Data from Google Analytics.
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The average salary for remote Data Engineer jobs is $147,979 per year, ranging from $101,343 to $194,858 depending on experience. This is based on data from 668 job openings.
| Experience | Roles analysed | Avg. salary |
|---|---|---|
| Junior Data Engineer | 33 | $101,343 |
| Mid-level Data Engineer | 181 | $124,341 |
| Senior Data Engineer | 367 | $150,227 |
| Lead Data Engineer | 53 | $156,706 |
| Staff Data Engineer | 75 | $194,858 |
| Principal Data Engineer | 24 | $192,409 |
The top skills employers look for in Data Engineer jobs are SQL, Python, Web security, Azure and Machine Learning. Below you'll find the full breakdown of the 10 most in-demand Data Engineer skills. This is based on data from 553 job openings.
The most sought-after experience for Data Engineer jobs is Mid-level (42% of openings), and 4% are junior friendly.
The most common employment types for Data Engineer jobs are Full-time (90%) and Contract (7%).
46% of Data Engineer jobs require a degree, while 54% do not.
Companies hire remote Data Engineer engineers in 81 regions and countries — with United States leading in open roles.