DataOps Engineer Salary in the United States Comparison by Location
Nationwide
United States
$134,410
Washington
District of Columbia
$148,819
How much does a DataOps Engineer earn in the United States?
As of April 01, 2025, a DataOps Engineer in the United States earns
an average salary of $134,410 per year.
A DataOps Engineer's salary can be paid hourly,
weekly or monthly depending on the company and job type.
Most part-time jobs will be paid hourly or weekly.
Using the salary calculator, the average pay comes out to be about
$65 an hour,
$2,585/week,
or $11,201/month.
The average salary of a DataOps Engineer ranges
from $121,405 to $148,688.
The average salary range for a DataOps Engineer varies widely,
which indicates that there are many opportunities for advancement, promotions, and salary increases.
These opportunities depend on many factors, including skills, education, certifications, location, and years of experience.
According to job salary data displays, DataOps Engineer in District of Columbia and California are high in demand.
DataOps Engineer in District of Columbia earn an average salary of $148,819 per year,
which is $14,409(10.72%)
more than the national average of $134,410.
District of Columbia is ranked as the top salary of a DataOps Engineer nationwide.
What is the Average DataOps Engineer Salary by City?
Below is a list of the average salaries for a DataOps Engineer in 10 cities in the United States.
We've identified 349 cities
where the typical salary for a DataOps Engineer job is above the national average.
The highest paying city for a DataOps Engineer is in San Jose, CA,
and the average salary for a DataOps Engineer job is $169,532,
which is higher than the national average.
This is followed by Santa Clara, CA
and Fremont, CA in second and third places,
which beat the national average by $35,121(26.13%)
and $34,799(25.89%) respectively. In fourth place is Daly City, CA,
which pays $33,455(24.89%),
above the national average. San Francisco, CA, Oakland, CA and Berkeley, CA continue the rankings.
Based on the summary of average salaries paid by cities,
the DataOps Engineer job market in San Jose, CA is relatively active
with a higher-paying salary compared to other cities in the United States.
Finally, DataOps Engineer jobs pay differently based on the city, even if they are in the same state.
The cost of living might be a key factor when considering the location and salary of a DataOps Engineer position.
CITY
Annual Salary
Monthly Pay
Weekly Pay
Hourly Wage
San Jose
$169,532
$14,128
$3,260
$82
Santa Clara
$169,532
$14,128
$3,260
$82
Fremont
$169,209
$14,101
$3,254
$81
Daly City
$167,865
$13,989
$3,228
$81
San Francisco
$167,865
$13,989
$3,228
$81
Oakland
$164,142
$13,678
$3,157
$79
Berkeley
$164,142
$13,678
$3,157
$79
Hayward
$163,873
$13,656
$3,151
$79
Union City
$155,768
$12,981
$2,996
$75
West New York
$155,768
$12,981
$2,996
$75
What Similar Jobs are Paid to DataOps Engineer in the U.S.?
There are 10 jobs that we find are related to the DataOps Engineer job category,these similar jobs include Locomotive Engineer,Ship Engineer,Airport Engineer,Localization Engineer,Transmitter Engineer,Ceramics Engineer,Engineer VI,Engineer I,Engineer II,and Engineer IV.
All of these 10 jobs are paid
between $47,543 to $209,446,
and the Engineer VI gets the highest paid with $209,446 from them.
Those similar job salaries are paid differently by many factors such as company size, department base, responsibility, and others.
If you're qualified to be hired for one of these similar jobs to the DataOps Engineer,
you could refer to the below list of job salaries based on market prices in the United States.