Senior Software Engineer - Custom Data

USD 160,000-240,000 per year

SENIOR

✅ On-site

Tech Stack
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1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

API Automated Testing @ 4 CI/CD @ 4 Cassandra @ 3 Debugging @ 7 Distributed Systems Docker Kafka @ 3 Kubernetes NoSQL @ 3 Observability @ 4 Python @ 6 Redis

Details

Role

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.

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.

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