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Data warehousing engineer vs data warehouse developer

The differences between data warehousing engineers 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 warehousing engineer and a data warehouse developer. Additionally, a data warehousing engineer has an average salary of $94,760, which is higher than the $93,381 average annual salary of a data warehouse developer.

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

Data warehousing engineer vs data warehouse developer overview

Data Warehousing EngineerData Warehouse Developer
Yearly salary$94,760$93,381
Hourly rate$45.56$44.89
Growth rate21%21%
Number of jobs209,466194,780
Job satisfaction--
Most common degreeBachelor's Degree, 69%Bachelor's Degree, 68%
Average age3939
Years of experience44

Data warehousing engineer vs data warehouse developer salary

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

Data Warehousing EngineerData Warehouse Developer
Average salary$94,760$93,381
Salary rangeBetween $69,000 And $128,000Between $72,000 And $120,000
Highest paying CitySan Mateo, CASan Francisco, CA
Highest paying stateCaliforniaCalifornia
Best paying companyAmerican Red CrossThe Citadel
Best paying industry-Insurance

Differences between data warehousing engineer and data warehouse developer education

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

Data Warehousing EngineerData Warehouse Developer
Most common degreeBachelor's Degree, 69%Bachelor's Degree, 68%
Most common majorComputer ScienceComputer Science
Most common collegeUniversity of PennsylvaniaMassachusetts Institute of Technology

Data warehousing engineer vs data warehouse developer demographics

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

Data Warehousing EngineerData Warehouse Developer
Average age3939
Gender ratioMale, 66.7% Female, 33.3%Male, 68.4% Female, 31.6%
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, 4.4% Unknown, 4.8% Hispanic or Latino, 8.1% Asian, 30.0% White, 52.6% American Indian and Alaska Native, 0.2%
LGBT Percentage8%8%

Differences between data warehousing engineer and data warehouse 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.

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.
    • Show more

Data warehousing engineer vs data warehouse 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 data warehouse developer skills
  • ETL, 8%
  • Java, 7%
  • Hadoop, 6%
  • Data Warehouse, 6%
  • Visualization, 5%
  • Data Analysis, 5%

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Updated January 8, 2025

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