Mostly great, with some room for improvement - Senior Software Engineer Bloomberg Employee Review

4.0
20 Dec 2021
Recommend
CEO approval
Business outlook

Pros

- Job security - company does great during economic turmoil - Very good culture, supportive environment (helping each other) - Company runs training and mentoring for non-engineering roles, encouraging and supporting internal moves into software eng - Continuous learning - internal meetups, mentoring programs, text and video materials and courses/classes and managers are mostly supporting it - A lot of talented people that try to share knowledge - Internal meetups for enthusiasts of various topics such astesting, design, your fav language, etc. - People stick around more than in other big tech, you can see quite a lot of very experienced engineers around - Very good compensation (not as good as FANGs, but still above market) - Transfer to the USA is possible (most likely New York HQ) - Easy to change team/role - No levels - you are either engineer (entry) or senior engineer (experienced) - Heterogeneous technology stack (you'll find your niche) - If you like C++ - they are good and respected in the field - No cut-throat atmosphere among peers - I've seen a lot of support provided for struggling individuals - We used to be allowed to work from any office (before the pandemic); some were using it for travelling around the world with family - For those who are allowed to work from home - it was pretty generous before the pandemic (unofficial limits were pretty generous) - Flexible working arrangements (4-day work weeks) - Free snacks (not meals) - Company is present in many industries, so it has more diversity and opportunity to change career path than FANGs - No overtime, death marches, weekend assignments etc. - Opportunities to do social work, such as teaching maths or reading at local school - Backend is Linux and mostly open source

Cons

- 9 hours work day - A lot of legacy C++ applications with nasty workflows - Terminal frontend is JavaScript, but it's not a JavaScript that will count in other frontend roles (proprietary tooling) - Recent obsession with standardization on Visual Studio Code - Windows "workstations" to write UNIX software (being fair: MacBooks are pretty popular as well). - Some areas are political and with nasty backstabbing - Most interesting stuff happens in the US - Easy to sleepwalk into a dead end if you are not proactive about your career - Benefits somewhat poor compared to other tech companies - No free healthy food - just junk food - Compensation does not match FANG big-tech companies; Bloomberg is not a public company and does not grant stock; cash bonuses do not compensate for lack of RSUs - Too many experienced and valuable contributors move to FANG, replaced by fresh undergrads; nothing against fresh undergrads, but healthy proportions should be maintained. - Recruitment process still relies on external suppliers, providing poor first impression for candidates - No levels - if you are into chasing promotion to L5 or something - Compensation progression is not clear and depends on your manager support and politics; - Situation and culture in non-engineering departments not so great

Explore other reviews about Bloomberg

5.0
22 Jun 2026
Recommend
CEO approval
Business outlook

Pros

Good management + good people + work life balance

Cons

NA - can be stressful

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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