Database Platform Engineer
Listed on 2026-06-03
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IT/Tech
Data Engineer, Cloud Computing
About the Data Platform Team
The Data Platform Team builds and maintains core database technologies and automation frameworks that power Capstone’s investment strategies. Our mission is to build a highly automated, self‑service platform that enables teams across the firm to innovate at scale.
Role OverviewWe 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, learning advanced technologies, and contributing to mission‑critical systems.
Required Skill Set- 3+ years of professional experience, ideally within the financial sector (equity, credit, derivatives trading environments)
- Experience with enterprise database technologies, 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 - Experience with open‑source monitoring tools such as Prometheus and 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 or 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
The applicable base salary range for this role is $145,000-$175,000 USD. In addition to base compensation, this position may be eligible for performance-based incentives and an annual incentive plan.
- Training and development opportunities
- Robust wellness resources: physical, mental, and financial
- Time‑off, retirement and commuter benefits
- Gym reimbursement and other discounts
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.
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