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Bloomberg Software Engineer Jobs in New York (NOW HIRING)

The Bloomberg Query Language (BQL) is the nexus of this data access and distributed analytics ... A core team of 100+ engineers is passionately working on multiple initiatives: * Providing unified ...

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Bloomberg Software Engineer information

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$69.5K

$161.4K

$224.8K

How much do bloomberg software engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for bloomberg software engineer in New York is $161,396.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,300.00 and $189,300.00 per year, depending on experience, location, and employer.

What is a Bloomberg software engineer?

A Bloomberg Software Engineer is responsible for designing, developing, and maintaining the financial software and infrastructure that powers Bloomberg's data, analytics, and trading platforms. They work with technologies such as C++, Python, and JavaScript to build scalable and efficient systems. Engineers collaborate closely with product managers and financial analysts to develop solutions that meet the needs of Bloomberg's clients. The role requires strong problem-solving skills, knowledge of algorithms and data structures, and the ability to write clean, high-performance code.

What does a Bloomberg software engineer do?

As a Bloomberg Software Engineer, you'll spend your days developing and maintaining software solutions that power Bloomberg's real-time financial information systems. This involves a mix of designing scalable code, troubleshooting performance issues, participating in code reviews, and collaborating closely with product managers, data specialists, and other engineers. You can expect to work in an agile, team-oriented environment with frequent meetings focused on product development and solution brainstorming. The work is fast-paced but offers a rich opportunity to learn from talented peers and contribute to impactful, real-world financial technology.

What are the key skills and qualifications needed to thrive as a Bloomberg software engineer?

To thrive as a Bloomberg Software Engineer, you typically need strong programming skills in languages such as C++, Python, or Java, a solid foundation in computer science, and a bachelor's degree in a related field. Familiarity with distributed systems, real-time data processing, and tools like Git or Jenkins is commonly expected, while industry certifications can be an advantage but are not mandatory. Excellent problem-solving abilities, teamwork, and effective communication are essential soft skills in this collaborative, high-paced environment. These competencies ensure you can deliver robust, scalable solutions and work effectively within Bloomberg's dynamic software engineering teams.

What are the most commonly searched types of Bloomberg Software Engineer jobs in New York?

The most popular types of Bloomberg Software Engineer jobs in New York are:

What cities in New York are hiring for Bloomberg Software Engineer jobs?

Cities in New York with the most Bloomberg Software Engineer job openings:

Infographic showing various Bloomberg Software Engineer job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $161,396 per year, or $77.6 per hour.

Senior Software Engineer - Bloomberg Product Identifier Repository

Bloomberg LP

New York, NY • On-site

$134K - $176K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago


Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

12th of 246 rated software companies


Job description

Senior Software Engineer - Bloomberg Product Identifier Repository
Location
New York
Business Area
Engineering and CTO
Ref #
10052323
Description & Requirements
Bloomberg runs on financial data. Every price, corporate action, benchmark, security master update, point-in-time view, and derived fact must be correct, fast, durable, and available at global scale.
Our team manages some of the most important Economic and Reference rate benchmark tickers and provides pricing to multiple analytics and client driven applications across Bloomberg. We provide APIs and platform for tickerization of non-securitized entities and a pipeline to provide fast, high volume access to pricing and timeseries for such entities.
This is a role for engineers who want to work close to the metal of distributed data systems. You will evaluate latency and throughput requirements, cache optimizations and safe production rollout. In addition, the role also requires strong architectural knowledge and you will be responsible for rearchitecting the data flow for a core part of Bloomberg's entity and pricing delivery system.
Our Team
BPIR and TS Integrations stands for Bloomberg Product Identifier Repository and Timeseries Integrations - our team is at the crossroads of creating non-securitized identifiers as tickers and providing pricing to clients through well-known interfaces such as Calcrt, BQL and BVAL. Our system and interfaces are designed for high throughput, sub-millisecond performance.
Our team owns a critical ticker database with some of the highest hit tickers in Bloomberg. We provide configurable interfaces to allow other teams to integrate their entities as tickers in Bloomberg. We also own pricing APIs that are embedded into derived calculations for BVAL, Derivatives and other Fixed Income instruments.
What's in it for you
  • Responsible for modernizing one of Bloomberg's key ticker management systems for the future
  • Build a high-speed distributed lookup system built on top of Bloomberg Data Platform's storage systems
  • Work with core Bloomberg stakeholders, define data models and implement them with an eye for the future

We'll trust you to
  • Interact with development teams across Bloomberg and understand their application and/or business requirements as well as their data access patterns
  • Design and develop systems that meet latency, volume, storage, scale and high availability expectations
  • Influence architectural decisions
  • Take ownership of components within our infrastructure and ensure CI/CD guidelines and SDLC best practices are properly implemented and maintained
You'll need to have
  • 4+ years working with an object-oriented programming language (C/C++, Python, Java, etc.)
  • A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
  • Deep experience or strong interest in database internals, distributed systems, storage engines or large-scale data infrastructure
  • Strong debugging skills across application code, infrastructure, networking and Linux

We'd love to see
  • Experience with distributed systems
  • Experience with modern data technologies - Hadoop, HBase, Kafka
  • A track record of building reliable systems where correctness, latency, and operability matter
  • A passion for mentoring engineers and raising the technical bar of a platform team

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.
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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