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Weekend Bloomberg Software Engineer Jobs (NOW HIRING)

Bloomberg LP

Senior Software Engineer - Buy-Side

New York, NY · On-site

$134K - $176K/yr

Senior Software Engineer - Buy-Side Location New York Business Area Engineering and CTO Ref ... Powering Global Asset Management at Scale Bloomberg Buy-Side delivers a comprehensive, multi-asset ...

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Weekend Bloomberg Software Engineer information

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How much do weekend bloomberg software engineer jobs pay per year?

As of Jul 6, 2026, the average yearly pay for weekend 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 Weekend Bloomberg Software Engineer vs Weekend Bloomberg Data Analyst?

AspectWeekend Bloomberg Software EngineerWeekend Bloomberg Data Analyst
Required CredentialsBachelor's in Computer Science or related field, coding skillsBachelor's in Statistics, Economics, or related field, analytical skills
Work EnvironmentDeveloping and maintaining software tools, coding on weekendsAnalyzing financial data, generating reports, data interpretation
Employer & Industry UsageFinancial services, technology, Bloomberg terminalsFinancial services, market analysis, Bloomberg data platforms

The Weekend Bloomberg Software Engineer focuses on coding and software development tasks, while the Weekend Bloomberg Data Analyst specializes in analyzing financial data and generating insights. Both roles require familiarity with Bloomberg systems but differ in technical skills and daily responsibilities.

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Weekend Bloomberg Software Engineer jobs near you
Senior Software Engineer - Hadoop Infrastructure

Senior Software Engineer - Hadoop Infrastructure

Bloomberg LP

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

11th of 202 rated software companies

Job description

Senior Software Engineer - Hadoop Infrastructure
Location
New York
Business Area
Engineering and CTO
Ref #
10049929
Description & Requirements
The Team
Bloomberg runs on data! It's our business and our product. Financial institutions need timely, accurate data to capture opportunities and evaluate risk in fast-moving markets, from the biggest banks to elite hedge funds.
Bloomberg's application teams face complex challenges - large-scale data storage, low-latency retrievals, high-volume requests, and high availability over a distributed computing and storage environment.
Hadoop Infrastructure's mission is to provide a multi-tenant, observable, and highly available infrastructure backed by the open-source Apache Hadoop platform (HDFS, HBase, Hive, Oozie, YARN/Spark, etc.) to support large-scale data applications across Bloomberg. The Hadoop Infrastructure team manages clusters that handle 10s of PB of storage spread across 1000s of servers running 100s of billions of requests per day and running 10s of thousands of jobs hitting 100s of thousands of tables every day. We also provide standard methodologies and domain expertise on Hadoop services to applications across various product domains at Bloomberg.
Who are you?
  • You are a dedicated and motivated engineer interested in building and managing large-scale distributed systems, looking for a tight-knit, collaborative team
  • You are an innovative problem solver who enjoys working in multiple roles and thrives in a fast-paced environment
  • You want to make a significant impact and contribute to open-source software

We'll trust you to:
  • Advance how tenants from multiple product domains leverage Hadoop Infrastructure services to meet their goals
  • Provide and improve our capabilities to migrate and support a massive data and compute footprint (10s of PB) to newer versions
  • Improve our tenants' user experience when securely interacting with powerful underlying infrastructure frameworks
  • Understand and improve the usability, reliability, and scalability of open-source Apache Hadoop services to optimize for the needs of Bloomberg application teams

You'll need to have:
  • 4+ years of demonstrated experience working with an object-oriented programming language (Java) and associated technologies (eg. Spring/JMX/JDBC)
  • A degree in Computer Science, Engineering or similar field of study or equivalent work experience
  • 3+ years of experience in the Hadoop ecosystem and related technologies (HBase, Hive 3, HDFS, Spark, Oozie)
  • Knowledge of modern development methodologies and tools (Jenkins/Maven/Jira)
  • Solid understanding of Linux Operating system, Shell scripting, OS troubleshooting
  • Strong problem-solving and communication skills

We'd love to see:
  • Experience working with open-source software/community
  • Experience with distributed systems architecture and system design
  • Knowledge of Ansible
  • Experience with workflow automation tools like Airflow, Argo, etc.

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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