As of August 2026, the average salary for Data Engineer at Amplifi in the United States is $117,439 per year, which is equivalent to an hourly rate of approximately $56. Most salaries for this position fall within the range of $106,579 to $126,459 annually.
DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.
View detailed salary information by job role at Amplifi. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
$189,495 / year
Salary Range: $167,669 - $210,542
Business Analytics and Insights
$188,607 / year
Salary Range: $166,711 - $210,263
Account Management
$174,327 / year
Salary Range: $167,082 - $180,331
Operations
$173,754 / year
Salary Range: $154,515 - $195,815
Financial Planning and Analysis
$139,586 / year
Salary Range: $131,185 - $155,953
Operations
$136,604 / year
Salary Range: $119,180 - $153,176
Program Management
$129,802 / year
Salary Range: $112,224 - $149,233
Physician Practice Management
$114,603 / year
Salary Range: $104,799 - $122,628
Quality Assurance
$112,405 / year
Salary Range: $101,336 - $123,403
Management
$111,408 / year
Salary Range: $102,141 - $119,440
Solutions Engineering
$105,334 / year
Salary Range: $95,031 - $115,082
Project Management
To succeed and maximize your earning potential as a Data Engineer at Amplifi, 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 Data Engineer can help you plan long-term professional growth. Below is a typical career progression for a Data Engineer, highlighting common next-step roles and opportunities for increased responsibility and compensation.
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