7 /10
High AI exposure Rank #180 of 493

Computer & Information Technology

Data Engineer

AI Displacement Score: 7/10 - High AI exposure

Workers

190,500

Median Pay

$108,020

Job Outlook

+35%

Key Finding

Data Engineer face high ai exposure AI displacement risk, scoring 7/10 on the JobHunter AI Displacement Index (global average: 5.7/10). There are approximately 190,500 workers in this role in the US, earning a median of $108,020.

Source: JobHunter AI Displacement Index - 342 occupations analyzed using Karpathy's research framework

What does 7/10 mean?

0 - AI-proof Global avg: 5.7 10 - Fully exposed

Data Engineer scored 7/10 across 342 occupations analyzed using Karpathy's AI displacement research framework. The global average is 5.7/10. This role is near the global average.

Similar Roles

Computer & Information Technology - All Scores

Frequently Asked Questions

Will AI replace data engineer?
Data Engineer scored 7/10 on AI displacement risk (global average: 5.7). This means high ai exposure risk of significant AI disruption. Rather than full replacement, most roles at this level see task automation - certain parts of the job get absorbed by AI while new responsibilities emerge.
What is the AI displacement score for data engineer?
The AI displacement score for Data Engineer is 7 out of 10, based on analysis of 342 occupations using Karpathy's research framework. The global average is 5.7/10. Similar roles score: Software Engineer (7/10), Senior Software Engineer (7/10), Staff Software Engineer (7/10).
How many data engineer are there in the US?
There are approximately 190,500 data engineer in the United States, with a median pay of $108,020 and a projected job outlook of +35%.
What should data engineer do about AI?
With a score of 7/10, data engineer should focus on skills AI can't easily replicate: complex judgment, relationship building, creative problem-solving, and physical-world interaction. Learning to use AI tools as leverage (not competition) is the highest-ROI move.

What AI can already do in this role

  • Handle routine scheduling, documentation, and follow-ups
  • Analyze data patterns faster than manual review
  • Generate first drafts of reports and communications

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