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# Senior Software Engineer - Data & Analytics...

- **Company:** Bloomberg L.P.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $160,000.0 - $240,000.0
- **Contract:** Permanent contract
- **Skills:** Apache HTTP Server, Data Infrastructure, Linux, Distributed Systems, Python (Programming Language), Open Source Technology, Service-Oriented Architecture, Data Streaming, System Programming, Data Processing, Information Technology, Low Latency, Data Analytics, C++14, Microservices
- **Published:** June 28, 2026
- **Apply:** https://www.juju.com/job/00000000gbxf1c

## About the Role

4+ years of experience developing in Modern C++ or Python.

 - Strong system design and distributed systems fundamentals.

 - Familiarity with asynchronous frameworks and service-oriented architectures.

 - A collaborative mindset with excellent communication skills.

 - A degree in Computer Science, Engineering, Mathematics, or a related field - or equivalent work experience.

We'd love to see:

 - Experience with Apache Arrow, BAS, or high-throughput data processing systems.

 - Knowledge of Linux system programming or performance engineering.

 - Contributions to large-scale infrastructure or open-source projects.

 - Passion for improving developer productivity and platform experience.

## Description

We're the backbone of Bloomberg's data infrastructure, connecting applications to every type of content they need. Our work powers everything from market analytics to client dashboards. We design, build, and operate systems that must perform flawlessly at global scale.

Our stack includes Modern C++, Python, BAS, Apache Arrow, and microservices-based async frameworks running on Linux.

We'll trust you to:

 - Shape the architecture and design of CalcrtX from the ground up.

 - Solve distributed systems problems at multi-billion-request-per-day scale.

 - Collaborate with dozens of teams across Engineering to redefine how data flows across Bloomberg.

 - Learn continuously through tech talks, study groups, and internal/external presentations.

 - Design and implement highly scalable, resilient microservices for CalcrtX.

 - Partner with data provider and client teams to streamline integration and performance.

 - Build tooling and frameworks that improve developer experience for hundreds of internal teams.

 - Ensure operational excellence, reliability, and observability across the new architecture.

 - Continuously optimize latency, throughput, and resource efficiency.


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