As of May 01, 2026, the average annual salary for Data Operations Engineer in Tampa, FL is $113,272, equivalent to $54 per hour, $2,178 weekly, or $9,439 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 Tampa, FL vary widely, spanning from $98,351 to $128,789. Most professionals fall between the 25th percentile ($105,462) and 75th percentile ($121,394), while top earners (90th percentile) make $128,789 per year. This $15,932 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, Tampa Data Operations Engineer often earn 0.2% lower than national averages. However, Tampa currently ranks 568 statewide for Data Operations Engineer job salary. Professionals are advised to focus on high-growth sectors like to offset market challenges.

Based on HR-reported data: a national average with a geographic differential
Data Operations Engineer Salaries by Percentile
Percentile Salary Location Last Updated
10th Percentile Data Operations Engineer Salary $98,351 Tampa, FL May 01, 2026
25th Percentile Data Operations Engineer Salary $105,462 Tampa, FL May 01, 2026
50th Percentile Data Operations Engineer Salary $113,272 Tampa, FL May 01, 2026
75th Percentile Data Operations Engineer Salary $121,394 Tampa, FL May 01, 2026
90th Percentile Data Operations Engineer Salary $128,789 Tampa, FL May 01, 2026
25% $105,462 10% $98,351 90% $128,789 75% $121,394 $113,272 50%(Median) Didn’t find job title? Click
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Data Engineer-Data Platform & Analytics

Moody's Corporation - Boca Raton, FL

Data Engineer-Data Platform & Analytics

Moody's Corporation - Boca Raton, FL

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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

See user submitted job responsibilities for Data Operations Engineer.

Job Openings for Data Operations Engineer in Tampa, FL

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

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

Average Base Salary

Core compensation

 
 
 
105462
121394
113272

Average Total Cash Compensation

Includes base and annual incentives

 
 
 
115335
147680
130624
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 Tampa, FL. The base salary for Data Operations Engineer ranges from $105,462 to $121,394 with the average base salary of $113,272. The total cash compensation, which includes base, and annual incentives, can vary anywhere from $115,335 to $147,680 with the average total cash compensation of $130,624.

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105462
121394

 

About Tampa, Florida    Tampa is a major city in, and the county seat of, Hillsborough County, Florida, United States. It is on the west coast of Florida on Tampa Bay, near t....More

Tampa, Florida  area prices were up 1.1% from a year ago

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