The Senior Software Engineer for the Custom Data team will focus on integrating clients' private datasets into the Bloomberg ecosystem, enhancing collaboration and analytics throughout the investment cycle. This role involves designing and implementing features while ensuring strict latency requirements are met. The engineer will work with a team to modernize data integration and mentor junior engineers on best practices. The position requires strong backend engineering skills, particularly in Python, and an understanding of system design.

• 4+ years of experience in backend engineering, ideally with Python.
• Strong system design and debugging skills in production environments.
• Familiarity with distributed messaging or stream-processing frameworks, preferably Kafka.
• Familiarity with relational and noSQL datastores, with a preference for Cassandra.
• A degree in Computer Science, Engineering, or equivalent work experience.

• Design and implement features in the product while adhering to strict latency requirements.
• Write maintainable and production-quality code.
• Contribute to system design and refactor Python and C++ services to follow clean, single-responsibility principles.
• Evaluate next-generation storage solutions.
• Modernize Custom data integration with standard Bloomberg APIs.
• Own observability from metrics to dashboards, defining clear SLIs and SLOs.
• Design tools to improve team oncall and operational experience.
• Partner with other enterprise teams in Bloomberg to evolve the future of Custom data.
• Mentor junior engineers in the team on best engineering practices.

• Bloomberg offers a comprehensive suite of benefits designed to support health, financial stability, and work-life balance.