As of May 01, 2026, the average hourly pay of Data Operations Engineer in the United States is $57. While Salary.com is seeing that Data Operations Engineer salary in the US can go up to $65 or down to $50, but most earn between $53 and $62. Salary.com shows the average base salary (core compensation), as well as the average total cash compensation for the job of Data Operations Engineer in the United States.
| Percentile | Hourly Pay Rate | Location | Last Updated |
| 10th Percentile Data Operations Engineer Salary | $50 | US | May 01, 2026 |
| 25th Percentile Data Operations Engineer Salary | $53 | US | May 01, 2026 |
| 50th Percentile Data Operations Engineer Salary | $57 | US | May 01, 2026 |
| 75th Percentile Data Operations Engineer Salary | $62 | US | May 01, 2026 |
| 90th Percentile Data Operations Engineer Salary | $65 | US | May 01, 2026 |
A Data Operations Engineer is responsible for managing and optimizing data workflows, ensuring data integrity, and supporting data-driven decision-making processes within an organization. This role involves designing and implementing data pipelines, monitoring data quality, and collaborating with cross-functional teams to enhance data accessibility and usability. Salaries for Data Operations Engineers can vary widely based on factors such as experience, location, and industry. On average, entry-level positions may start around $70,000 annually, while mid-level professionals can earn between ...
See user submitted job responsibilities for Data Operations Engineer.
2 - 4 years experience
Bachelor's Degree
4 - 7 years experience
Bachelor's Degree
7 + years experience
Bachelor's Degree
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Core compensation
Includes base and short-term incentives
Recently searched related titles: Data Analytics Architect, Database Designer
Learn more about: Compensation Packages, Employee Flight Risk, Gender Pay Gap, Job Openings for This Role
