Data Engineer vs DevOps Engineer

Measured from each occupation's own live postings: mostly different jobs wearing similar names. Posted pay favors the devops engineer by about $6k at the midpoint. Everything on this page is read from the two occupations’ own live postings and refreshed every night.

The short answer

$61k–$135kData Engineer
+$6kDevOps Engineer, at the midpoint
$68k–$141kDevOps Engineer

On pay, devops engineers come out ahead by about $6k a year at the midpoint of posted bands: $68k–$141k against $61k–$135k for data engineers. These are advertised figures from postings that state a salary, not estimates.

On skills, they are mostly different jobs that happen to share a name or a hallway. The overlap is thin, which is often exactly why people search this pair. The readiness numbers further down say how far a typical profile on each side already reaches into the other, and which direction is the easier move.

Data Engineer

Posted pay, middle half$61k–$135k
FieldTechnology
Postings read3,573
Open right now600 (223 remote)
DemandHigh

DevOps Engineer

Posted pay, middle half$68k–$141k
FieldTechnology
Postings read5,100
Open right now600 (207 remote)

The overlap, measured

Skills that appear in both occupations’ posting demand. This is the shared core; everything else on each side is the difference. Each linked skill has its own page with the roles it unlocks.

Switching, both directions

Data EngineerDevOps Engineer

36% skill readiness

What devops engineer postings ask for that data engineer profiles usually lack: Site Reliability Engineering, Terraform, Kubernetes, Linux.

Run this direction on the instrument

DevOps EngineerData Engineer

33% skill readiness

Transition estimate: 12–24 mo.

What data engineer postings ask for that devops engineer profiles usually lack: ETL, Data Analysis, Data Engineering, Spark.

Run this direction on the instrument

Open data engineer roles right now

The freshest data engineer openings on the board, from company career pages and remote boards. Apply at the source.

See all 600 data engineer jobs

Open devops engineer roles right now

The freshest devops engineer openings on the board. Same rules: live, tagged to the occupation, linking to the original posting.

See all 600 devops engineer jobs

See the whole board for both

1,200 live roles across the two, freshest first, with posted pay and remote flags where the posting states them.

Related comparisons

Which one do your skills favor?

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Quick answers

Which pays more, data engineer or devops engineer?

On pay, devops engineers come out ahead by about $6k a year at the midpoint of posted bands: $68k–$141k against $61k–$135k for data engineers. These are advertised figures from postings that state a salary, not estimates. By seniority and country: data engineer salary and devops engineer salary.

Are data engineer and devops engineer the same job?

On skills, they are mostly different jobs that happen to share a name or a hallway. The overlap is thin, which is often exactly why people search this pair. The skills both sets of postings want most are SQL, Python, AWS, Azure, CI/CD.

Can a data engineer become a devops engineer?

Yes, and the numbers say how far along you already are: a typical data engineer profile covers 36% of what devops engineer postings ask for. The instrument lists the exact skills that make up the rest.

Can a devops engineer become a data engineer?

Going the other way, a typical devops engineer profile covers 33% of what data engineer postings ask for. Our estimate for the move is 12–24 mo.

How many data engineer and devops engineer jobs are open right now?

Right now our board has 600 data engineer openings and 600 devops engineer openings, each linking to the original posting. The board refreshes every night, so the counts move with the market. Hiring the most data engineers at the moment: Bluelight (15), AgileEngine (13), Name (8). For devops engineers: Bright Vision Technologies (8), BoschGroup (7), Name (7).

Method: each occupation’s salary band is the posted 25th to 75th percentile from its own corpus, counting only postings that state pay; 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. Job lists and counts are the live board. Refreshed with the nightly scrape.

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