Three years ago, a company I was at hired eight junior data engineers in a single quarter. Boilerplate ETL, basic SQL transforms, test scaffolding, docs. The standard apprenticeship pipeline. Last month, that same company posted two senior DE roles and zero junior ones. The eight seats are gone. Not frozen; gone. The work those engineers did still gets done. An LLM and two staff engineers handle it now. This isn't a hot take. It's Q1 2026 by the numbers: 52,050 tech layoffs announced in the first three months of the year, a 40% jump over Q1 2025. Nearly half of those cuts were attributed to AI-driven automation. And the people getting cut aren't the ones designing pipeline architectures or negotiating data contracts with upstream teams. They're the ones writing the boilerplate that AI now generates on demand. The seniority bifurcation in data engineering is real, it's accelerating, and if you're early in your career , you need to understand the mechanics of it before you can do anything about it.…