Database Administrator vs MLOps Engineer

Measured from each occupation's own live postings: mostly different jobs wearing similar names. Posted pay favors the mlops engineer by about $28k at the midpoint. Salary bands, both switching directions, and the shared skills below — every number from live postings, refreshed nightly.

Database Administrator

Posted band$70k–$113k
FieldTechnology
Postings read345

MLOps Engineer

Posted band$105k–$135k
FieldTechnology
Postings read241

Switching, both directions

The asymmetry is the finding: mlops engineerdatabase administrator reads 26% ready; the reverse only 10%. Skill overlap is not symmetric, and the direction you travel matters.

Database AdministratorMLOps Engineer

10% skill readiness

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

Run this direction on the instrument

MLOps EngineerDatabase Administrator

26% skill readiness

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

Run this direction on the instrument

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Quick answers

Which pays more, database administrator or mlops engineer?

Posted mid-bands from each occupation's own corpus: Database Administrator $70k–$113k, MLOps Engineer $105k–$135k. At the midpoint that favors the mlops engineer by about $28k a year. Only postings that state pay are counted.

Are database administrator and mlops engineer the same job?

No — despite the similar names, their postings demand mostly different skills.

Can a database administrator become a mlops engineer?

Skill readiness is 10 percent: that share of what mlops engineer postings demand, a typical database administrator profile already covers.

Can a mlops engineer become a database administrator?

Skill readiness is 26 percent in this direction. The asymmetry is the finding: mlops engineer to database administrator is the easier direction (26% vs 10%).

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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