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What is it like to work at Bloomberg?

Bloomberg is known for its fast-paced and dynamic work environment, driven by a culture of innovation and collaboration that encourages employees to think creatively and push boundaries. The company's global teams work together to deliver real-time financial data and news, with a focus on providing accurate and unbiased information to its clients. For those who thrive in a challenging and rapidly evolving industry, Bloomberg offers opportunities to work on cutting-edge projects and develop skills in data analysis, journalism, and technology.

What makes Bloomberg an attractive place to work?

Bloomberg is a leading global provider of financial data and analytics, known for its cutting-edge technology and influential market insights. The company offers a dynamic work environment that fosters innovation, collaboration, and professional growth, with opportunities to work on high-profile projects and contribute to the development of its industry-leading products. As a Bloomberg employee, you can expect to be part of a global network of professionals who drive business decisions and shape the financial landscape, with access to training and development programs that support your career advancement.

Does Bloomberg pay people when they’re sick?

Yes. Most people get paid when they’re sick.
82% of people say they would get paid if they were sick but scheduled to work.
Based on data from 11 people who took the Breakroom Quiz between January 2025 and January 2026.

Is the health insurance from Bloomberg affordable enough for their workers?

Most people say the health insurance costs are okay.
100% of people say the health insurance costs are okay
Based on data from 6 people who took the Breakroom Quiz between March 2025 and January 2026.

How easy is it to get time off at Bloomberg?

Most people find it easy to get time off.
80% of people report it’s easy to get time off.
Based on data from 10 people who took the Breakroom Quiz between January 2025 and January 2026.

How easy is it to take sick days at Bloomberg?

Most people find it easy to take sick days.
90% of people report that it’s easy to take time off if they are sick.
Based on data from 10 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people at Bloomberg feel treated with respect by their managers?

Most people feel treated with respect by their managers.
90% of people say they’re treated with respect by their managers.
Based on data from 10 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people at Bloomberg get to take their breaks without interruption?

Most people get breaks without interruption.
73% of people report that they get to take their breaks without interruption.
Based on data from 11 people who took the Breakroom Quiz between January 2025 and January 2026.

Is it stressful to work at Bloomberg?

Most people feel stressed here.
78% of people say they often feel stressed at work.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and July 2025.

Do people at Bloomberg enjoy their jobs?

Most people enjoy their job.
75% of people report they enjoy their job.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people at Bloomberg recommend working with their team?

Only some people recommend working with their team.
36% of people report that they wouldn’t recommend working with their immediate team to a friend.
Based on data from 11 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people get enough training when they start at Bloomberg?

Most people got enough training when they started.
100% of people report they got enough training when they started working here.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people get support to advance at Bloomberg?

Most people are given support to advance their career here.
In the last year, 73% of people report being given support to advance their career here.
Based on data from 11 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people think Bloomberg’s headquarters understands what’s happening where they work?

Most people think headquarters understands what’s happening where they work.
55% of people think that this employer’s headquarters or owners have a good understanding of what’s really happening where they work.
Based on data from 11 people who took the Breakroom Quiz between January 2025 and January 2026.

Do workers feel well informed about how Bloomberg is doing?

Most people feel well informed about how the company is doing.
80% of people feel that they are kept well informed about how the company is doing as a whole.
Based on data from 10 people who took the Breakroom Quiz between January 2025 and January 2026.

What other companies are hiring for Data Engineer jobs?

What are the most popular jobs at Bloomberg?

What are the most popular categories at Bloomberg?

Infographic showing various Data Engineer job openings at Bloomberg in the United States as of August 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 100% Physical job distribution.

Senior Data Management Professional - Data Engineering (Data AI)

Bloomberg L.P.

Princeton, NJ • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Re-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

11th of 245 rated software companies

Job description

Description & Requirements
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.
Our Team:
Data AI contributes to the building of Bloomberg's AI-enhanced products at scale by curating model training data and enhancing how our internal processes use AI. We provide evaluation and annotation frameworks connecting natural language processing and human judgment in order to elevate the quality, intelligence, and usability of the data that drives our products.
By investing in AI at a strategic level, we expand our practice of engaging with AI to one that is embedded across Data. Our internal processes to take advantage of new AI technologies and strengthen Data's role in providing robust domain expertise and influential data artifacts to Bloomberg's products. As a result our clients will continue to have high quality data and access to new types of datasets.
The Role:
As a Data Engineer within Data AI, you will build and evolve the infrastructure, data pipelines, and operational tooling that power scalable AI and data workflows. You will enable reliable data collection, annotation, training, and evaluation processes by developing systems that improve data quality, operational visibility, and workflow efficiency. Through automation, observability, and platform engineering, you will help create the foundations that allow teams to deliver data and AI products with confidence and at scale.
We'll trust you to:
  • Design, build, and maintain scalable data pipelines that support data collection, annotation, training, evaluation, analytics, and reporting workflows.
  • Develop and operate systems for dataset management, storage, versioning, and lifecycle governance to ensure reliable and reproducible AI workflows.
  • Implement monitoring, observability, and alerting capabilities that provide visibility into data quality, system health, and operational performance.
  • Build dashboards, tooling, and self-service capabilities that improve transparency, efficiency, and decision-making across data operations.
  • Partner with Product, Engineering, and Data teams to evolve the infrastructure and platforms supporting AI-enabled products and workflows.
  • Identify bottlenecks and opportunities for automation, delivering scalable solutions that improve reliability, consistency, and operational efficiency.

You'll need to have:
  • Bachelor's degree in Finance, Business, Economics, Accounting, STEM or degree-equivalent qualifications
  • 3+ years in data engineering (Python, SQL)
  • Experience building ETL/data pipelines at scale and creating data collection frameworks for structured and unstructured data
  • Experience with data modeling and developing proactive data quality strategies that ensure data is fit for purpose
  • Experience working with ML/AI datasets or experimentation workflows.
  • Excellent problem-solving and analytical thinking skills with strong attention to detail.
  • Proven track record of stakeholder relationship management, communication, and cross-team collaboration.

We'd love to see:
  • Keen interest in and familiarity with generative AI frameworks and the requirements of Agentic AI.
  • Experience in semantic structures or large scale data modeling
  • Experience using data visualization tools such as Tableau, QlikSense, or PowerBI
  • Experience developing or managing annotation programs and training/evaluation datasets for ML or NLP models.
  • Deep domain expertise in financial markets/news and understanding of our customers' needs.

If this sounds like you:
Apply! If you think we're a good match. We'll get in touch to let you know the next steps!
Salary Range = 110,000 - 190,000 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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