Pros: - Pays well. - 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.

Pros: Scope, flexibility, food, smart people.

Cons: Move fast so things would break anytime.

Pros: Aside from the best comp/benefits in the industry, there's an opportunity to learn to be social, open, and interact with others. Geeks/nerds don't exist here. Everyone needs to learn to work with others and be communicative.

Cons: Only been here a couple months. The only con I can tell so far is that managing image and expectations is a real portion of work.