What are the responsibilities and job description for the Senior Software Engineer - DataHub Stream Functions position at Bloomberg L.P.?
Job Details
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.
Our tech stack:
You'll get to work on:
What You'll Need
We'd love to see:
Salary Range = 00 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.
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 = 00 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $160,000 - $240,000