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      Meta

      Engaged Employer

      Meta Data Engineer Manager reviews

      3.2

      36% would recommend to a friend

      (478 total reviews)
      avatar

      Mark Zuckerberg

      22% approve of CEO

      33% positive business outlook

      Ratings by category

      4.5

      Compensation and benefits

      3.6

      Career opportunities

      3.4

      Diversity & inclusion

      2.5

      Culture & values

      2.5

      Senior management

      2.4

      Work/Life balance

      Data Engineer Manager employees have rated Meta with 3.2 out of 5 stars, based on 478 company reviews on Glassdoor. This indicates that most Data Engineer Manager professionals have a good working experience there. Meta is rated in line with the average (within 1 standard deviation) by Data Engineer Manager professionals compared to other employers within the Information Technology industry (3.7 stars).

      Ratings by demographic groups

      Reviews by job title

      478 reviews
      5.0
      Feb 8, 2026

      N

      Data scientist
      Recommend
      CEO approval
      Business Outlook

      Pros

      very rigourous and extremely good projects

      Cons

      no problem with the unnovation

      2.0
      Jan 27, 2026

      My experience at Meta

      Data engineering manager
      Recommend
      CEO approval
      Business Outlook

      Pros

      The data platform is exceptionally robust, significantly enhancing developer velocity by abstracting away infrastructure complexities. The platform team has delivered a comprehensive ecosystem where the core pillars of data engineering—compute, storage, quality, and discovery—are seamlessly integrated. Their intentional design has drastically reduced operational overhead, allowing the engineering team to focus entirely on delivering high-impact data products.

      Cons

      The primary challenge was the disconnect between strategic mandates—like the top-down AI push—and the operational capacity of the data teams. In nascent product areas, the '0 to 1' build phase was frequently disrupted by changing requirements, leading to high team burnout. I believe that for AI innovation to succeed, there needs to be a distinction in how we resource matured data products versus new initiatives. Without a stabilized foundation, teams in the '0 to 1' phase are forced into a dual-track execution that risks both delivery quality and infrastructure health.

      4.0
      Jan 20, 2026

      Not bad not good

      Data scientist
      Recommend
      CEO approval
      Business Outlook

      Pros

      good pay, hardworking colleagues, supportive manager, good welfare

      Cons

      a lot of swimlane overlaps, a lot of goal tracking that takes away actual time for analysis

      Viewing 61 - 63 of 478 Reviews
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      Glassdoor has 24,481 Meta reviews submitted anonymously by Meta employees. Read employee reviews and ratings on Glassdoor to decide if Meta is right for you.