As of May 01, 2026, the average annual salary for Data Operations Engineer in Ohio is $116,367, equivalent to $56 per hour, $2,238 weekly, or $9,697 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 Ohio vary widely, spanning from $101,039 to $132,309. Most professionals fall between the 25th percentile ($108,343) and 75th percentile ($124,711), while top earners (90th percentile) make $132,309 per year. This $16,368 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, Ohio Data Operations Engineer often earn 2.6% lower than national averages due to demand from Fortune 43 companies. However, Ohio currently ranks 28 nationwide for Data Operations Engineer job salary. Professionals are advised to focus on high-growth sectors like to offset market challenges.
