data engineer
Data engineers develop the architecture needed to process, manage, and store large amounts of data which will be used by data scientists for analysis. They design the infrastructure and maintain data pipelines and warehouses to leverage data for strategic advantage.
data engineer data engineers develop the architecture needed to process, manage, and store large amounts of data which will be used by data scientists for analysis. The role shows moderate AI exposure (0.55 on a 0-1 scale) — some tasks are being automated but the role adapts. The most in-demand skills for the role include digital data processing, data warehouse, computer science, data analytics, data storage.
Top skills
Frequently asked questions
What does data engineer do?
Data engineers develop the architecture needed to process, manage, and store large amounts of data which will be used by data scientists for analysis. They design the infrastructure and maintain data pipelines and warehouses to leverage data for strategic advantage.
What skills does data engineer need?
The most in-demand skills for this role include digital data processing, data warehouse, computer science, data analytics, data storage, database management systems. These are the skills O*NET identifies as most important for competent performance.
Will AI replace data engineer?
Our AI-durability model gives data engineer a score of 0.55 on a 0-1 scale (higher = more exposure). That places it at moderate AI exposure — some tasks are being automated but the role adapts. Learning to work with AI tools rather than against them is the path forward.
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