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Home Based Bloomberg Software Engineer Jobs in California

Software Engineer

Mountain View, CA · On-site

$215K - $278K/yr

... Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI ... What You Will Do * Develop a software-based platform that can scale indefinitely, including ...

Software Engineer

Mountain View, CA · On-site

$187K - $234K/yr

... Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI ... What You Will Do * Develop a software-based platform that can scale indefinitely, including ...

Software Engineer

Mountain View, CA · On-site +1

$187K - $234K/yr

... Bloomberg's AI Startups to Watch (2026), Forbes AI 50, and Gartner's Tech Innovators in Agentic AI ... What You Will Do * Develop a software-based platform that can scale indefinitely, including ...

Software Engineer

Santa Clara, CA · On-site

$226K - $227K/yr

Job ID: 25-11020 Software Engineer - SWE2501 Intelliswift Software, Inc. is seeking a qualified professional to fill the position of Software Engineer based in Santa Clara, CA. Job duties • Design ...

Software Engineer

Newark, CA · On-site

$181K - $190K/yr

Intelliswift Software, Inc. is seeking a qualified professional to fill the position of Software Engineer based in Newark, CA. Job duties - Design, develop and implement customized enterprise-wide ...

The Software Engineer will develop and maintain electrical systems applications that deliver ... based applications • Install, configure, and manage required databases (e.g., NoSQL and ...

Software Engineer

San Francisco, CA · On-site

$150K - $300K/yr

About Broccoli Broccoli is building the AI operating system for home service businesses . We work ... Learn fast by working directly with customers and iterating based on real usage What You'll Bring ...

Functional section - this is a take-home test Step 2 Panel interview (in-person at eGain Sunnyvale ... Stock options. Please note that the compensation package can vary based on the candidate ...

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Showing results 1-20

Home Based Bloomberg Software Engineer information

What is the difference between Home Based Bloomberg Software Engineer vs Remote Bloomberg Data Analyst?

AspectHome Based Bloomberg Software EngineerRemote Bloomberg Data Analyst
Required CredentialsBachelor's in Computer Science, coding skills, Bloomberg Terminal knowledgeBachelor's in Data Science, statistics, Bloomberg Terminal familiarity
Work EnvironmentHome office, computer programming, software developmentHome office, data analysis, reporting tasks
Employer & Industry UsageFinancial services, software development, Bloomberg LPFinancial services, data analysis, Bloomberg LP

Both roles are remote positions within Bloomberg, requiring familiarity with Bloomberg Terminal and industry-specific skills. The Software Engineer focuses on developing and maintaining software applications, while the Data Analyst specializes in analyzing financial data and generating reports. Understanding these differences helps candidates align their skills with the right role.

What are the most commonly searched types of Bloomberg Software Engineer jobs in California? The most popular types of Bloomberg Software Engineer jobs in California are:
What cities in California are hiring for Home Based Bloomberg Software Engineer jobs? Cities in California with the most Home Based Bloomberg Software Engineer job openings:
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 6 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.
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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