Data modeler vs data warehouse developer

The differences between data modelers and data warehouse developers 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 warehouse developer. Additionally, a data modeler has an average salary of $100,495, which is higher than the $93,381 average annual salary of a data warehouse developer.

The top three skills for a data modeler include ETL, data analysis and data architecture. The most important skills for a data warehouse developer are ETL, java, and hadoop.

Data modeler vs data warehouse developer overview

	Data Modeler	Data Warehouse Developer
Yearly salary	$100,495	$93,381
Hourly rate	$48.31	$44.89
Growth rate	9%	21%
Number of jobs	81,645	194,780
Job satisfaction	-	-
Most common degree	Bachelor's Degree, 70%	Bachelor's Degree, 68%
Average age	46	39
Years of experience	4	4

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 data warehouse developer do?

Data Warehouse Developers are information technology (IT) professionals assigned to manage company-related information or data. They are responsible for creating the company's data warehouse, where the company's data will be stored. Data warehouse developers are also expected to provide the maintenance needs related to the program.

Data modeler vs data warehouse developer salary

Data modelers and data warehouse developers have different pay scales, as shown below.

	Data Modeler	Data Warehouse Developer
Average salary	$100,495	$93,381
Salary range	Between $73,000 And $138,000	Between $72,000 And $120,000
Highest paying City	San Francisco, CA	San Francisco, CA
Highest paying state	California	California
Best paying company	Meta	The Citadel
Best paying industry	Pharmaceutical	Insurance

Differences between data modeler and data warehouse developer education

There are a few differences between a data modeler and a data warehouse developer in terms of educational background:

	Data Modeler	Data Warehouse Developer
Most common degree	Bachelor's Degree, 70%	Bachelor's Degree, 68%
Most common major	Computer Science	Computer Science
Most common college	-	Massachusetts Institute of Technology

Data modeler vs data warehouse developer demographics

Here are the differences between data modelers' and data warehouse developers' demographics:

	Data Modeler	Data Warehouse Developer
Average age	46	39
Gender ratio	Male, 71.0% Female, 29.0%	Male, 68.4% Female, 31.6%
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, 4.4% Unknown, 4.8% Hispanic or Latino, 8.1% Asian, 30.0% White, 52.6% American Indian and Alaska Native, 0.2%
LGBT Percentage	6%	8%

Differences between data modeler and data warehouse developer 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.

Data warehouse developer example responsibilities.

Help in set up the SharePoint server, deploy reports and create, manage subscriptions and data driven subscriptions.
Achieve significant performance improvement in reducing response time of queries by rewriting and tuning SQL statements embed in PhP code.
Develop MapReduce jobs in Java API to parse the raw data and store the refined data.
Shell scripting, Linux administration, and Perl language support.
Develop, modify and execute Perl and MySQL scripts from Linux command line.
Liaise with QA in deploying ETL flows and reports into their environments and attend defect calls.

Data modeler vs data warehouse developer skills

Common data modeler skills

ETL, 6%
Data Analysis, 6%
Data Architecture, 6%
Physical Data Models, 5%
Data Warehouse, 5%
Tableau, 5%

Common data warehouse developer skills

ETL, 8%
Java, 7%
Hadoop, 6%
Data Warehouse, 6%
Visualization, 5%
Data Analysis, 5%

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Data Modeler vs Data Warehouse Developer

Updated January 8, 2025

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