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Data warehousing engineer vs software engineer lead

The differences between data warehousing engineers and software engineers lead 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 software engineer lead. Additionally, a software engineer lead has an average salary of $125,565, 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 software engineer lead are java, python, and software development.

Data warehousing engineer vs software engineer lead overview

Data Warehousing EngineerSoftware Engineer Lead
Yearly salary$94,760$125,565
Hourly rate$45.56$60.37
Growth rate21%21%
Number of jobs209,466342,462
Job satisfaction--
Most common degreeBachelor's Degree, 69%Bachelor's Degree, 69%
Average age3939
Years of experience44

Data warehousing engineer vs software engineer lead salary

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

Data Warehousing EngineerSoftware Engineer Lead
Average salary$94,760$125,565
Salary rangeBetween $69,000 And $128,000Between $93,000 And $168,000
Highest paying CitySan Mateo, CASeattle, WA
Highest paying stateCaliforniaWashington
Best paying companyAmerican Red CrossMeta
Best paying industry-Automotive

Differences between data warehousing engineer and software engineer lead education

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

Data Warehousing EngineerSoftware Engineer Lead
Most common degreeBachelor's Degree, 69%Bachelor's Degree, 69%
Most common majorComputer ScienceComputer Science
Most common collegeUniversity of PennsylvaniaHarvard University

Data warehousing engineer vs software engineer lead demographics

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

Data Warehousing EngineerSoftware Engineer Lead
Average age3939
Gender ratioMale, 66.7% Female, 33.3%Male, 86.7% Female, 13.3%
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, 4.5% Unknown, 4.8% Hispanic or Latino, 8.3% Asian, 29.9% White, 52.3% American Indian and Alaska Native, 0.2%
LGBT Percentage8%8%

Differences between data warehousing engineer and software engineer lead 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.

Software engineer lead example responsibilities.

  • Lead project for setting up DR for Bitbucket and clustering for improve performance.
  • Manage development and production server environments in Linux.
  • Manage entire QA process from requirements documentation to final release testing.
  • Manage technical investigations of software and database problems; coordinating between users and developers, and developing fixes or recommending workarounds.
  • Enhance visualization and user friendly front-end are designed and develop using JSP, HTML, CSS.
  • Develop C++ and Java tools to perform monitoring and analysis of dynamic memory allocation and graphics image conversions.
  • Show more

Data warehousing engineer vs software engineer lead 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 software engineer lead skills
  • Java, 15%
  • Python, 5%
  • Software Development, 5%
  • AWS, 4%
  • Spring Boot, 4%
  • JavaScript, 4%

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