Data Engineer vs Data Scientist

Measured from each occupation's own live postings: mostly different jobs wearing similar names. Posted pay favors the data scientist by about $20k at the midpoint. Salary bands, both switching directions, and the shared skills below, every number from live postings, refreshed nightly.

Data Engineer

Posted band$61k–$135k
FieldTechnology
Postings read3,573

Data Scientist

Posted band$76k–$160k
FieldTechnology
Postings read3,150

Switching, both directions

Data EngineerData Scientist

Not scored: the pair shares too few skills in this direction to measure honestly. Run the instrument with your own skill set for a personal read.

Data ScientistData Engineer

35% skill readiness

The gap, from data engineer postings: Azure, dbt, Airflow, Data Modeling.

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Quick answers

Which pays more, data engineer or data scientist?

Data Scientist, by about $20k a year at the midpoint. Going by postings that state pay, the posted middle band for a data engineer runs $61k–$135k, and for a data scientist it runs $76k–$160k. We only count postings that state a salary, so these are advertised figures rather than estimates.

Are data engineer and data scientist the same job?

No. Despite the similar names, their postings ask for mostly different skills.

Can a data scientist become a data engineer?

In this direction a typical data scientist profile covers 35% of what data engineer postings ask for.

Method: each occupation’s salary band is the posted 25th–75th percentile from its own corpus; readiness is coverage of the destination’s posting-skill weight; shared skills are read from the overlap waterfall. Pairs sharing too few skills are not scored in that direction. Refreshed with the nightly scrape.

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