How Much Does A Data Operations Engineer Make in the United States ? (2026 Salary Guide)

Data Operations Engineer Salary in the United States

As of May 01, 2026, the average annual salary for Data Operations Engineer in the US is $119,510, 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 $103,768 to $135,882. Most professionals fall between the 25th percentile ($111,270) and 75th percentile ($128,080), while top earners (90th percentile) make $135,882 per year. This $16,810 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.

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Data Operations Engineer Salaries by Percentile
Percentile Salary Location Last Updated
10th Percentile Data Operations Engineer Salary $103,768 US May 01, 2026
25th Percentile Data Operations Engineer Salary $111,270 US May 01, 2026
50th Percentile Data Operations Engineer Salary $119,510 US May 01, 2026
75th Percentile Data Operations Engineer Salary $128,080 US May 01, 2026
90th Percentile Data Operations Engineer Salary $135,882 US May 01, 2026
25% $111,270 10% $103,768 90% $135,882 75% $128,080 $119,510 50%(Median) Didn’t find job title? Click
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What is A Data Operations Engineer ?

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 ...

Source: (as of 06/04/2025). Read more from

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Career Path for this job

  1. Down a level:

    Data Architect II

    2 - 4 years experience
    Bachelor's Degree

  2. This Job:

    Data Operations Engineer

    4 - 7 years experience
    Bachelor's Degree

  3. Up a level:

    Data Architect IV

    7 + years experience
    Bachelor's Degree

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Understand the total compensation opportunity for A Data Operations Engineer, base salary plus other pay elements

Average Base Salary

Core compensation

 
 
 
111270
128080
119510

Average Total Cash Compensation

Includes base and annual incentives

 
 
 
121687
155813
137818
These charts show 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. The base salary for Data Operations Engineer ranges from $111,270 to $128,080 with the average base salary of $119,510. The total cash compensation, which includes base, and annual incentives, can vary anywhere from $121,687 to $155,813 with the average total cash compensation of $137,818.

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111270
128080

 

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