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Configuration engineer vs data engineer

The differences between configuration engineers and data engineers can be seen in a few details. Each job has different responsibilities and duties. It typically takes 2-4 years to become both a configuration engineer and a data engineer. Additionally, a data engineer has an average salary of $109,675, which is higher than the $101,024 average annual salary of a configuration engineer.

The top three skills for a configuration engineer include python, unix and java. The most important skills for a data engineer are python, java, and cloud.

Configuration engineer vs data engineer overview

Configuration EngineerData Engineer
Yearly salary$101,024$109,675
Hourly rate$48.57$52.73
Growth rate21%21%
Number of jobs202,945303,105
Job satisfaction--
Most common degreeBachelor's Degree, 69%Bachelor's Degree, 65%
Average age3939
Years of experience44

What does a configuration engineer do?

A Configuration Engineer specializes in designing and developing computer systems and products. Among their responsibilities include understanding the company's needs, performing extensive research and analysis, coordinating with fellow engineers and experts, developing blueprints and prototypes, and creating test structures to be the basis for improvement. They may gather and analyze data from existing projects to identify their strengths and weaknesses, implementing solutions against problem areas. Moreover, as a configuration engineer, it is essential to monitor the progress of staff, all while implementing safety policies and standards.

What does a data engineer do?

A data engineer is someone who makes data science possible. This IT job requires the search for data set trends and algorithm development to make raw data more beneficial to the enterprise. Data engineers are responsible for establishing and maintaining an environment that permits other data functions. The necessary skills for the job include in-depth knowledge of multiple programming languages and SQL database design. Among the other skills data engineers should develop include data warehousing and architecture, data mining and modeling, and statistical regression analysis.

Configuration engineer vs data engineer salary

Configuration engineers and data engineers have different pay scales, as shown below.

Configuration EngineerData Engineer
Average salary$101,024$109,675
Salary rangeBetween $77,000 And $132,000Between $80,000 And $149,000
Highest paying CitySan Francisco, CASan Francisco, CA
Highest paying stateCaliforniaCalifornia
Best paying companyPayPalThe Citadel
Best paying industryTechnologyTechnology

Differences between configuration engineer and data engineer education

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

Configuration EngineerData Engineer
Most common degreeBachelor's Degree, 69%Bachelor's Degree, 65%
Most common majorComputer ScienceComputer Science
Most common collegeGeorgia Institute of TechnologyCalifornia State University - Long Beach

Configuration engineer vs data engineer demographics

Here are the differences between configuration engineers' and data engineers' demographics:

Configuration EngineerData Engineer
Average age3939
Gender ratioMale, 80.6% Female, 19.4%Male, 81.5% Female, 18.5%
Race ratioBlack or African American, 4.7% Unknown, 4.9% Hispanic or Latino, 8.4% Asian, 29.7% White, 52.1% American Indian and Alaska Native, 0.2%Black or African American, 4.3% Unknown, 4.8% Hispanic or Latino, 8.0% Asian, 30.1% White, 52.7% American Indian and Alaska Native, 0.2%
LGBT Percentage8%8%

Differences between configuration engineer and data engineer duties and responsibilities

Configuration engineer example responsibilities.

  • Used SharePoint application and implementing tools that help organizations manage processes and data.
  • Develop and maintains SVN source control and Jenkins CI automate builds and deployments.
  • Involve in migration of the version control systems like SVN/Git and continuous integration tools like Jenkins.
  • Maintain high availability cluster and standalone server environments and refine automation components with scripting and configuration management (Ansible).
  • Troubleshoot to resolve problems in an existing JIRA installation and implement all approve changes.
  • Track all the changes in JIRA tracking tool and provide metrics reporting for the project release activities.
  • Show more

Data engineer example responsibilities.

  • Used SQOOP to import the data from RDBMS to HDFS to achieve the reliability of data.
  • Develop automation scripts in python to automate the test, analyze, plot and report the results.
  • Used Linux shell scripts to automate the build process, and to perform regular jobs like file transfers between different hosts.
  • Increase audit efficiency by developing SAS programs to automate manual testing procedures.
  • Used Teradata database management system to manage the warehousing operations and parallel processing.
  • Configure and manage JobScope ERP system for a make-to-order/make-to-stock design and manufacturing environment.
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Configuration engineer vs data engineer skills

Common configuration engineer skills
  • Python, 10%
  • Unix, 8%
  • Java, 8%
  • Linux, 5%
  • Jenkins, 5%
  • GIT, 4%
Common data engineer skills
  • Python, 12%
  • Java, 9%
  • Cloud, 5%
  • ETL, 5%
  • Scala, 4%
  • Kafka, 4%

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