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Data warehousing engineer vs applications developer

The differences between data warehousing engineers and applications 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 applications developer. Additionally, a data warehousing engineer has an average salary of $94,760, which is higher than the $89,205 average annual salary of an applications developer.

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

Data warehousing engineer vs applications developer overview

Data Warehousing EngineerApplications Developer
Yearly salary$94,760$89,205
Hourly rate$45.56$42.89
Growth rate21%21%
Number of jobs209,466279,877
Job satisfaction--
Most common degreeBachelor's Degree, 69%Bachelor's Degree, 71%
Average age3939
Years of experience44

Data warehousing engineer vs applications developer salary

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

Data Warehousing EngineerApplications Developer
Average salary$94,760$89,205
Salary rangeBetween $69,000 And $128,000Between $67,000 And $118,000
Highest paying CitySan Mateo, CASan Francisco, CA
Highest paying stateCaliforniaWashington
Best paying companyAmerican Red CrossMeta
Best paying industry-Finance

Differences between data warehousing engineer and applications developer education

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

Data Warehousing EngineerApplications Developer
Most common degreeBachelor's Degree, 69%Bachelor's Degree, 71%
Most common majorComputer ScienceComputer Science
Most common collegeUniversity of PennsylvaniaMassachusetts Institute of Technology

Data warehousing engineer vs applications developer demographics

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

Data Warehousing EngineerApplications Developer
Average age3939
Gender ratioMale, 66.7% Female, 33.3%Male, 77.0% Female, 23.0%
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, 4.4% Unknown, 4.8% Hispanic or Latino, 8.2% Asian, 29.9% White, 52.5% American Indian and Alaska Native, 0.2%
LGBT Percentage8%8%

Differences between data warehousing engineer and applications 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.

Applications developer example responsibilities.

  • Used to update issue tracker and manage code using version control system git.
  • Create UNIX shell scripts to automate the FTP process, handling of data discards, data errors, compliance errors etc.
  • Manage complete SDLC for development projects including gathering and determining business requirements.
  • Used AngularJS HTTP request to read data from web services and process JSON data to render in the UI.
  • Develop interfaces using JavaScript, HTML technologies for several web applications to fetch and graphically present require data from database.
  • Core service uses the main database and the other Microservices use their individual databases to access and store data.
  • Show more

Data warehousing engineer vs applications 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 applications developer skills
  • Java, 11%
  • JavaScript, 7%
  • C++, 6%
  • QA, 4%
  • Database, 4%
  • HTML, 4%

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