Senior Software Engineer - Custom Data

Bloomberg•San Francisco, CA

2d•Onsite

About The Position

The Custom Data team helps clients to bring their firm’s private datasets into the Bloomberg ecosystem. It lets them link proprietary data stores directly to the Terminal and across our Enterprise suite, so teams can collaborate on the same live data, tailor workflows end-to-end, and embed custom analytics at every stage of the investment cycle (from idea generation through execution and post-trade reporting). For buy-side firms like mutual funds, hedge funds and pensions, Custom data transforms the Terminal from a solo research tool into a shared intelligence platform. The Custom Data platform delivers a managed infrastructure encompassing the end-to-end lifecycle of proprietary institutional data. Key Capabilities include Metadata and Access Management, Ingest Pipelines, Rich Key Structure, Auditing Capabilities, APIs for Integration, Data Extraction, and System Scale and Performance. The system processes in excess of 250 million daily requests, serving approximately 65 billion data points across interactive, reporting, batch, and screening applications. The platform manages data for 11,000 firms and maintains stringent latency requirements to support real-time Bloomberg Terminal workflows.

Requirements

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

Nice To Haves

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

Responsibilities

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.