Solid Engineering Gig Getting Better Every Year - Software Engineer Bloomberg Employee Review

4.0
31 Oct 2018
Recommend
CEO approval
Business outlook

Pros

While others' reports of some outdated technologies and an in-house tech stack that can make transfer of knowledge of to other companies less than what it could be, there's a very clear company effort to modernize. On top of that, it seems like the company has invested in its engineers to compete with some of the other top firms (especially true for the intern program), and it shows in the level of talent that the company attracts. Overall this is a very competent engineering department and a good place to work that's getting better every year.

Cons

Outdated technologies and a largely in-house tech stack

Explore other reviews about Bloomberg

5.0
11 Jun 2026
Recommend
CEO approval
Business outlook

Pros

Great company, in this role you have the chance to learn about the financial markets, the terminal, and also you get client exposure.

Cons

Not really cons, culture is great.

4.0
28 Jun 2026
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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