Automation index
How much of a Data engineer’s job can AI already do?
A pipeline and a diagram sketch. Keeping it up at 3 a.m., with PII and a four-hour job, does not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Data engineer
31%
AI can already do 31% of this job.
#36 / 653
View rankingData engineer
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Design pipelines, models and orchestration.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 50% | +12 |
Write SQL, Spark and data tests.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 45% | +8.1 |
Incidents, quality and lineage in production.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Talk to analysts and negotiate data contracts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Cloud cost, permissions and PII.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Decide architecture and technical debt.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Design pipelines, models and orchestration
- Write SQL, Spark and data tests
- Cloud cost, permissions and PII
- Decide architecture and technical debt
- ingeniero de datos
- data engineer
- etl
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511
IS WORK OVER?
Sterile processing technician
19%
#557 / 653
View rankingSterile processing technician
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Intake, the dirty and the count.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Wash, the ultrasonic and what is left.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Pack, the indicator and the set.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Autoclave, the load and the cycle that fails.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Theatre, the rush and not sending a wet set.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Truly sterile, and not mixing the dirty.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- autoclave
- surgical sets
- biological indicators
- ultrasonic wash
- sterile pack
- instrument count
- steam cycles
- not mix dirty
Sources for this job· O*NET 31-9093.00· ESCO/ISCO 3213