Database Administrator vs MLOps Engineer

Measured from each occupation's own live postings: mostly different jobs wearing similar names. Posted pay is close to a wash. Salary bands, both switching directions, and the shared skills below, every number from live postings, refreshed nightly.

Database Administrator

Posted band$72k–$122k
FieldTechnology
Postings read925

MLOps Engineer

Posted band$61k–$126k
FieldTechnology
Postings read595

Switching, both directions

The asymmetry is the finding: mlops engineerdatabase administrator reads 31% ready; the reverse only 12%. Skill overlap is not symmetric, and the direction you travel matters.

Database AdministratorMLOps Engineer

12% skill readiness

The gap, from mlops engineer postings: MLOps, Machine Learning, LLMs / Generative AI, CI/CD.

Run this direction on the instrument

MLOps EngineerDatabase Administrator

31% skill readiness

The gap, from database administrator postings: SQL, NoSQL, Linux, Data Modeling.

Run this direction on the instrument

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Quick answers

Which pays more, database administrator or mlops engineer?

Database Administrator, by about $3k a year at the midpoint. Going by postings that state pay, the posted middle band for a database administrator runs $72k–$122k, and for a mlops engineer it runs $61k–$126k. We only count postings that state a salary, so these are advertised figures rather than estimates.

Are database administrator and mlops engineer the same job?

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

Can a database administrator become a mlops engineer?

Yes, and a typical database administrator profile already covers 12% of what mlops engineer postings ask for. The route page lists the exact skills that make up the gap.

Can a mlops engineer become a database administrator?

In this direction a typical mlops engineer profile covers 31% of what database administrator postings ask for. It is worth noticing that the two directions are not symmetric: mlops engineer to database administrator is the easier move (31% against 12%).

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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