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Summer Bloomberg Software Engineer Jobs (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 ...

Calypso Principal Software Engineer

Johnston, RI · On-site +1

$135K - $182K/yr

IT - Calypso Principal Software Engineer Location: Johnston, RI - Remote Duration: 12 months ... with market utilities (DTCC, FedWire, Bloomberg, AcadiaSoft, TriResolve), and application ...

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Summer Bloomberg Software Engineer information

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How much do summer bloomberg software engineer jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for summer bloomberg software engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What is the difference between Summer Bloomberg Software Engineer vs Summer Data Analyst?

AspectSummer Bloomberg Software EngineerSummer Data Analyst
Required CredentialsComputer Science degree or related field, coding skillsStatistics, Data Science, or related degree, analytical skills
Work EnvironmentSoftware development teams, coding, testingData analysis, reporting, visualization
Employer & Industry UsageFinancial technology, software developmentFinance, market research, data-driven roles

The Summer Bloomberg Software Engineer focuses on developing and testing software applications within the financial industry, requiring coding and technical skills. In contrast, the Summer Data Analyst emphasizes analyzing data sets to inform business decisions, often involving statistical tools. Both roles are popular summer internships at Bloomberg, but they serve different functions within the company's tech and finance operations.

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Infographic showing various Summer Bloomberg Software Engineer job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 8% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Senior Software Engineer - BQL

Bloomberg

Manhattan, NY • On-site

$160 - $240/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 19 days ago


Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 244 rated software companies


Job description

To capture opportunities and evaluate risk in fast‑moving markets, financial institutions of all sizes require performant access to the wealth of financial data and analytics available across Bloomberg’s ecosystem. The Bloomberg Query Language (BQL) is the nexus of this data access and distributed analytics. Through an intuitive workflow construction and querying language, BQL enhances our client’s experience by unifying access to Bloomberg’s external APIs and internal services. It’s a one‑stop‑shop used directly by clients via a powerful Excel Plugin, it is the powerhouse behind Bloomberg’s BQuant product and is used internally by domain application teams to build Terminal Functions.

A core team of 100+ engineers is passionately working on multiple initiatives:

  • Providing unified and consistent access and analytics on top of Bloomberg’s rich data through a common API and expression language.
  • Scaling the BQL infrastructure to handle more users, and more challenging use cases and datasets.
  • Developing infrastructure and workflows for domain application teams around the company to accelerate onboarding processes for new datasets in BQL.
We’ll trust you to
  • Adapt to large, complex, and interconnected systems
  • Collaborate on problem solving, design, and implementation
  • Innovate with all of your solutions
  • Evolve yourself, the code, systems, teams, and tools
  • Think about the bigger picture
  • Integrate your solutions with the BQL ecosystem
  • Own your solutions from inception through release
What We’re Looking For
  • 4+ years of experience scaling applications and services in a modern programming language (C++, Java, Scala, Go, Python, JavaScript, etc.).
  • Strong understanding of the internals of the languages and frameworks you use, and how they scale (or don’t) to different problems.
  • Hands‑on experience with large‑scale data processing: indexing, joining, aggregating, parallelism, orchestration, compression, and sharding.
  • Proficiency with test‑driven design and development.
  • BA, BS, MS, or PhD in Computer Science, Electrical Engineering, or a related technical field.

Have experience in some of these areas but not all? The Bloomberg Engineering culture is growth oriented, and has loads of opportunities for you to fill in these gaps along the way in your career. Through our very active and vast guild community covering most languages, technologies, and problem spaces, you can build a strong network to leverage, and expertise to bring innovation into your 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