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Data warehousing engineer vs etl developer

The differences between data warehousing engineers and etl 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 an etl developer. Additionally, a data warehousing engineer has an average salary of $94,760, which is higher than the $92,419 average annual salary of an etl developer.

The top three skills for a data warehousing engineer include data warehousing, data warehouse and data models. The most important skills for an etl developer are sql server, data warehouse, and unix.

Data warehousing engineer vs etl developer overview

Data Warehousing EngineerETL Developer
Yearly salary$94,760$92,419
Hourly rate$45.56$44.43
Growth rate21%21%
Number of jobs209,46688,652
Job satisfaction--
Most common degreeBachelor's Degree, 69%Bachelor's Degree, 76%
Average age3939
Years of experience44

Data warehousing engineer vs etl developer salary

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

Data Warehousing EngineerETL Developer
Average salary$94,760$92,419
Salary rangeBetween $69,000 And $128,000Between $72,000 And $118,000
Highest paying CitySan Mateo, CASan Francisco, CA
Highest paying stateCaliforniaWashington
Best paying companyAmerican Red CrossMeta
Best paying industry-Health Care

Differences between data warehousing engineer and etl developer education

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

Data Warehousing EngineerETL Developer
Most common degreeBachelor's Degree, 69%Bachelor's Degree, 76%
Most common majorComputer ScienceComputer Science
Most common collegeUniversity of PennsylvaniaMassachusetts Institute of Technology

Data warehousing engineer vs etl developer demographics

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

Data Warehousing EngineerETL Developer
Average age3939
Gender ratioMale, 66.7% Female, 33.3%Male, 68.0% Female, 32.0%
Race ratioBlack 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, 4.3% Unknown, 4.7% Hispanic or Latino, 8.0% Asian, 35.2% White, 47.7% American Indian and Alaska Native, 0.2%
LGBT Percentage8%8%

Differences between data warehousing engineer and etl 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.

Etl developer example responsibilities.

  • Support and maintain production Cognos web portal to manage the OLAP cube and folders.
  • Implement Perl scripts to load the financial information and to automate frequent reports for the users.
  • Coordinate with DBA in creating and managing table, indexes, table spaces, triggers, dB links and privileges.
  • Migrate the jobs from DataStage 8.1 to 8.7 and the environment from AIX to LINUX.
  • Export data from HDFS environment into RDBMS using Sqoop for report generation and visualization purpose.
  • Develop PL/SQL package for conversion of legacy notes associate with a service request using service request API.
    • Show more

Data warehousing engineer vs etl 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 etl developer skills
  • SQL Server, 7%
  • Data Warehouse, 6%
  • Unix, 5%
  • Data Analysis, 4%
  • BI, 4%
  • Data Quality, 4%

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Updated January 8, 2025

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