As of May 01, 2026, the average annual salary for Data Operations Engineer in Cody, WY is $116,615, equivalent to $56 per hour, $2,243 weekly, or $9,718 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 Cody, WY vary widely, spanning from $101,254 to $132,591. Most professionals fall between the 25th percentile ($108,575) and 75th percentile ($124,978), while top earners (90th percentile) make $132,591 per year. This $16,403 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, Cody Data Operations Engineer often earn 1.7% lower than national averages. However, Cody currently ranks 431 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 $101,254 Cody, WY May 01, 2026
25th Percentile Data Operations Engineer Salary $108,575 Cody, WY May 01, 2026
50th Percentile Data Operations Engineer Salary $116,615 Cody, WY May 01, 2026
75th Percentile Data Operations Engineer Salary $124,978 Cody, WY May 01, 2026
90th Percentile Data Operations Engineer Salary $132,591 Cody, WY May 01, 2026
25% $108,575 10% $101,254 90% $132,591 75% $124,978 $116,615 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

See user submitted job responsibilities for Data Operations Engineer.

Job Openings for Data Operations Engineer in Cody, WY

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

 
 
 
108575
124978
116615

Average Total Cash Compensation

Includes base and annual incentives

 
 
 
118740
152039
134481
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 Cody, WY. The base salary for Data Operations Engineer ranges from $108,575 to $124,978 with the average base salary of $116,615. The total cash compensation, which includes base, and annual incentives, can vary anywhere from $118,740 to $152,039 with the average total cash compensation of $134,481.

Discover how your pay is adjusted for skills, experience, and other factors

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For a real-time salary target, tell us more about your role in the four categories below.

108575
124978

 

About Cody, Wyoming    Cody is a city in Northwest Wyoming and the county seat of Park County, Wyoming, United States. It is named after Colonel William Frederick "Buffalo B....More

Cody, Wyoming  area prices were up 3.1% from a year ago

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