Engineering jobs are in high demand with workers receiving generous compensation packages and bonuses. Engineering offers ample opportunity for growth and development with transferable skills across an array of fields from software, supply chain and logistics to aerospace. Most roles require at least a bachelor’s degree. To remain competitive, job-seekers should consider specialization or skill-specific programs such as coding boot-camps or certifications.
Top paying industries
The top 5 paying industries for Principal Data Engineer in United States are Information Technology with a median total pay of $207,008, Telecommunications with a median total pay of $200,631, Insurance with a median total pay of $181,945, Financial Services with a median total pay of $180,077, and Healthcare with a median total pay of $171,972.
Frequently asked questions about Principal Data Engineer salaries
The average salary for Principal Data Engineer is $209,032 per year or $100 per hour, with top earners making up to $335,306 (90th percentile). Typically, pay ranges from $164,649 (25th percentile) to $269,245 (75th percentile) annually. Salary estimates are based on 504 salaries submitted anonymously to Glassdoor by Principal Data Engineer employees.
The highest salary for Principal Data Engineer is $269,245 per year, $22,437 per month or $129 per hour.
The lowest salary for Principal Data Engineer is $164,649 per year, $13,721 per month or $79 per hour.
The salary trajectory of Principal Data Engineer ranges between locations and employers. The salary starts at $105,017 per year (estimate) and goes up to $337,801 per year (estimate) for the highest level of seniority.
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