As of July 2026, the average salary for DataOps Engineer at Xenonstack Co in the United States is $143,561 per year, which is equivalent to an hourly rate of approximately $69. Most salaries for this position fall within the range of $130,322 to $154,524 annually.
View detailed salary information by job role at XenonStack Co. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
$180,006 / year
Salary Range: $163,081 - $197,790
Technology
$166,988 / year
Salary Range: $145,729 - $187,170
Program Management
$152,275 / year
Salary Range: $133,852 - $170,843
Business Development
$152,275 / year
Salary Range: $133,852 - $170,843
Business Development
$142,282 / year
Salary Range: $126,486 - $155,568
Digital Marketing
$141,139 / year
Salary Range: $122,835 - $161,596
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$137,399 / year
Salary Range: $127,348 - $146,404
Software Development
$127,192 / year
Salary Range: $111,685 - $140,633
Consulting
$119,734 / year
Salary Range: $107,585 - $132,193
Business Development
$113,468 / year
Salary Range: $101,958 - $127,623
Technology
$111,288 / year
Salary Range: $99,440 - $124,527
Customer Service
To succeed and maximize your earning potential as a DataOps Engineer at Xenonstack Co, a specific set of skills is crucial. The competencies listed below are highly valued. Explore the skills that can boost your compensation.
| Skills | Level of importance | Description |
|---|---|---|
| SQL | Structured Query Language) is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS). | |
| Python | Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements. | |
| Data engineering | ||
| AWS |
Amazon Web Services, Inc.
|
|
| Big Data |
Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.
|
Understanding the career path for a DataOps Engineer can help you plan long-term professional growth. Below is a typical career progression for a DataOps Engineer, highlighting common next-step roles and opportunities for increased responsibility and compensation.
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