Data Engineer vs MLOps

Put two roles head to head — any role, in any location or worldwide-remote.

Side A

Side B

MLOps pays about 2% more at the median.

Side-by-side distribution

Data Engineer MLOps
$160k
$163.8k
$83k box = 25th–75th · whiskers = 10th–90th $255.8k

Data Engineer

$160,000

median · per year, annualized USD

Median over time ▼ -11.1%
$180,000 $160,000
$127.4k 25th
$160k Median
$198k 75th
$101k
$243.9k
Box 25th–75th · whiskers 10th–90th Full range $5.3k – $850k · outliers off-axis
Disclosing
29.3%
Live roles
5,587

MLOps

$163,800

median · per year, annualized USD

Median over time ▼ -21.1%
$207,500 $163,800
$137k 25th
$163.8k Median
$193.5k 75th
$94.9k
$225.8k
Box 25th–75th · whiskers 10th–90th Full range $6k – $351k · outliers off-axis
Disclosing
26%
Live roles
204

Top companies hiring

Company Median Roles
Speechify $170,000 144
Booz Allen Hamilton $126,800 81
Accenture Federal Services $149,800 28
CACI $139,950 25
Olsson $120,000 21
Leidos $151,475 19
Northrop Grumman $127,350 18
Blue Origin $188,162 17

Top companies hiring

Company Median Roles
Weekday AI $202,800 2
Target $197,000 2
Workday $150,400 2
RELX $140,450 2
Booz Allen Hamilton $126,300 2
Shirley Ryan AbilityLab $88,225 2
Garner Health $324,500 1
AiDASH, Inc. $250,000 1

Data Engineer salary by location

Location Median Roles
San Francisco $211,000 192
Seattle $196,700 69
New York $192,736 213
Los Angeles $180,350 33
Boston $173,750 53
Singapore $165,000 5
Austin $161,450 51
Chicago $154,600 90
Denver $153,300 56
Atlanta $153,300 35

MLOps salary by location

Location Median Roles
San Francisco $188,225 6
New York $186,350 6
Seattle $172,500 3
Boston $162,500 3
Toronto $139,307 3
Chicago $96,600 3

Data Engineer vs MLOps: which pays more?

The median for Data Engineer is $160,000 per year (typically $127,394–$198,009), versus $163,800 for MLOps ($137,000–$193,500). That puts MLOps about 2% ahead at the median.

Both figures are computed live from active listings on JobsRadar and normalized to annualized USD, so Data Engineer and MLOps are compared on equal terms regardless of the currency each role was originally posted in. Only roles that publish a salary range feed the medians; numbers refresh every few hours as new roles post and older ones close, so this comparison reflects the market right now rather than a fixed survey. Use it as a directional benchmark when weighing one path against the other.

See full salary data

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