As of November 01, 2026, the average annual salary for Data Operations Engineer in Columbus, OH is $116,422, equivalent to $56 per hour, $2,239 weekly, or $9,702 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 Columbus, OH vary widely, spanning from $101,023 to $132,383. Most professionals fall between the 25th percentile ($108,361) and 75th percentile ($124,777), while top earners (90th percentile) make $132,383 per year. This $16,416 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, Columbus Data Operations Engineer often earn 0.1% lower than national averages. However, Columbus currently ranks 445 statewide for Data Operations Engineer job salary. Professionals are advised to focus on high-growth sectors like to offset market challenges.
