Data warehousing engineer vs engineer

The differences between data warehousing engineers and engineers can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 2-4 years to become a data warehousing engineer, becoming an engineer takes usually requires 4-6 years. Additionally, a data warehousing engineer has an average salary of $94,760, which is higher than the $92,077 average annual salary of an engineer.

The top three skills for a data warehousing engineer include data warehousing, data warehouse and data models. The most important skills for an engineer are python, cloud, and C++.

Data warehousing engineer vs engineer overview

	Data Warehousing Engineer	Engineer
Yearly salary	$94,760	$92,077
Hourly rate	$45.56	$44.27
Growth rate	21%	2%
Number of jobs	209,466	618,207
Job satisfaction	-	4.33
Most common degree	Bachelor's Degree, 69%	Bachelor's Degree, 65%
Average age	39	41
Years of experience	4	6

Data warehousing engineer vs engineer salary

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

	Data Warehousing Engineer	Engineer
Average salary	$94,760	$92,077
Salary range	Between $69,000 And $128,000	Between $65,000 And $130,000
Highest paying City	San Mateo, CA	Huntsville, AL
Highest paying state	California	New Hampshire
Best paying company	American Red Cross	Fort Bend County
Best paying industry	-	Automotive

Differences between data warehousing engineer and engineer education

There are a few differences between a data warehousing engineer and an engineer in terms of educational background:

	Data Warehousing Engineer	Engineer
Most common degree	Bachelor's Degree, 69%	Bachelor's Degree, 65%
Most common major	Computer Science	Mechanical Engineering
Most common college	University of Pennsylvania	Michigan Technological University

Data warehousing engineer vs engineer demographics

Here are the differences between data warehousing engineers' and engineers' demographics:

	Data Warehousing Engineer	Engineer
Average age	39	41
Gender ratio	Male, 66.7% Female, 33.3%	Male, 86.3% Female, 13.7%
Race ratio	Black or African American, 2.9% Unknown, 4.3% Hispanic or Latino, 6.4% Asian, 31.3% White, 55.0% American Indian and Alaska Native, 0.2%	Black or African American, 3.3% Unknown, 4.6% Hispanic or Latino, 9.1% Asian, 15.0% White, 67.9% American Indian and Alaska Native, 0.1%
LGBT Percentage	8%	5%

Differences between data warehousing engineer and engineer duties and responsibilities

Data warehousing engineer example responsibilities.

Perform responsibilities of collecting and understanding business requirements for an internal TCS project to automate the report generations.
Create the data model and prepare the data for extraction using UNIX shell scripting and PL/SQL.
Represent billing data using XML.
Function as DB2 data definition repository manager in the corporate database directorate for corporate billing, ordering, and provisioning system.
Design and implement J2EE solutions in order to develop online underwriting insurance applications.

Engineer example responsibilities.

Manage startup, trouble shooting and testing of PLC control equipment.
Lead project team to design and FDA validate 10-up extreme accuracy vial dosing system and CIP/SIP automate cleaning equipment.
Automate the creation of a WebLogic Admin and manage server deployment scheme within an installer for secure application deployment.
Install and test PLC in client own equipment on site - solve some logical and hardware issues to accomplish goal
Implement and manage continuous delivery systems and methodologies on AWS.
Manage Terraform and refactore from monolithic to application specific components.

Data warehousing engineer vs engineer skills

Common data warehousing engineer skills

Data Warehousing, 32%
Data Warehouse, 19%
Data Models, 10%
Data Pipeline, 10%
PL/SQL, 7%
Data Quality, 7%

Common engineer skills

Python, 8%
Cloud, 6%
C++, 5%
C #, 5%
AWS, 5%
Java, 4%