Bloomberg
Senior Software Engineer - DataHub Stream Functions
Bloomberg, Montgomery, Alabama, United States, 36136
Senior Software Engineer - DataHub Stream Functions
Location
Skillman
Business Area
Engineering and CTO
Ref #
10048046
Description & Requirements 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.
Languages : Java, Python, Go, TypeScript
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
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.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
#J-18808-Ljbffr
Location
Skillman
Business Area
Engineering and CTO
Ref #
10048046
Description & Requirements 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.
Languages : Java, Python, Go, TypeScript
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
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.
Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.
#J-18808-Ljbffr