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BIG DATA Engineer Salary

National Average
$76,000 $130,674 /year $180,500
$63 /hour
National Average
$6,333 $10,889 /month $15,042
$63 /hour
National Average
$1,462 $2,512 /week $3,471
$63 /hour
National Average
$36.54 $63 /hour $86.78
Annual Salary Monthly Pay Weekly Pay Hourly Wage
Top Earners $168,500 $14,041 $3,240 $81
75th Percentile $148,500 $12,375 $2,855 $71
Average $130,674 $10,889 $2,512 $63
25th Percentile $111,500 $9,291 $2,144 $54
BIG DATA Engineer Salary Comparison by Location
United States
Ashburn, VA

How much does a BIG DATA Engineer make?

As of May 16, 2022, the average annual pay for a BIG DATA Engineer in the United States is $130,674 a year.

Just in case you need a simple salary calculator, that works out to be approximately $62.82 an hour. This is the equivalent of $2,513/week or $10,890/month.

While ZipRecruiter is seeing annual salaries as high as $180,500 and as low as $76,000, the majority of BIG DATA Engineer salaries currently range between $111,500 (25th percentile) to $148,500 (75th percentile) with top earners (90th percentile) making $168,500 annually across the United States. The average pay range for a BIG DATA Engineer varies greatly (by as much as $37,000), which suggests there may be many opportunities for advancement and increased pay based on skill level, location and years of experience.

Based on recent job postings on ZipRecruiter, the BIG DATA Engineer job market in both Ashburn, VA and the surrounding area is very active. A BIG DATA Engineer in your area makes on average $132,127 per year, or $1,453 (1%) more than the national average annual salary of $130,674. Virginia ranks number 4 out of 50 states nationwide for BIG DATA Engineer salaries.

To estimate the most accurate annual salary range for BIG DATA Engineer jobs, ZipRecruiter continuously scans its database of millions of active jobs published locally throughout America.

Find your next high paying job as a BIG DATA Engineer on ZipRecruiter today.

What are Top 10 Highest Paying Cities for BIG DATA Engineer Jobs

We’ve identified 10 cities where the typical salary for a BIG DATA Engineer job is above the national average. Topping the list is Richmond, CA, with Stamford, CT and Bellevue, WA close behind in the second and third positions. Bellevue, WA beats the national average by $24,667 (18.9%), and Richmond, CA furthers that trend with another $29,216 (22.4%) above the $130,674 average.

With these 10 cities having average salaries higher than the national average, the opportunities for economic advancement by changing locations as a BIG DATA Engineer appears to be exceedingly fruitful.

Finally, another factor to consider is the average salary for these top ten cities varies very little at 8% between Richmond, CA and Pasadena, CA, reinforcing the limited potential for much wage advancement. The possibility of a lower cost of living may be the best factor to use when considering location and salary for a BIG DATA Engineer role.

CityAnnual SalaryMonthly PayWeekly PayHourly Wage
Richmond, CA$159,891$13,324$3,075$76.87
Stamford, CT$155,693$12,974$2,994$74.85
Bellevue, WA$155,342$12,945$2,987$74.68
Lakes, AK$149,893$12,491$2,883$72.06
San Francisco, CA$149,857$12,488$2,882$72.05
Pleasanton, CA$149,022$12,419$2,866$71.65
Palmdale, CA$148,244$12,354$2,851$71.27
Santa Clara, CA$147,682$12,307$2,840$71.00
Hartford, CT$147,391$12,283$2,834$70.86
Pasadena, CA$146,852$12,238$2,824$70.60
About Our Data
ZipRecruiter salary estimates, histograms, trends and comparisons are derived from both employer job postings and third party data sources.
Data used to develop this report includes ADP data. ADP is an exclusive provider of employee payroll data for ZipRecruiter.