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      Meta

      Engaged Employer

      Meta Senior Data Engineer reviews

      3.2

      33% would recommend to a friend

      (32 total reviews)
      avatar

      Mark Zuckerberg

      30% approve of CEO

      89% positive business outlook

      Ratings by demographic groups

      Senior Data Engineer employees have rated Meta with 3.2 out of 5 stars, based on 32 company reviews on Glassdoor. This indicates that most Senior Data Engineer professionals have a good working experience there. Meta is rated in line with the average (within 1 standard deviation) by Senior Data Engineer professionals compared to other employers within the Informationstechnologie industry (3.9 stars).

      Reviews by job title

      32 reviews
      1.0
      Jan 7, 2026

      High Compensation, but Extremely High Burnout

      Senior data engineer
      Recommend
      CEO approval
      Business Outlook

      Pros

      The total compensation packages (base, bonus, and RSU) remain some of the most competitive in the industry

      Cons

      The "Year of Efficiency" has morphed into a permanent culture of "Hire to Fire." Onboarding is non-existent; you are expected to deliver high-impact results from day one without a grace period. Management quality is inconsistent, often prioritizing metrics over people. For IC5+ roles, the workload is unsustainable, requiring constant overtime. The lack of job security creates a "walking on eggshells" environment where you are perpetually worried about the next round of performance-based cuts.

      3.0
      Jun 29, 2025

      Analytics Engineering

      Senior data engineer
      Recommend
      CEO approval
      Business Outlook

      Pros

      - Pays good - Perks (Especially food for on -site)

      Cons

      Don’t expect to work on cutting-edge data engineering problems. The role largely focuses on analytics and ETL tasks due to Meta’s highly developed infrastructure. Data Engineers are often seen more as support staff for analytics than core engineers. Following the layoffs, Data Engineers are required to support multiple cross-functional teams at once. With no clearly defined niche, concerns about workload and bandwidth are frequently ignored. Team placement matters. Be cautious when choosing a manager—those with limited experience may struggle with the demands of the role, leading to disorganization while maintaining a façade of effectiveness.

      Viewing 10 - 12 of 32 Reviews
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