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      Engineering resume builder, but impossible to level up - highly competitive and bro-esqe culture - Senior Software Engineer Bloomberg Employee Review

      2.0
      Apr 17, 2024
      Senior software engineer
      Recommend
      CEO approval
      Business Outlook

      Pros

      Top notch offices and equipement. Great HR team. Great exposure to a valuable industry, products, and sales force. Working with leading tech. Good compensation and benefits.

      Cons

      Big pay gaps across engineers of similar experience. On-call is demanding. Heavy emphasis and enforcement of in-office time impedes on individual contributors ability to produce the best work. Lots of cliq-y behavior in middle and upper management. Heavy emphasis on advancing the careers of foreign folks and POC (Visa sponsorship reciprocity), contributions are largely ignored no matter how large the task is. Little to no exposure to higher ups which makes it impossible to level up after contextual spin up of products / software.

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      5.0
      Jul 16, 2026
      Acounts manager
      Recommend
      CEO approval
      Business Outlook

      Pros

      Great benefits and people are very supportive

      Cons

      Flat hierarchical structure is tough sometimes to crack

      4.0
      Jun 28, 2026
      Data management professional internship
      Recommend
      CEO approval
      Business Outlook

      Pros

      Opportunities to do lots of work with data and finance to apply knowledge in both programming and Subject-Matter Expertise (SME). Excellent Work-Life Balance (WLB) and extremely welcoming culture. You can reach out to anyone for help or just to talk, and they will get back to you (although management does require more scheduling in advance). Generous compensation (good wage) and benefits, including housing for interns. If you heard the rumors that the Bloomberg Princeton office has a great Bloomberg Pantry (read: company-provided breakfast and lunch), the rumors are true.

      Cons

      Not the place for those looking for cutting-edge AI. The company is not as fast with AI as the company prioritizes reliability and accuracy above all, and much of AI is not at an acceptable threshold for management to be willing to take that risk with financial data (at least in 2026). You may get a project to automate menial processes, which is really cool, but that tends to involve actually doing the menial processes, which feels unproductive. Princeton office is good but New York is considered preferable. Coworkers are not very reachable outside of work hours. Compensation is low in Data compared to Software Engineers.

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