Senior Software Engineer - Custom Data

The Custom Data platform delivers a managed infrastructure encompassing the end-to-end lifecycle of proprietary institutional data.

Key Capabilities

• Metadata and Access Management: Offers tools to define metadata for proprietary data and manage access to govern data access.



• Ingest Pipelines: Provides both interactive and batch ingest pipelines to facilitate the transfer of data from the client environment into the Bloomberg ecosystem.


• Rich Key Structure: Enables clients to store data against a combination of one or more financial attributes.


• Auditing Capabilities: Ensures the transparency and 'paper trail' necessary for regulatory compliance and internal data integrity.


• APIs for Integration: provides standardized Read APIs that seamlessly embed data within Bloomberg's ecosystem, including the Terminal, execution platforms, and risk workflows.



• Data Extraction: Supplies Data and Audit feeds to facilitate the extraction of client-provided data outside the Bloomberg ecosystem.

• The system processes in excess of 250 million daily requests, comprising 150 million metadata requests and 100 million read queries.



• It serves approximately 65 billion data points across interactive, reporting, batch, and screening applications.


• The platform manages data for 11,000 firms, encompassing 365,000 unique fields.



• It maintains stringent latency requirements to support real-time Bloomberg Terminal workflows.

• 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/operational experience.


• Partner with other enterprise teams in Bloomberg to evolve the future of Custom data at Bloomberg.



• Mentor junior engineers in the team on best engineering practices.

• 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 (Kafka preferred)


• Familiarity with relational and noSQL datastores at Bloomberg (Cassandra preferred)


• A strong product mindset paired with genuine empathy for client needs



• A degree in Computer Science, Engineering, or equivalent work experience

• Familiarity with Python standards and tooling



• Background in distributed systems like Kafka, Redis, Cassandra, or HBase


• Experience with CI/CD pipelines, automated testing, or system observability



• Exposure to containerized environments using Docker or Kubernetes