Data from Google Analytics.
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Jobs that require prior experience now display a badge indicating the number of years needed. This makes it easier to quickly assess whether a role matches your experience level and decide if it’s worth applying.
Browse remote Data Engineer jobs at companies such as Bluelight Consulting, Lifted, an Upwork Company™, and Precision AQ.
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The average salary for remote Data Engineer jobs is $150,220 per year, ranging from $101,263 to $195,218 depending on experience. This is based on data from 668 job openings.
| Experience | Roles analysed | Avg. salary |
|---|---|---|
| Junior Data Engineer | 35 | $101,263 |
| Mid-level Data Engineer | 158 | $127,070 |
| Senior Data Engineer | 393 | $151,957 |
| Lead Data Engineer | 59 | $155,314 |
| Staff Data Engineer | 70 | $194,077 |
| Principal Data Engineer | 27 | $195,218 |
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.