How much does a Data Engineer make?

The average salary for a Data Engineer is $117,821 per year in United States. Salaries estimates are based on 16973 salaries submitted anonymously to Glassdoor by a Data Engineer employees in United States.

The highest salary for a Data Engineer in United States is $149,662 per year.

The lowest salary for a Data Engineer in United States is $93,611 per year.

If you are thinking of becoming a Data Engineer or planning the next step in your career, find details about the role, the career path and salary trajectory of a Data Engineer.

Data engineering salaries are high, reflecting the demand for their skillset and the barriers to entry. A bachelor’s in engineering, mathematics or computer science is required, although many firms strongly prefer candidates with internship experience. Once hired, data engineers typically work full time and are paid a salary with full benefits. Successful data engineers can transition into a project manager role.

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The amount that data engineers make varies but according to anonymous employee ratings on Glassdoor, around 75% are happy with their salary. A Bachelor's degree, professional certifications, and potential additional pay of $19,121.35 yearly may help qualify your data engineer salary as a good one.

Data engineers have a large salary range between $76,176.97 and $184,664.56, with an average of around $98,699.91 if you follow the typical data engineer career path. Bonuses can be common in this field, leading to a total pay of approximately $117,821.26. After showing your value in this industry, you may be able to move to a senior data engineer role.

Data engineers can have plenty of potential to increase their pay, but there are steps you need to take. It's a good idea to have a Bachelor's degree or higher in computer science or a related subject. An intensive data boot camp or online course is a good substitute, especially if you already have development experience. Spend some time learning in-demand skills and technologies, such as SQL and NoSQL, Python, Azure Data, and ETL tools. Get a professional certification in this area, such as Google's Professional Data Engineer certification. Finally, make sure you network with other data professionals and create a portfolio to show off your skills.

Whether you've just started browsing data engineer jobs or want a raise in your current job, here's how to negotiate a fair salary. Make a list of all the reasons you deserve a higher compensation. Make sure you stick to concrete skills and achievements to form your arguments. For example, certifications you've gained, professional successes you've had, and technologies you've learned. You should also bring along an updated portfolio. Next, decide what figure to ask for. If you're applying for a new job, around 10% more than the listed salary is a good idea. In your current role, choose a figure based on what comparable jobs at other companies pay.

About 75.00% of Data Engineer professionals feel satisfied with their salary, according to anonymous Glassdoor ratings. An additional $19,121 in potential pay per year, among other factors, can qualify the annual pay of a Data Engineer in United States as a good salary.

Data Engineer professionals in United States have a wide total pay range, between $76,177 and $184,665 depending on experience, with an estimated total pay of $117,821 following the average career path of a Data Engineer.