Data Science Engineer Salary at Snapbizz BETA
How much does a Snapbizz Data Science Engineer make?
As of August 2026, the average salary for Data Science Engineer at Snapbizz in the United States is $128,310 per year, which is equivalent to an hourly rate of approximately $62. Most salaries for this position fall within the range of $115,452 to $141,043 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.
How much does SnapBizz pay for other job roles?
View detailed salary information by job role at SnapBizz. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
Executive
$292,009 / year
Salary Range: $253,602 - $345,868
Digital
Director, Software
$264,942 / year
Salary Range: $230,589 - $299,090
Software Engineering
Sales Manager, Area
$199,170 / year
Salary Range: $176,423 - $222,849
Sales
Channel Sales Head
$164,190 / year
Salary Range: $148,343 - $180,760
Sales Management
IT Administrator
$143,148 / year
Salary Range: $130,775 - $153,027
Information Technology
Account Relationship Manager
$134,550 / year
Salary Range: $116,482 - $153,226
Account Management
Manager, Commercial
$132,203 / year
Salary Range: $113,945 - $151,366
Sales
Territory Sales Manager
$132,203 / year
Salary Range: $113,945 - $151,366
Sales
Cluster Manager
$131,763 / year
Salary Range: $119,574 - $145,941
Finance
Senior Manager, Quality Assurance
$125,745 / year
Salary Range: $113,861 - $137,864
Management
Senior Software Engineer
$122,900 / year
Salary Range: $113,910 - $130,921
Software Development
Key Skills & Their Impact on a Data Science Engineer at Snapbizz?
To succeed and maximize your earning potential as a Data Science Engineer at Snapbizz, 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 |
|---|---|---|
| Business Intelligence | Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information. | |
| Analysis | Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it. | |
| BI | Business intelligence (BI) is a technology-driven process for analyzing data and delivering actionable information that helps executives, managers and workers make informed business decisions. | |
| 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).
|
|
| Insight |
Insight is the understanding cause and effect based on the identification of relationships and behaviors within a model, context, or scenario.
|
Data Science Engineer Career Path and Growth Opportunities
Understanding the career path for a Data Science Engineer can help you plan long-term professional growth. Below is a typical career progression for a Data Science Engineer, highlighting common next-step roles and opportunities for increased responsibility and compensation.
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FAQ about Salary and Jobs at Snapbizz
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