The DataHub Engineering team is building a distributed platform to host, catalog, discover, and deliver financial datasets across Bloomberg. This platform powers batch analytics, real-time stream processing, and low-latency, high-availability data distribution—ensuring that high-quality data, the lifeblood of financial markets, is always accessible.

As part of this mission, the DataHub Stream Functions team provides the managed, serverless infrastructure for scalable stream processing, enabling engineers across the company to focus on logic, not infrastructure. You’ll help shape a platform that standardizes and simplifies data processing at scale, touching virtually every corner of the Bloomberg engineering ecosystem.

Our tech stack:

Languages: Java, Python, Go, TypeScript

Frameworks/Tools: React, Kubernetes, Kafka

Cloud-Native Stack: Container orchestration, service mesh, distributed tracing

Developer Tools: VS Code extension, debuggers, observability instrumentation

You’ll get to work on:

Automatic vertical scaling for stream applications

Backfilling and backtesting solutions

Kubernetes operators for workload rebalancing

Controlled Kubernetes shell access for debugging

DevX tooling: linters, plugins, and automation pipelines

Connects and integration solutions

Agentic workflows for streaming pipelines

What You’ll Need

4+ years of hands-on experience in Java, Python or Go

Experience building reliable, high-performance distributed services

Deep understanding of Kubernetes, Linux, networking, and debugging

Knowledge of software instrumentation and observability best practices

We’d love to see: 

Familiarity with the JVM ecosystem and performance tuning

Frontend experience with React and TypeScript

Background in stream processing frameworks (Kafka, Flink, etc.)

Strong ownership mindset and empathy for end-users Salary Range = 160000 - 240000 USD Annually + Benefits + Bonus
The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.


We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.
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