Data Platform Engineer

The Data Platform Team builds and maintains the core database technologies and automation frameworks that power Capstone’s cutting‑edge investment strategies. Our mission is to build a highly automated, self‑service platform that enables teams across the firm to innovate  are looking for a motivated technologist who thrives on solving complex challenges and designing resilient, secure, and high‑performance systems. You will play a key role in shaping the firm’s next‑generation data platform, with opportunities to learn advanced technologies and contribute to mission‑critical systems.

This role offers exceptional exposure to diverse areas of the hedge fund, providing opportunities to influence critical systems and deliver impactful solutions.

• 3+ years of professional experience, ideally within the financial sector (equity, credit, derivatives trading environments)
• Engineering experience in enterprise database technologies, with strong proficiency in Microsoft SQL Server (MSSQL)
• Development experience across multiple languages (SQL, Power Shell, Python) for solving complex problems and building automation
• Automation‑first mindset, including experience with Infrastructure as Code (IaC) and scripting for repeatable deployments
• Database performance tuning and optimization: ability to analyze execution plans, manage indexing strategies, and troubleshoot query bottlenecks
• Database design and modelling fundamentals: normalization, constraints, transactions, and schema versioning
• Version control and CI/CD experience:
  Git workflows and automated deployments using tools such as Jenkins, Azure Dev Ops, or Git Hub Actions
• Leverage open‑source monitoring tools (e.g., Prometheus, Grafana) for performance and health checks
• Excellent verbal and written communication skills for collaboration and documentation

• Experience with Apache Iceberg on object storage (S3) and engines like Spark/Trino.
• Exposure to multiple database platforms such as Postgre
  
  SQL, Snowflake, Amazon Redshift, Mongo
  
  DB, Cassandra, etc.
• Exposure to distributed data platforms (Kafka)
• Familiarity with enterprise infrastructure (storage, networking, compute), Linux administration (Red Hat) and Windows Server.
• Exposure to Kubernetes

• Training and development opportunities
• Robust Wellness Resources:
  Physical, Mental and Financial
• Time‑Off, Retirement and Commuter Benefits
• Gym Reimbursement and other Discounts

Applicable base salary range: $145,000‑$175,000 USD. This is supplemented by performance‑based incentives and an annual incentive plan.

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.