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Home Based Bloomberg Software Engineer Jobs (NOW HIRING)

Bloomberg

Senior Software Engineer - Base Layers

Manhattan, NY · On-site

$135K - $178K/yr

See your work impact thousands of developers across Bloomberg and developers worldwide through open ... Actual compensation may vary based on factors such as geographic location, work experience, market ...

Bloomberg LP

Senior Software Engineer - Buy-Side

New York, NY · On-site

$134K - $176K/yr

Powering Global Asset Management at Scale Bloomberg Buy-Side delivers a comprehensive, multi-asset ... Actual compensation may vary based on factors such as geographic location, work experience, market ...

Bloomberg LP

Senior Software Engineer - ETN FIXNET

New York, NY · On-site

$134K - $176K/yr

... based on Financial Information Exchange (FIX) protocol with unmatched performance, capacity, and ... In this role, you will be joining a highly efficient team that drives the architecture of Bloomberg ...

Bloomberg

Senior Software Engineer - API Platform

Manhattan, NY · On-site

$135K - $178K/yr

... The Bloomberg API Platform is the gateway to the world's most comprehensive financial data. We ... Actual compensation may vary based on factors such as geographic location, work experience, market ...

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All JobsHome Based Bloomberg Software Engineer Jobs

Home Based Bloomberg Software Engineer information

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$63.5K

$147.5K

$205.5K

How much do home based bloomberg software engineer jobs pay per year?

As of Jun 24, 2026, the average yearly pay for home based bloomberg software engineer in the United States is $147,524.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between Home Based Bloomberg Software Engineer vs Remote Bloomberg Data Analyst?

AspectHome Based Bloomberg Software EngineerRemote Bloomberg Data Analyst
Required CredentialsBachelor's in Computer Science, coding skills, Bloomberg Terminal knowledgeBachelor's in Data Science, statistics, Bloomberg Terminal familiarity
Work EnvironmentHome office, computer programming, software developmentHome office, data analysis, reporting tasks
Employer & Industry UsageFinancial services, software development, Bloomberg LPFinancial services, data analysis, Bloomberg LP

Both roles are remote positions within Bloomberg, requiring familiarity with Bloomberg Terminal and industry-specific skills. The Software Engineer focuses on developing and maintaining software applications, while the Data Analyst specializes in analyzing financial data and generating reports. Understanding these differences helps candidates align their skills with the right role.

What cities are hiring for Home Based Bloomberg Software Engineer jobs? Cities with the most Home Based Bloomberg Software Engineer job openings:
What are the most commonly searched types of Bloomberg Software Engineer jobs? The most popular types of Bloomberg Software Engineer jobs are:
What states have the most Home Based Bloomberg Software Engineer jobs? States with the most job openings for Home Based Bloomberg Software Engineer jobs include:
Home Based Bloomberg Software Engineer jobs near you
Senior Software Engineer - Desktop Applications & Infrastructure

Senior Software Engineer - Desktop Applications & Infrastructure

Bloomberg LP

New York, NY • On-site

$134K - $176K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Senior Software Engineer - Desktop Applications & Infrastructure
Location
New York
Business Area
Engineering and CTO
Ref #
10052069
Description & Requirements
The Bloomberg Terminal is a desktop platform used by hundreds of thousands of financial professionals to analyze markets, execute trades, and make investment decisions. Every time a user launches one of the Terminal's thousands of applications, our code runs. The Desktop Applications & Infrastructure team owns the configuration platform that controls how every application on the Terminal is registered, discovered, and executed - handling tens of millions command executions daily. We also own the real-time financial data bar (The Quoteline) that gives users an at-a-glance snapshot of security information, one of the most visible components on the Bloomberg Terminal.
Desktop Applications & Infrastructure sits within the Application Frameworks group in Bloomberg Engineering. The mission of Application Frameworks is to deliver a seamless, industry-aligned, and fully-supported application platform that enables a delightful Terminal experience.
We're a small, collaborative team that thrives on high-impact work with low overhead. This allows us to focus on building things that matter: designing backend systems for scale, creating developer tools that make the entire platform ecosystem better, and shipping client-facing features.
What's in it for you
You'll have the chance to own and maintain infrastructure that underpins Bloomberg's flagship product. You'll work across the full stack - from high-performance backend services to client-facing UIs - and have direct influence on the technical direction of systems used by hundreds of thousands of financial professionals worldwide.
This is a role where your work is immediately visible and measurable.
Our Team
We own three key areas: the lifecycle platform that manages configuration, discoverability, and execution for every application on the Terminal; the infrastructure behind the real-time financial data bar seen by nearly every user; and a unified metadata API that serves as the single source of truth for application information across the platform, handling millions of requests daily.
We work closely with UX, Product, and application teams across the organization.
We'll trust you to
  • Design and build high-performance, scalable, and fault-tolerant systems
  • Collaborate with product, UX, and engineering teams across Bloomberg to own the full software development lifecycle, from gathering requirements and technical design through deployment
  • Adhere to and promote engineering standards and best practices in testing, instrumenting, monitoring, and performance tuning
  • Evaluate and apply technologies in distributed computing, storage, and messaging to solve complex technical problems

You'll need to have
  • 4+ years of professional software engineering experience
  • Experience with a non-memory-managed language such as C++, Rust, or Go
  • Experience designing or maintaining high-throughput distributed systems or APIs
  • A track record of producing high-quality, maintainable software and owning complex technical projects end-to-end
  • Proactive attitude with the ability to work independently and take ownership

We'd love to see
  • Experience using TypeScript, Rust, or C++
  • Experience with large-scale storage and caching technologies such as Comdb2, Redis, etc.
  • Familiarity with messaging queues and streaming frameworks such as Kafka, RabbitMQ, etc.
  • Prior experience with container technologies like Docker or similar
  • A passion for solving complex technical problems and building systems that empower other engineers

Salary Range = 160,000 - 240,000 USD Annual + 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.
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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981

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