The Most Underrated Engineering Role in 2026

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Data Engineers are the way to go in 2026. Everyone's chasing AI and ML engineering roles in 2026. But there's one engineering role with half the competition, serious compensation, and genuine future-proofing that nobody's hyping up: data engineering.

In this video, I break down why companies like Netflix and Spotify literally cannot function without data engineers, and why 80% of AI projects fail due to data infrastructure issues.

What You'll Learn:
Why data engineering has only 2.5 candidates per job opening
How Netflix's 2008 database failure led to a $1B/year recommendation system
The real reason Spotify paid $100M for a database (not an algorithm)
Why data engineers are future-proof as AI scales
How data engineering is actually the best entry point into AI engineering

Timestamps:
0:00 The Data Engineer Role In 2026
0:37 Why Netflix NEEDS Data Engineers
2:03 Why Spotify NEEDS Data Engineers
3:31 The Unique Advantage of Data Engineers
4:39 The Career Transition to AI Engineer
5:14 How to become a Data Engineer

Topics covered: data engineer career 2026, data engineering vs ML engineering, data engineer salary, why become a data engineer, data infrastructure, Netflix data engineering, Spotify data pipeline, best engineering role 2026, data engineer job market

Connect with me:
  / zen-van-riel  
https://www.skool.com/ai-engineer

Video sources include
https://www.businessinsider.in/tech/w...
https://about.netflix.com/en/news/com...
https://zhenzhongxu.com/the-four-inno...
https://techcrunch.com/2014/03/07/spo...
https://newsroom.spotify.com/2025-06-...

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