Senior Software Engineer - Derivatives Market Data Infrastructure | San Francisco, CA | Bloomberg Careers

Senior Software Engineer - Derivatives Market Data Infrastructure

Careers at Bloomberg

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San Francisco, CA

Posted Dec 29, 2022 - Requisition No. 112807

Bloomberg is the global leader in financial data and analytics. Financial Derivatives Instruments across several asset classes (foreign exchange, fixed income, equity, index, commodity, credit, etc) trade millions of times a day in a multi-trillion dollar market throughout the world. 

The mission of the Derivatives Data Pipeline Infrastructure team is to provide cutting edge, reliable and easy to use infrastructure for ingesting, storing, processing and interacting that helps developing data intensive financial applications.

What’s in it for you?

The Data Pipeline Infrastructure team is looking for engineers with a passion for building world class infrastructure products. You will work with many cross-functional infrastructure and application teams on defining, designing and implementing streaming infrastructure components and data lake, as well as growing the internal community, with the end goal of delivering  better financial products.  

Responsibilities will include

  • Build and operate data infrastructure supporting billions of market data per day.
  • Scale and operationalize big data technologies like Spark, Kafka, Presto, Flink, Hadoop
  • Ensure data infrastructure offers reliable high-quality data with consistent SLAs
  • Write code, documentation, participate in code reviews, and mentor other engineers
  • Work with open source community and present in technical conferences 

You'll need to have:

  • 4+ years of experience scaling and operating distributed systems like big data processing engines (e.g., Apache Hadoop, Apache Spark), streaming systems (e.g., Apache Flink, Apache Kafka), or data lake technologies (e.g., Delta Lake, Apache Iceberg, Apache Huidi)
  • Fluency in Java, Scala or a similar language
  • Ability to debug complex issues in large scale distributed systems
  • Passion for building infrastructure that is reliable, easy to use and easy to maintain
  • BA, BS, MS, PhD in Computer Science, Electrical Engineering or related technology field

We'd love to see:

  • Outstanding communication skills
  • Proven data infrastructure design and implementation capabilities 
  • A self-starter, comfortable with ambiguity and has curiosity to understand application development challenges in the financial domain.

Bloomberg is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email

Salary Range: 160,000 - 240,000 USD Annually + 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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