As of May 01, 2026, the average annual salary for Data Operations Engineer in California is $131,820, equivalent to $63 per hour, $2,535 weekly, or $10,985 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 California vary widely, spanning from $114,456 to $149,878. Most professionals fall between the 25th percentile ($122,731) and 75th percentile ($141,272), while top earners (90th percentile) make $149,878 per year. This $18,541 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, California Data Operations Engineer often earn 10.3% higher than national averages due to demand from Fortune 43 companies. However, California currently ranks 2 nationwide for Data Operations Engineer job salary. Professionals are advised to focus on high-growth sectors like to offset market challenges.
