Dataops Salary
$25.5K - $30K
4% of jobs
$30K - $34.5K
13% of jobs
$36.8K is the 25th percentile. Wages below this are outliers.
$34.5K - $39K
17% of jobs
The median wage is $43.2K / yr.
$39K - $43.5K
18% of jobs
$43.5K - $48K
22% of jobs
$48.7K is the 75th percentile. Wages above this are outliers.
$48K - $52.5K
10% of jobs
$52.5K - $57K
5% of jobs
$57K - $61.5K
4% of jobs
$61.5K - $66K
3% of jobs
$66K - $70.5K
3% of jobs
$70.5K - $75K
2% of jobs
$25.5K
$44K
$75.5K
$48,110
/year
$23.13
/hour
Dataops Salary Comparison by Location
Nationwide
United States
$48,110
Columbus
Ohio
$46,469
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How much does a Dataops make?
As of Jun 22, 2026, the average annual pay for a Dataops in the United States is $48,110 a year.
Just in case you need a simple salary calculator, that works out to be approximately $23.13 an hour. This is the equivalent of $925/week or $4,009/month.
While ZipRecruiter is seeing annual salaries as high as $75,500 and as low as $25,500, the majority of Dataops salaries currently range between $36,500 (25th percentile) to $50,000 (75th percentile) with top earners (90th percentile) making $65,000 annually across the United States. The average pay range for a Dataops varies greatly (by as much as 13500), which suggests there may be many opportunities for advancement and increased pay based on skill level, location and years of experience.
A Dataops in your area makes on average $46,469 per year, or $1,641 (3.411%) less than the national average annual salary of $48,110. Ohio ranks number 30 out of 50 states nationwide for Dataops salaries.
To estimate the most accurate annual salary range for Dataops jobs, ZipRecruiter continuously scans its database of millions of active jobs published locally throughout America.
Find your next high paying job as a Dataops on ZipRecruiter today.
What are Top 10 Highest Paying Cities for Dataops Jobs
We've identified 10 cities where the typical salary for a Dataops job is above the national average. Topping the list is Seattle, WA, , with Pennington County, SD, and Vancouver, WA, close behind in the second and third positions. Vancouver, WA, beats the national average by $11,796 (24.5%), and Seattle, WA, furthers that trend with another $18,743 (39.0%) above the $48,110 average.
With these 10 cities having average salaries higher than the national average, the opportunities for economic advancement by changing locations as a Dataops appears to be exceedingly fruitful.
Finally, another factor to consider is the average salary for these top 10 cities varies very little at 16% between Seattle, WA, and San Francisco, CA, , reinforcing the limited potential for much wage advancement. The possibility of a lower cost of living may be the best factor to use when considering location and salary for a Dataops role.
City | Annual Salary | Hourly Wage |
|---|---|---|
Seattle, WA | $66,853 | $32.14 |
Pennington County, SD | $61,907 | $29.76 |
Vancouver, WA | $59,906 | $28.80 |
Nome, AK | $59,680 | $28.69 |
Berkeley, CA | $58,908 | $28.32 |
Parker, CO | $58,772 | $28.26 |
Sitka, AK | $57,957 | $27.86 |
San Jose, CA | $56,960 | $27.38 |
Plainfield, IL | $56,763 | $27.29 |
San Francisco, CA | $56,682 | $27.25 |
What are Top 5 Best Paying Related Dataops Jobs in the U.S.
We found a few related jobs that pay more than jobs in the Dataops category.
For example Cognos Architect jobs pay as much as $114,890 (238.8%) more than the average Dataops salary of $48,110. If you're qualified, finding work as a Cognos Architect may help you make more money than that of the average Dataops position.
Job Title | Annual Salary | Hourly Wage |
|---|---|---|
Cognos Architect | $163,000 | $78.37 |
Associate Full Stack Developer | $123,262 | $59.26 |
Palantir | $117,130 | $56.31 |
Abinitio Developer | $109,905 | $52.84 |
Power Bi Data Analyst | $82,640 | $39.73 |
About Our Data
ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.
