Geospatial Data Engineer Salary
$11K - $27K
0% of jobs
$27K - $43K
21% of jobs
$43K - $59K
0% of jobs
$67.4K is the 25th percentile. Wages below this are outliers.
$59K - $75K
7% of jobs
The median wage is $86.7K / yr.
$75K - $91K
29% of jobs
$91K - $107K
9% of jobs
$114.6K is the 75th percentile. Wages above this are outliers.
$107K - $123K
18% of jobs
$123K - $139K
0% of jobs
$139K - $155K
2% of jobs
$155K - $171K
7% of jobs
$171K - $187K
7% of jobs
$11K
$85.5K
$187.5K
$96,989
/year
$46.63
/hour
Geospatial Data Engineer Salary Comparison by Location
Nationwide
United States
$96,989
Columbus
Ohio
$93,682
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How much does a Geospatial Data Engineer make?
As of Jun 15, 2026, the average annual pay for a Geospatial Data Engineer in the United States is $96,989 a year.
Just in case you need a simple salary calculator, that works out to be approximately $46.63 an hour. This is the equivalent of $1,865/week or $8,082/month.
While ZipRecruiter is seeing annual salaries as high as $187,500 and as low as $11,000, the majority of Geospatial Data Engineer salaries currently range between $74,500 (25th percentile) to $120,000 (75th percentile) with top earners (90th percentile) making $175,000 annually across the United States. The average pay range for a Geospatial Data Engineer varies greatly (by as much as 45500), which suggests there may be many opportunities for advancement and increased pay based on skill level, location and years of experience.
A Geospatial Data Engineer in your area makes on average $93,682 per year, or $3,307 (3.410%) less than the national average annual salary of $96,989. Ohio ranks number 43 out of 50 states nationwide for Geospatial Data Engineer salaries.
To estimate the most accurate annual salary range for Geospatial Data Engineer jobs, ZipRecruiter continuously scans its database of millions of active jobs published locally throughout America.
Find your next high paying job as a Geospatial Data Engineer on ZipRecruiter today.
What are Top 10 Highest Paying Cities for Geospatial Data Engineer Jobs
We've identified 10 cities where the typical salary for a Geospatial Data Engineer job is above the national average. Topping the list is Pennington County, SD, , with Beverly, MA, and Milford, CT, close behind in the second and third positions. Milford, CT, beats the national average by $58,768 (60.6%), and Pennington County, SD, furthers that trend with another $68,081 (70.2%) above the $96,989 average.
With these 10 cities having average salaries higher than the national average, the opportunities for economic advancement by changing locations as a Geospatial Data Engineer appears to be exceedingly fruitful.
However, another factor to consider is the average salary for these top 10 cities varies modestly at 21% between Pennington County, SD, and Fort Lauderdale, FL, , suggesting it may be difficult to see much positive wage advancement. The possibility of a lower cost of living may help determine the balance between location and salary for a Geospatial Data Engineer role.
City | Annual Salary | Hourly Wage |
|---|---|---|
Pennington County, SD | $165,070 | $79.36 |
Beverly, MA | $162,023 | $77.90 |
Milford, CT | $155,757 | $74.88 |
Spearfish, SD | $148,241 | $71.27 |
Fort Leonard Wood, MO | $141,185 | $67.88 |
Terre Haute, IN | $139,712 | $67.17 |
Douglas County, NE | $137,757 | $66.23 |
Burleigh County, ND | $136,274 | $65.52 |
Bridgeport, WV | $135,419 | $65.11 |
Fort Lauderdale, FL | $133,086 | $63.98 |
What are Top 5 Best Paying Related Geospatial Data Engineer Jobs in the U.S.
Analyzing some similar jobs related to the Geospatial Data Engineer job category, we found that Control Engineer jobs have average salaries similar than Geospatial Data Engineer jobs.
Job Title | Annual Salary | Hourly Wage |
|---|---|---|
Control Engineer | $96,574 | $46.43 |
Constructor Civil | $81,397 | $39.13 |
Electrical Consultant | $73,830 | $35.50 |
Kv | $58,820 | $28.28 |
Civil Engineering Technician | $52,811 | $25.39 |
About Our Data
ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.
