TLDR Tech / Data
How to Become a Data AND AI Engineer
AI is increasingly embedded in data engineering, but AI engineering still depends on strong data engineering foundations. Data modeling drives about 80% of the impact, and clear dbt descriptions, data contracts, lineage, and orchestration are effectively “context engineering” for AI. Engineers must review outputs critically because AI can surface answers without the instinct to know when not to act.
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