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Bloomberg Api Jobs (NOW HIRING)

MARS Solutions Group

TLM Tester (CRD & AIM)

Boston, MA · On-site

$60 - $65/hr

... with Bloomberg API or data services. Additional Information - Work schedule (Boston MA preferred, Remote Possible) - Hours per week (40 hrs per week, M-F) - Contract length (6 Months) About MARS ...

Glean

Product Manager, API Platform

Mountain View, CA · On-site

... Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI ... As Glean's PM on API Platform, you will lead the development of Glean's APIs, SDKs and MCP strategy ...

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How much do bloomberg api jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for bloomberg api in the United States is $59.89, according to ZipRecruiter salary data. Most workers in this role earn between $54.57 and $67.31 per hour, depending on experience, location, and employer.

What is the Bloomberg API?

The Bloomberg API, also known as Bloomberg Open API (BLPAPI), is a set of programming interfaces that allow users to access Bloomberg's real-time and historical financial data programmatically. It enables developers and financial professionals to integrate Bloomberg data into their own applications, spreadsheets, or trading systems. The API supports multiple programming languages, including Python, Java, C++, and C#, making it versatile for a variety of use cases. To use the Bloomberg API, you typically need a Bloomberg Terminal subscription and the appropriate software installed.

What are the key skills and qualifications needed to thrive as a Bloomberg API Developer, and why are they important?

To thrive as a Bloomberg API Developer, you need strong programming skills (such as Python, C++, or Java), experience with financial data, and familiarity with the Bloomberg Terminal and its API documentation. Proficiency in using Bloomberg’s API tools (like Bloomberg API SDKs) and understanding of data integration or automation platforms are typically required. Analytical thinking, problem-solving abilities, and clear communication are valuable soft skills for interpreting requirements and collaborating with financial professionals. These skills ensure accurate integration, timely delivery of financial data, and effective support for trading, analysis, or reporting workflows.

What is the difference between Bloomberg Api vs Bloomberg Data Analyst?

AspectBloomberg ApiBloomberg Data Analyst
Required CredentialsTechnical certifications, API integration skillsDegree in finance, economics, or related field
Work EnvironmentDevelopers, IT teams, financial technology firmsFinancial institutions, investment firms, data teams
Employer & Industry UsageFinancial technology companies, data providersAsset management, banking, financial analysis
Common Search & ComparisonAPI integration, data retrieval, programmingFinancial data analysis, reporting, market research

Bloomberg Api primarily involves technical skills for integrating and retrieving financial data via APIs, often used by developers and IT professionals. In contrast, Bloomberg Data Analysts focus on analyzing and interpreting financial data to support decision-making within financial institutions. While both roles work with Bloomberg data, their core functions and required skills differ significantly.

What are some common challenges faced by professionals working with the Bloomberg API, and how can they be addressed?

Professionals working with the Bloomberg API often encounter challenges such as managing data request limits, handling complex data structures, and ensuring data integrity in real-time applications. It’s important to have a strong understanding of both the API documentation and the programming language being used (like Python, C++, or Java). Collaborating closely with other developers and Bloomberg support, as well as regularly testing and optimizing your code for performance, can help mitigate these challenges. Staying up to date with platform updates and participating in user forums also provides valuable insights and solutions.
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Bloomberg Api jobs near you
Software Development Engineer III

Software Development Engineer III

Clearwater Analytics

Manhattan, NY • On-site

Full-time

Re-posted 14 days ago

Job description

Job Summary:
Clearwater Analytics is a company that provides a front office platform called Beacon for investment banks, hedge funds, asset managers, and insurance companies. They are seeking a Software Development Engineer III to build market data ingestion pipelines, trade ingestion systems, and ETL workflows that support financial data processing.
Responsibilities:
• Market data ingestion pipelines, connecting to third-party vendors (Bloomberg, Refinitiv) and normalizing pricing, reference, and corporate action data
• Trade ingestion systems, including high-frequency trade processing and reconciliation
• Time series frameworks for storing and querying financial data efficiently
• ETL and data pipelines that move and transform investment data reliably at scale
• Integrations with third-party financial platforms and internal Beacon framework features
Qualifications:
Required:
• Python proficiency, production-grade Python, not just scripts
• Finance domain exposure, you've worked with financial instruments (equities, fixed income, derivatives, FX) in a professional context. Banking, fintech, asset management, or financial data all count.
• SQL fluency, comfortable writing complex queries and understanding query performance
• Data pipeline experience, you've built or maintained ETL/ELT workflows in production
• CS fundamentals, data structures, algorithms, system design basics
Preferred:
• Experience with Kafka, Redis, or other streaming/messaging systems
• Familiarity with market data vendors or financial data formats (FIX, FPML, Bloomberg API)
• Cloud experience, AWS or Azure in a data engineering context
• NoSQL databases (MongoDB, Cassandra, DynamoDB) alongside relational
• Prior experience at a bank, hedge fund, asset manager, or fintech
Company:
Clearwater Analytics is a SaaS company, providing automated investment accounting, performance, and analytics for institutional investors. Founded in 2004, the company is headquartered in Boise, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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