Machine Learning Data Engineer Salary in California
$43.9K - $55.8K
0% of jobs
$55.8K - $67.6K
1% of jobs
$67.6K - $79.4K
3% of jobs
$79.4K - $91.3K
5% of jobs
$91.3K - $103.1K
7% of jobs
$112.2K is the 25th percentile. Wages below this are outliers.
$103.1K - $115K
11% of jobs
$115K - $126.8K
11% of jobs
The median wage is $129.9K / yr.
$126.8K - $138.7K
44% of jobs
$138.7K - $150.5K
9% of jobs
$150.5K - $162.3K
6% of jobs
$162.3K - $174.2K
4% of jobs
$43.9K
$132.2K
$175.2K
$128,018
/year
$61.55
/hour
Machine Learning Data Engineer Salary Comparison by Location
Nationwide
United States
$129,716
California
California
$128,018
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How much does a Machine Learning Data Engineer make in California?
As of Jul 27, 2026, the average annual pay for a Machine Learning Data Engineer in California is $128,018 a year.
Just in case you need a simple salary calculator, that works out to be approximately $61.55 an hour. This is the equivalent of $2,461/week or $10,668/month.
While ZipRecruiter is seeing salaries as high as $175,176 and as low as $43,917, the majority of Machine Learning Data Engineer salaries currently range between $113,000 (25th percentile) to $135,700 (75th percentile) with top earners (90th percentile) making $159,878 annually in California. The average pay range for a Machine Learning Data Engineer varies little (about 22700), which suggests that regardless of location, there are not many opportunities for increased pay or advancement, even with several years of experience.
California ranks number 50 out of 50 states nationwide for Machine Learning Data Engineer salaries.
To estimate the most accurate annual salary range for Machine Learning 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 Machine Learning Data Engineer on ZipRecruiter today.
What are Top 10 Highest Paying Cities for Machine Learning Data Engineer Jobs in California
We've identified 10 cities where the typical salary for a Machine Learning Data Engineer job is above the average in California in California. Topping the list is Cupertino, , with Berkeley, and Sunnyvale, close behind in the second and third positions. Sunnyvale, beats the average in California by $26,307 (20.5%), and Cupertino, furthers that trend with another $32,019 (25.0%) above the $128,018 average.
With these 10 cities paying on average above the average for California, the opportunities for economic advancement by changing locations as a Machine Learning Data Engineer appears to be exceedingly fruitful.
Finally, another factor to consider is the average salary for these top 10 cities varies very little at 5% between Cupertino, and Santa Clara, , 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 Machine Learning Data Engineer role.
City | Annual Salary | Hourly Wage |
|---|---|---|
Cupertino | $160,037 | $76.94 |
Berkeley | $158,830 | $76.36 |
Sunnyvale | $154,325 | $74.19 |
Mountain View | $152,946 | $73.53 |
Menlo Park | $152,865 | $73.49 |
San Francisco | $152,828 | $73.47 |
Palo Alto | $152,484 | $73.31 |
Livermore | $152,156 | $73.15 |
San Jose | $152,026 | $73.09 |
Santa Clara | $151,161 | $72.67 |
What are Top 5 Best Paying Related Machine Learning Data Engineer Jobs in California
Analyzing similar jobs related to the Machine Learning Data Engineer job category in California, we found 5 that were relevant. However, none pay more than the $128018 state average for Machine Learning Data Engineer jobs.
Nevertheless Platform Software Engineer, React Native, or Data Analyst Paypal may still be interesting positions to explore.
Job Title | Annual Salary | Hourly Wage |
|---|---|---|
Platform Software Engineer | $127,321 | $61.21 |
React Native | $112,932 | $54.29 |
Data Analyst Paypal | $81,558 | $39.21 |
Payment Analyst | $72,302 | $34.76 |
Hr Benefits Analyst | $71,391 | $34.32 |
About Our Data
ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.
