop skills in a fast-paced environment, has the ability to be proactive, responsive and multi-task efficiently, and a desire to create relationships across Capstone through collaborative work with the firm's Investment, Technology, Operations, Finance and other teams. The candidate should be humble, results-oriented and have the flexibility to adapt to quickly changing circumstances and priorities. Excellent written and verbal communications skills are necessary for success in this role.

Our future colleague has these skills :

Bonus Skills :

Benefits and Compensation Information :

Our team is our most important asset and investment. We value and respect our colleagues and their well-being inside and outside the workplace and our culture reflects this. We offer a robust and competitive benefits program to ensure the well-being of our colleagues.

Some benefits included in this role are :

The applicable base salary range for this role is $140,000 - $165,000 USD. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

Equal Opportunity Employer :

Capstone is committed to creating an inclusive environment where we welcome people of different backgrounds. Capstone considers applications for employment without regard to all applicable protected characteristics, including race, color, religion, ethnicity, national origin, gender, sexual orientation, gender identity or expression, age, parental status, veteran status, or disability status.

J-18808-Ljbffr