Will AI replace data engineers?

AI will speed up coding and pipeline construction, but humans are needed to design the complex architecture and ensure data reliability. The role will shift from writing boilerplate code to high-level system design.

Data Engineer scores 30/100 — This career is well shielded from AI replacement. Roughly 50% of the tasks in this role could be automated with current and near-future AI.

The US median salary for a data engineer is about $138,000 per year, with projected employment growth of +25% over the next decade (much faster than average).

Writing routine SQL queries and basic ETL (Extract, Transform, Load) scripts. Generating documentation for database schemas and API endpoints. Unit testing code for common logic errors and performance bottlenecks. Setting up standard infrastructure monitoring and alerting tools.

Data Engineer has a low AI risk score (30/100) and a +25% 10-year outlook. Compare it with your current job or use the salary calculator to see how a switch would affect your pay.

AI can speed up routine data engineer tasks like Writing routine SQL queries and basic ETL (Extract, Transform, Load) scripts. and Generating documentation for database schemas and API endpoints.. The most resilient workers learn to direct these tools while focusing on the human judgment, creativity and physical work that AI can't easily replicate.