Data Analytics Engineer
$113,309 (USD)/yr
$54.48 (USD)/hr
$3,241 (USD)/yr
The average data analytics engineer gross salary in Sparks, Nevada is $113,309 or an equivalent hourly rate of $54. This is 0% lower (+$85) than the average data analytics engineer salary in the United States. In addition, they earn an average bonus of $3,241. Salary estimates based on salary survey data collected directly from employers and anonymous employees in Sparks, Nevada. An entry level data analytics engineer (1-3 years of experience) earns an average salary of $80,344. On the other end, a senior level data analytics engineer (8+ years of experience) earns an average salary of $128,543.
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$128,827 (USD)
14 %
Based on our compensation data, the estimated salary potential for Data Analytics Engineer will increase 14 % over 5 years.
This chart displays the highest level of education for:
Data Analytics Engineer, the majority at 100% with bachelors.
Typical Field of Study: Data Modeling/Warehousing and Database Administration
See how education can impact your salary- SQL Certification
- Pega Certified Data Scientist (PCDS)
The cost of living in Sparks, Nevada is 2% more than the average cost of living in the United States. Cost of living is calculated based on accumulating the cost of food, transportation, health services, rent, utilities, taxes, and miscellaneous.
View Cost of Living PageSparks is a city in Washoe County, Nevada, United States. It was founded in 1904, incorporated on March 15, 1905, and is located just east of Reno. As of the 2020 census, Sparks had a population of 108,445. It is the fifth most populous city in Nevada. It is named after John Sparks, Nevada governor (1903–1908), and a member of the Silver Party. Sparks is located within the Reno–Sparks metropolitan area.
Sourced from WikipediaERI's compensation data are based on salary surveys conducted and researched by ERI. Cost of labor data in the Assessor Series are based on actual housing sales data from commercially available sources, plus rental rates, gasoline prices, consumables, medical care premium costs, property taxes, effective income tax rates, etc.
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