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Bloomberg Jobs in California (NOW HIRING)

idexcel

Desktop support Engineer 4

San Francisco, CA · On-site

San Francisco, CA Hourly rate: $ 38.00 / hr on w2 Description Top Needs: 1. Knowledge of financial applications a plus 2. Trade floor experience (Market Data applications such as Bloomberg, Reuters ...

Gibson Dunn

Assistant Managing Attorney

Los Angeles, CA · On-site

$230K/yr

Electronically monitor all active firm matters, cases and litigants of interest through various databases (Bloomberg Law, E-Courts, CourtAlert, etc.). * Provide sample forms of pleadings and other ...

3B Staffing LLC

Python/Data Engineer

Irvine, CA · On-site

Databases Postgress, S3 technologies, Integrating with market data providers like Bloomberg, TradeWeb etc. * Should have worked on any ETL pipeline * 10-12 years of Experience in Asset management or ...

Bellwether

Senior Associate, CMBS Debt

El Segundo, CA · On-site

Leverage Intex, Trepp, Bloomberg, CoStar, Vichara, Axiometrics, and other internal/external data sources to improve surveillance efficiency, data integrity, and investment decision-making; * Build ...

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How much do bloomberg jobs pay per hour?

As of Jul 26, 2026, the average hourly pay for bloomberg in California is $28.72, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $32.50 per hour, depending on experience, location, and employer.

What does a Bloomberg Terminal operator do?

A Bloomberg Terminal operator is responsible for managing and utilizing the Bloomberg Terminal, a specialized computer system that provides real-time financial data, news, and analytics to finance professionals. They assist users in navigating the platform, extracting relevant data, and leveraging the terminal's tools for trading, research, and investment decision-making. Their role often involves training others, troubleshooting technical issues, and ensuring users are maximizing the terminal's capabilities.

What jobs make $1,000,000 a year?

High-level executive roles such as Chief Executive Officers (CEOs), Chief Investment Officers, and hedge fund managers often earn $1,000,000 or more annually, especially in finance and investment firms. These positions typically require extensive experience, advanced skills, and often involve performance-based bonuses and stock options that significantly increase total compensation.

What is the difference between Bloomberg vs Reuters Journalist?

AspectBloombergReuters Journalist
Required CredentialsBachelor's degree in journalism, finance, or related fields; often requires financial certificationsBachelor's degree in journalism, communications, or related fields; financial certifications are common but not mandatory
Work EnvironmentFast-paced, deadline-driven financial news environment; often in offices in major financial hubsGlobal newsrooms with a focus on timely, accurate reporting across various sectors
Employer & Industry UsagePrimarily financial services, investment firms, and corporate clientsMedia, news agencies, and global financial institutions

Both Bloomberg and Reuters journalists work in fast-paced news environments, often covering financial markets. Bloomberg journalists tend to focus more on financial data and analytics, while Reuters journalists cover a broader range of news topics. Both roles require strong reporting skills, a good understanding of finance, and the ability to work under tight deadlines.

How much do Bloomberg workers make?

Bloomberg employees' salaries vary by role, experience, and location, but the average annual salary for a Bloomberg analyst is around $80,000 to $100,000, with some positions paying higher. Entry-level roles typically start at lower salaries, while experienced professionals and those in specialized positions can earn significantly more. Compensation often includes bonuses and benefits aligned with industry standards for financial and media firms.

What are some typical challenges faced by professionals working at Bloomberg, and how can new hires best prepare for them?

Professionals at Bloomberg often work in a fast-paced, deadline-driven environment where adaptability and quick problem-solving are essential. New hires may find it challenging to balance multiple projects while learning complex proprietary systems and staying updated on real-time market data. Proactively seeking mentorship, leveraging the company's extensive training resources, and collaborating closely with experienced colleagues can help ease the transition. Embracing continuous learning and being open to feedback are key to thriving at Bloomberg.

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

To thrive as a Bloomberg Terminal Specialist, you need strong financial market knowledge, analytical skills, and familiarity with data analysis, typically supported by a finance or business degree. Proficiency in using the Bloomberg Terminal, Microsoft Excel, and possibly certifications like Bloomberg Market Concepts (BMC) is essential. Excellent communication, customer service, and problem-solving abilities help you support users and clarify complex financial data. These skills ensure effective use of the platform, timely resolution of client queries, and accurate analysis for decision-making in fast-paced financial environments.

