Data from Google Analytics.
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Browse remote Data Engineer jobs at companies such as Verantos, Bluelight Consulting, and tires-easy.com.
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The average salary for remote Data Engineer jobs is $148,040 per year, ranging from $101,355 to $194,867 depending on experience. This is based on data from 667 job openings.
| Experience | Roles analysed | Avg. salary |
|---|---|---|
| Junior Data Engineer | 33 | $101,355 |
| Mid-level Data Engineer | 181 | $124,354 |
| Senior Data Engineer | 366 | $150,330 |
| Lead Data Engineer | 53 | $156,756 |
| Staff Data Engineer | 75 | $194,867 |
| Principal Data Engineer | 24 | $192,429 |
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 (43% 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.