As of November 01, 2026, the average annual salary for Data Operations Engineer in the US is $119,502, equivalent to $57 per hour, $2,298 weekly, or $9,959 monthly. These figures, sourced from Salary.com’s real-time job posting scans, highlight competitive earning potential for Data Operations Engineer in cities like San Jose, Santa Clara, and San Francisco.
Annually Salaries for Data Operations Engineer in the US vary widely, spanning from $103,695 to $135,885. Most professionals fall between the 25th percentile ($111,228) and 75th percentile ($128,077), while top earners (90th percentile) make $135,885 per year. This $16,849 pay gap underscores opportunities for salary growth through certifications, specialized skills like Analysis or Data Modeling, or targeting high-paying regions like District of Columbia or California.
Location and experience significantly influence earnings. For example, District of Columbia Data Operations Engineer often earn 10.7% above national averages due to demand from Fortune 43 companies and industry startups. Professionals are advised to focus on high-growth sectors like to offset market challenges.
