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 Pavago, Bluelight Consulting, and Lifted, an Upwork Company™.
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The average salary for remote Data Engineer jobs is $148,528 per year, ranging from $96,560 to $195,497 depending on experience. This is based on data from 684 job openings.
| Experience | Roles analysed | Avg. salary |
|---|---|---|
| Junior Data Engineer | 29 | $96,560 |
| Mid-level Data Engineer | 186 | $124,470 |
| Senior Data Engineer | 376 | $150,305 |
| Lead Data Engineer | 48 | $170,334 |
| Staff Data Engineer | 79 | $195,497 |
| Principal Data Engineer | 27 | $186,332 |
The top skills employers look for in Data Engineer jobs are SQL, Python, Machine Learning, Web security and Azure. Below you'll find the full breakdown of the 10 most in-demand Data Engineer skills. This is based on data from 517 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 (91%) and Contract (6%).
47% of Data Engineer jobs require a degree, while 53% do not.
Companies hire remote Data Engineer engineers in 73 regions and countries — with United States leading in open roles.