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The differences between data modelers and data engineers can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a data modeler and a data engineer. Additionally, a data engineer has an average salary of $109,675, which is higher than the $100,495 average annual salary of a data modeler.
The top three skills for a data modeler include ETL, data analysis and data architecture. The most important skills for a data engineer are python, java, and cloud.
A data modeler is responsible for designing and creating network systems and applications for efficient and secured data storage solutions. Data modelers work closely with the data management team to identify business needs and execute data modeling techniques for comprehensive analysis. They also strategize in improving existing data systems, upgrading infrastructure, and configuring information for compatibility with every business unit. A data modeler must have excellent technical skills, as well as a strong command of programming languages to modify and optimize data models for smooth navigation and access.
A data engineer is someone who makes data science possible. This IT job requires the search for data set trends and algorithm development to make raw data more beneficial to the enterprise. Data engineers are responsible for establishing and maintaining an environment that permits other data functions. The necessary skills for the job include in-depth knowledge of multiple programming languages and SQL database design. Among the other skills data engineers should develop include data warehousing and architecture, data mining and modeling, and statistical regression analysis.
Data modelers and data engineers have different pay scales, as shown below.
| Data Modeler | Data Engineer | |
| Average salary | $100,495 | $109,675 |
| Salary range | Between $73,000 And $138,000 | Between $80,000 And $149,000 |
| Highest paying City | San Francisco, CA | San Francisco, CA |
| Highest paying state | California | California |
| Best paying company | Meta | The Citadel |
| Best paying industry | Pharmaceutical | Technology |
There are a few differences between a data modeler and a data engineer in terms of educational background:
| Data Modeler | Data Engineer | |
| Most common degree | Bachelor's Degree, 70% | Bachelor's Degree, 65% |
| Most common major | Computer Science | Computer Science |
| Most common college | - | California State University - Long Beach |
Here are the differences between data modelers' and data engineers' demographics:
| Data Modeler | Data Engineer | |
| Average age | 46 | 39 |
| Gender ratio | Male, 71.0% Female, 29.0% | Male, 81.5% Female, 18.5% |
| Race ratio | Black or African American, 6.2% Unknown, 5.1% Hispanic or Latino, 8.1% Asian, 28.6% White, 51.5% American Indian and Alaska Native, 0.5% | Black or African American, 4.3% Unknown, 4.8% Hispanic or Latino, 8.0% Asian, 30.1% White, 52.7% American Indian and Alaska Native, 0.2% |
| LGBT Percentage | 6% | 8% |