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The differences between database engineers and data scientists can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a database engineer and a data scientist. Additionally, a data scientist has an average salary of $106,104, which is higher than the $104,648 average annual salary of a database engineer.
The top three skills for a database engineer include python, troubleshoot and java. The most important skills for a data scientist are python, data science, and visualization.
| Database Engineer | Data Scientist | |
| Yearly salary | $104,648 | $106,104 |
| Hourly rate | $50.31 | $51.01 |
| Growth rate | 9% | 16% |
| Number of jobs | 152,951 | 106,973 |
| Job satisfaction | - | - |
| Most common degree | Bachelor's Degree, 70% | Bachelor's Degree, 51% |
| Average age | 46 | 41 |
| Years of experience | 4 | 4 |
A database engineer is responsible for maintaining the security of an organization's network databases, preventing unauthorized access and activities, and upgrading data infrastructure. Database engineers manage the volume of stored data, ensuring that the information would not affect the traffic flow and navigation. They also design database according to business requirements and needs, conducting multiple quality checks before releasing the final outputs for high functionality. A database engineer must have excellent technical skills, as well as extensive knowledge of programming languages and database administration, to create efficient system networks.
A Data Scientist analyzes information from multiple sources in order to gain maximum insight that can give the company a competitive advantage. They work in different domains, including manufacturing, healthcare, education, and finance.
Database engineers and data scientists have different pay scales, as shown below.
| Database Engineer | Data Scientist | |
| Average salary | $104,648 | $106,104 |
| Salary range | Between $72,000 And $150,000 | Between $75,000 And $148,000 |
| Highest paying City | San Francisco, CA | Richmond, CA |
| Highest paying state | California | California |
| Best paying company | Airbnb | The Citadel |
| Best paying industry | Technology | Start-up |
There are a few differences between a database engineer and a data scientist in terms of educational background:
| Database Engineer | Data Scientist | |
| Most common degree | Bachelor's Degree, 70% | Bachelor's Degree, 51% |
| Most common major | Computer Science | Computer Science |
| Most common college | Massachusetts Institute of Technology | Columbia University in the City of New York |
Here are the differences between database engineers' and data scientists' demographics:
| Database Engineer | Data Scientist | |
| Average age | 46 | 41 |
| Gender ratio | Male, 78.7% Female, 21.3% | Male, 79.6% Female, 20.4% |
| Race ratio | Black or African American, 7.4% Unknown, 5.2% Hispanic or Latino, 8.8% Asian, 22.8% White, 55.2% American Indian and Alaska Native, 0.5% | Black or African American, 4.2% Unknown, 5.4% Hispanic or Latino, 6.9% Asian, 18.8% White, 64.2% American Indian and Alaska Native, 0.6% |
| LGBT Percentage | 6% | 9% |