Data Engineer — AI labor economics
Designs and maintains data pipelines, warehouses, and infrastructure. Owns reliability, schema design, and orchestration for the data platform that analytics and ML teams depend on.
What follows is the matrix-derived read for this role at a representative cell. Your numbers will differ — compute your own Wagecard for the precise read on your geo, experience, salary, and task mix.
- Operational AI cost
- Market rate (p50)
- Four task classes
- Confidence band
- Open methodology
Operational AI cost
Tokens · oversight · retries · integration · orchestration.
Market rate (Tier 2 mid)
p25 $115,702 · p75 $164,492 · p90 $195,160
Economic substitution exposure
Lower = more human-leveraged. Mixed / Low confidence.
Run the numbers on your own Data Engineer role.
This read is a representative cell. Pick your own geo, experience, salary, and task mix to see the operational AI cost, market rate, and four-class distribution for your actual week — every number with its method and a confidence band.