Data Integration Salary
$21.5K - $35.5K
9% of jobs
$35.5K - $49.5K
0% of jobs
$49.5K - $63.5K
0% of jobs
$63.5K - $77.5K
3% of jobs
$89.6K is the 25th percentile. Wages below this are outliers.
$77.5K - $91.5K
15% of jobs
$91.5K - $105.5K
22% of jobs
The median wage is $106K / yr.
$105.5K - $119.5K
27% of jobs
$119.5K - $133.5K
12% of jobs
$133.5K - $147.5K
4% of jobs
$147.5K - $161.5K
2% of jobs
$161.5K - $175.5K
6% of jobs
$21.5K
$106.5K
$175K
$107,501
/year
$51.68
/hour
Data Integration Salary Comparison by Location
Nationwide
United States
$107,501
Columbus
Ohio
$103,835
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How much does a Data Integration make?
As of Jul 17, 2026, the average annual pay for a Data Integration in the United States is $107,501 a year.
Just in case you need a simple salary calculator, that works out to be approximately $51.68 an hour. This is the equivalent of $2,067/week or $8,958/month.
While ZipRecruiter is seeing annual salaries as high as $175,000 and as low as $21,500, the majority of Data Integration salaries currently range between $90,500 (25th percentile) to $121,000 (75th percentile) with top earners (90th percentile) making $164,500 annually across the United States. The average pay range for a Data Integration varies greatly (by as much as 30500), which suggests there may be many opportunities for advancement and increased pay based on skill level, location and years of experience.
A Data Integration in your area makes on average $103,835 per year, or $3,666 (3.410%) less than the national average annual salary of $107,501. Ohio ranks number 39 out of 50 states nationwide for Data Integration salaries.
To estimate the most accurate annual salary range for Data Integration jobs, ZipRecruiter continuously scans its database of millions of active jobs published locally throughout America.
Find your next high paying job as a Data Integration on ZipRecruiter today.
What are Top 10 Highest Paying Cities for Data Integration Jobs
We've identified 10 cities where the typical salary for a Data Integration job is above the national average. Topping the list is Alameda, CA, , with Pleasanton, CA, and Cupertino, CA, close behind in the second and third positions. Cupertino, CA, beats the national average by $25,128 (23.4%), and Alameda, CA, furthers that trend with another $33,608 (31.3%) above the $107,501 average.
With these 10 cities having average salaries higher than the national average, the opportunities for economic advancement by changing locations as a Data Integration appears to be exceedingly fruitful.
Finally, another factor to consider is the average salary for these top 10 cities varies very little at 9% between Alameda, CA, and Sunnyvale, 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 Data Integration role.
City | Annual Salary | Hourly Wage |
|---|---|---|
Alameda, CA | $141,109 | $67.84 |
Pleasanton, CA | $134,291 | $64.56 |
Cupertino, CA | $132,629 | $63.76 |
Berkeley, CA | $131,628 | $63.28 |
Redwood City, CA | $131,619 | $63.28 |
Sitka, AK | $129,504 | $62.26 |
San Bruno, CA | $128,430 | $61.75 |
Kent, WA | $128,306 | $61.69 |
Wyoming, WY | $128,209 | $61.64 |
Sunnyvale, CA | $127,895 | $61.49 |
What are Top 5 Best Paying Related Data Integration Jobs in the U.S.
Analyzing some similar jobs related to the Data Integration job category, we found that Data Warehouse jobs have average salaries greater than Data Integration jobs.
Significantly, Data Warehouse jobs pay $18,351 (17.1%) more than the average Data Integration salary of $107,501. If you're qualified, finding work as a Data Warehouse may help you make more money than that of the average Data Integration position.
Job Title | Annual Salary | Hourly Wage |
|---|---|---|
Data Warehouse | $125,852 | $60.51 |
Ssrs Report Developer | $104,000 | $50.00 |
Work From Home Data Analyst Etl Developer | $103,524 | $49.77 |
Pure Insurance | $58,198 | $27.98 |
Microsoft Fabric | $51,499 | $24.76 |
About Our Data
ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.