What jobs make $3,000 a day?

High-paying jobs that can earn $3,000 a day typically include roles such as investment bankers, senior traders, specialized surgeons, and top executives. These positions often require advanced skills, extensive experience, and sometimes certifications, with compensation often including bonuses or profit sharing that contribute to high daily earnings.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as investment bankers, hedge fund managers, senior corporate executives, and specialized surgeons. These positions typically require advanced degrees, extensive experience, and often involve high levels of responsibility, performance bonuses, or profit sharing. Compensation varies based on industry, location, and individual performance.
What are popular job titles related to Bloomberg jobs in California? For Bloomberg jobs in California, the most frequently searched job titles are:
What job categories do people searching Bloomberg jobs in California look for? The top searched job categories for Bloomberg jobs in California are:
What cities in California are hiring for Bloomberg jobs? Cities in California with the most Bloomberg job openings:
Bloomberg jobs near you
Infographic showing various Bloomberg job openings in California as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $59,732 per year, or $28.7 per hour.
Senior Software Engineer - Custom Data

Senior Software Engineer - Custom Data

Bloomberg LP

San Francisco, CA • On-site

$144K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 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 245 rated software companies

Job description

Senior Software Engineer - Custom Data
Location
San Francisco
Business Area
Engineering and CTO
Ref #
10052721
Description & Requirements
Our team
The Custom Data team helps clients to bring their firm's private datasets into the Bloomberg ecosystem. It lets them link proprietary data stores directly to the Terminal and across our Enterprise suite, so teams can collaborate on the same live data, tailor workflows end-to-end, and embed custom analytics at every stage of the investment cycle (from idea generation through execution and post-trade reporting).
For buy-side firms like mutual funds, hedge funds and pensions, Custom data transforms the Terminal from a solo research tool into a shared intelligence platform.
The Custom Data platform delivers a managed infrastructure encompassing the end-to-end lifecycle of proprietary institutional data.
Key Capabilities
  • Metadata and Access Management: Offers tools to define metadata for proprietary data and manage access to govern data access.
  • Ingest Pipelines: Provides both interactive and batch ingest pipelines to facilitate the transfer of data from the client environment into the Bloomberg ecosystem.
  • Rich Key Structure: Enables clients to store data against a combination of one or more financial attributes.
  • Auditing Capabilities: Ensures the transparency and 'paper trail' necessary for regulatory compliance and internal data integrity.
  • APIs for Integration: provides standardized Read APIs that seamlessly embed data within Bloomberg's ecosystem, including the Terminal, execution platforms, and risk workflows.
  • Data Extraction: Supplies Data and Audit feeds to facilitate the extraction of client-provided data outside the Bloomberg ecosystem.

System Scale and Performance:
  • The system processes in excess of 250 million daily requests, comprising 150 million metadata requests and 100 million read queries.
  • It serves approximately 65 billion data points across interactive, reporting, batch, and screening applications.
  • The platform manages data for 11,000 firms, encompassing 365,000 unique fields.
  • It maintains stringent latency requirements to support real-time Bloomberg Terminal workflows.

We'll trust you to:
  • Design and implement features in the product while adhering to strict latency requirements.
  • Write maintainable and production-quality code.
  • Contribute to system design and refactor Python and C++ services to follow clean, single-responsibility principles.
  • Evaluate next-generation storage solutions.
  • Modernize Custom data integration with standard Bloomberg APIs.
  • Own observability from metrics to dashboards, defining clear SLIs and SLOs.
  • Design tools to improve team oncall/operational experience.
  • Partner with other enterprise teams in Bloomberg to evolve the future of Custom data at Bloomberg.
  • Mentor junior engineers in the team on best engineering practices.

You'll need to have:
  • 4+ years of experience in backend engineering, ideally with Python
  • Strong system design and debugging skills in production environments
  • Familiarity with distributed messaging or stream-processing frameworks (Kafka preferred)
  • Familiarity with relational and noSQL datastores at Bloomberg (Cassandra preferred)
  • A strong product mindset paired with genuine empathy for client needs
  • A degree in Computer Science, Engineering, or equivalent work experience

We'd love to see:
  • Familiarity with Python standards and tooling
  • Background in distributed systems like Kafka, Redis, Cassandra, or HBase
  • Experience with CI/CD pipelines, automated testing, or system observability
  • Exposure to containerized environments using Docker or Kubernetes

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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