Data from Google Analytics.
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The average salary for remote Data Engineer jobs is $148,073 per year, ranging from $99,690 to $197,798 depending on experience. This is based on data from 649 job openings.
| Experience | Roles analysed | Avg. salary |
|---|---|---|
| Junior Data Engineer | 35 | $99,690 |
| Mid-level Data Engineer | 169 | $123,943 |
| Senior Data Engineer | 372 | $150,833 |
| Lead Data Engineer | 52 | $156,937 |
| Staff Data Engineer | 68 | $197,798 |
| Principal Data Engineer | 25 | $190,460 |
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 562 job openings.
The most sought-after experience for Data Engineer jobs is Mid-level (44% of openings), and 5% are junior friendly.
The most common employment types for Data Engineer jobs are Full-time (89%) and Contract (7%).
44% of Data Engineer jobs require a degree, while 56% do not.
Companies hire remote Data Engineer engineers in 71 regions and countries — with United States leading in open roles.