Data warehousing engineer vs developer

The differences between data warehousing engineers and 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 warehousing engineer and a developer. Additionally, a developer has an average salary of $100,076, which is higher than the $94,760 average annual salary of a data warehousing engineer.

The top three skills for a data warehousing engineer include data warehousing, data warehouse and data models. The most important skills for a developer are javascript, python, and java.

Data warehousing engineer vs developer overview

	Data Warehousing Engineer	Developer
Yearly salary	$94,760	$100,076
Hourly rate	$45.56	$48.11
Growth rate	21%	21%
Number of jobs	209,466	262,570
Job satisfaction	-	5
Most common degree	Bachelor's Degree, 69%	Bachelor's Degree, 71%
Average age	39	39
Years of experience	4	4

Data warehousing engineer vs developer salary

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

	Data Warehousing Engineer	Developer
Average salary	$94,760	$100,076
Salary range	Between $69,000 And $128,000	Between $76,000 And $131,000
Highest paying City	San Mateo, CA	-
Highest paying state	California	Washington
Best paying company	American Red Cross	-
Best paying industry	-	Finance

Differences between data warehousing engineer and developer education

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

	Data Warehousing Engineer	Developer
Most common degree	Bachelor's Degree, 69%	Bachelor's Degree, 71%
Most common major	Computer Science	Computer Science
Most common college	University of Pennsylvania	Massachusetts Institute of Technology

Data warehousing engineer vs developer demographics

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

	Data Warehousing Engineer	Developer
Average age	39	39
Gender ratio	Male, 66.7% Female, 33.3%	Male, 74.9% Female, 25.1%
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, 4.6% Unknown, 4.9% Hispanic or Latino, 8.4% Asian, 29.8% White, 52.2% American Indian and Alaska Native, 0.2%
LGBT Percentage	8%	8%

Differences between data warehousing engineer and developer 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.

Developer example responsibilities.

Manage continuous integration, configure the servers using Jenkins.
Analyze and manage the project throughout SDLC, written/review specification documents.
Configure and manage JGroup multicasting communication for apache tomcat web servers.
Upgrade internal loan and prospect tracking system to be more responsive and utilizing the latest in CSS & HTML.
Implement this application, using object-orient Perl to dynamically generate HTML with embed JavaScript, interacting with back-end databases via DBI/DBD.
Integrate content feeds via JSON, XML, and RSS from both internal and external sources into web content management components.

Data warehousing engineer vs developer 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 developer skills

JavaScript, 7%
Python, 6%
Java, 6%
C++, 5%
API, 4%
CSS, 4%