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Operations salary in Big Data startups in 2026
How much does a Operations expect to make in Big Data startups? The average expected salary for Operationss in Big Data startups is 101k per year, with a range from 49k to 190k. These amounts were gathered from Wellfound self-reported data and represent the median salary range. The salary range for Operationss in Big Data startup varies depending on factors such as location, experience, skills, and startup stage.
101.2k
Average Salary
2 years
Average years of experience
Salary
The average salary for a Operations in Big Data startups is $101,163, which is 26.3% lower than the average salary of $137,333 in Big Data startups. Operations salaries in Big Data are based on exclusive Wellfound data. All data is updated on a weekly basis. Factors that may influence salary include: location, years of experience, title, size of company, and skill-set.
Top of market
$146,288/yr
Range $75k - $190k
Average
$101,163/yr
Range $51k - $163k
Below Average
$72,485/yr
Range $49k - $121k
Top Locations
The highest average salary a Operations in Big Data can get in Austin, that is $42,000. This pay is 58.5% lower than the average Operations salary in Big Data startups, which is $101,163. Salaries will vary based on your location. The top-paying markets in the US, on average, are currently: Austin (avg $42,000 per year). Remote jobs often pay based on the location you reside in.
Austin
$42k
Industries
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Years of experience
Below Average
Average
Top of Market
The highest average salary a Operations in Big Data can get with 10+ years of experience, that is $62,000. This pay is 54.9% lower than the average salary in Big Data startups, which is $137,333. The salary range varies with years of experience and depends on other factors such as skill set, size of company, and industry.
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Tech Hubs for Operations
Industries for Operations
Blockchain / CryptocurrencyFin TechBig DataRetailManufacturingFood and BeveragesMarketplacesReal EstateDigital MarketingHealth and WellnessAdvertisingMobile ApplicationArtificial IntelligenceFinancial ServicesDigital MediaSoftwareEducationTechnologySocial MediaB2BSaaSE-CommerceHealthcareEnterprise SoftwareMobile