Data from Google Analytics.
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The average salary for remote Data Engineer jobs is $150,133 per year, ranging from $101,241 to $195,113 depending on experience. This is based on data from 666 job openings.
| Experience | Roles analysed | Avg. salary |
|---|---|---|
| Junior Data Engineer | 35 | $101,241 |
| Mid-level Data Engineer | 158 | $126,316 |
| Senior Data Engineer | 391 | $152,091 |
| Lead Data Engineer | 58 | $154,755 |
| Staff Data Engineer | 71 | $194,136 |
| Principal Data Engineer | 27 | $195,113 |
The top skills employers look for in Data Engineer jobs are SQL, Python, Azure, Web security 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 552 job openings.
The most sought-after experience for Data Engineer jobs is Mid-level (43% of openings), and 5% are junior friendly.
The most common employment types for Data Engineer jobs are Full-time (87%) and Contract (9%).
47% of Data Engineer jobs require a degree, while 53% do not.
Companies hire remote Data Engineer engineers in 76 regions and countries — with United States leading in open roles.