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Data modeler vs database engineer

The differences between data modelers and database 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 database engineer. Additionally, a database engineer has an average salary of $104,648, 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 database engineer are python, troubleshoot, and java.

Data modeler vs database engineer overview

Data ModelerDatabase Engineer
Yearly salary$100,495$104,648
Hourly rate$48.31$50.31
Growth rate9%9%
Number of jobs81,645152,951
Job satisfaction--
Most common degreeBachelor's Degree, 70%Bachelor's Degree, 70%
Average age4646
Years of experience44

What does a data modeler do?

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.

What does a database engineer do?

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.

Data modeler vs database engineer salary

Data modelers and database engineers have different pay scales, as shown below.

Data ModelerDatabase Engineer
Average salary$100,495$104,648
Salary rangeBetween $73,000 And $138,000Between $72,000 And $150,000
Highest paying CitySan Francisco, CASan Francisco, CA
Highest paying stateCaliforniaCalifornia
Best paying companyMetaAirbnb
Best paying industryPharmaceuticalTechnology

Differences between data modeler and database engineer education

There are a few differences between a data modeler and a database engineer in terms of educational background:

Data ModelerDatabase Engineer
Most common degreeBachelor's Degree, 70%Bachelor's Degree, 70%
Most common majorComputer ScienceComputer Science
Most common college-Massachusetts Institute of Technology

Data modeler vs database engineer demographics

Here are the differences between data modelers' and database engineers' demographics:

Data ModelerDatabase Engineer
Average age4646
Gender ratioMale, 71.0% Female, 29.0%Male, 78.7% Female, 21.3%
Race ratioBlack 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, 7.4% Unknown, 5.2% Hispanic or Latino, 8.8% Asian, 22.8% White, 55.2% American Indian and Alaska Native, 0.5%
LGBT Percentage6%6%

Differences between data modeler and database engineer duties and responsibilities

Data modeler example responsibilities.

  • Lead efforts to analyze data for source/target mappings, create T-SQL scripts for data processing.
  • Involve in data governance processes relate to data quality and information management, managing the metadata repository etc.
  • Accomplish at designing dashboards and data summaries for technical and non-technical audiences and facilitating implementation of business strategies and missions.
  • Design the data marts in dimensional data modeling using star and snowflake schemas.
  • Develop data architecture prototypes and data models including ETL staging models, audit control models and traditional data warehouse dimension/fact models.
  • Work extensively with XML schema generation.
  • Show more

Database engineer example responsibilities.

  • Create PHP page for loan officers to add to their contact list for leads which interact with the MySQL database.
  • Develop Perl and awk scripts to validate the various data on LINUX base system.
  • Develop procedures; UNIX shell, SQL, and Perl scripts; and software programs for database processing.
  • Trace AutoTrader Latino inventory process through the ETL and refresh to identify, troubleshoot, and correct code problems.
  • Develop, implement, and execute a quality assurance program and quality control standards for all ETL (SSIS) activities.
  • Pioneer mainframe development the on PC.
  • Show more

Data modeler vs database engineer skills

Common data modeler skills
  • ETL, 6%
  • Data Analysis, 6%
  • Data Architecture, 6%
  • Physical Data Models, 5%
  • Data Warehouse, 5%
  • Tableau, 5%
Common database engineer skills
  • Python, 10%
  • Troubleshoot, 6%
  • Java, 6%
  • AWS, 4%
  • Database Administration, 4%
  • Unix, 3%

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