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 Big Data Engineer in United States are Retail & Wholesale with a median total pay of $193,220, Insurance with a median total pay of $164,302, Telecommunications with a median total pay of $156,634, Human Resources & Staffing with a median total pay of $152,765, and Financial Services with a median total pay of $152,550.
Retail & Wholesale
Top paying companies in Retail & Wholesale for Big Data Engineer are Wayfair and Walmart.
Frequently asked questions about Big Data Engineer salaries
The average salary for Big Data Engineer is $145,382 per year or $70 per hour, with top earners making up to $228,646 (90th percentile). Typically, pay ranges from $115,505 (25th percentile) to $185,130 (75th percentile) annually. Salary estimates are based on 1675 salaries submitted anonymously to Glassdoor by Big Data Engineer employees.
The highest salary for Big Data Engineer is $185,130 per year, $15,428 per month or $89 per hour.
The lowest salary for Big Data Engineer is $115,505 per year, $9,625 per month or $56 per hour.
The salary trajectory of Big Data Engineer ranges between locations and employers. The salary starts at $129,416 per year (estimate) and goes up to $273,391 per year (estimate) for the highest level of seniority.
Synchrony
Cloudflare
Yotabites Consulting
Amazon
Grid Dynamics