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Assistant systems engineer vs data engineer

The differences between assistant systems 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 an assistant systems engineer and a data engineer. Additionally, a data engineer has an average salary of $109,675, which is higher than the $79,774 average annual salary of an assistant systems engineer.

The top three skills for an assistant systems engineer include java, web application and data warehouse. The most important skills for a data engineer are python, java, and cloud.

Assistant systems engineer vs data engineer overview

Assistant Systems EngineerData Engineer
Yearly salary$79,774$109,675
Hourly rate$38.35$52.73
Growth rate21%21%
Number of jobs282,019303,105
Job satisfaction--
Most common degreeBachelor's Degree, 80%Bachelor's Degree, 65%
Average age3939
Years of experience44

Assistant systems engineer vs data engineer salary

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

Assistant Systems EngineerData Engineer
Average salary$79,774$109,675
Salary rangeBetween $61,000 And $103,000Between $80,000 And $149,000
Highest paying CitySeattle, WASan Francisco, CA
Highest paying stateWashingtonCalifornia
Best paying companyEntravision CommunicationsThe Citadel
Best paying industryTransportationTechnology

Differences between assistant systems engineer and data engineer education

There are a few differences between an assistant systems engineer and a data engineer in terms of educational background:

Assistant Systems EngineerData Engineer
Most common degreeBachelor's Degree, 80%Bachelor's Degree, 65%
Most common majorElectrical EngineeringComputer Science
Most common collegeUniversity of PennsylvaniaCalifornia State University - Long Beach

Assistant systems engineer vs data engineer demographics

Here are the differences between assistant systems engineers' and data engineers' demographics:

Assistant Systems EngineerData Engineer
Average age3939
Gender ratioMale, 59.7% Female, 40.3%Male, 81.5% Female, 18.5%
Race ratioBlack or African American, 3.1% Unknown, 4.4% Hispanic or Latino, 6.7% Asian, 47.7% White, 37.9% 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 assistant systems engineer and data engineer duties and responsibilities

Assistant systems engineer example responsibilities.

  • Implement jobs in Linux to automate the file-extraction process on the client server side.
  • Perform responsibilities of collecting and understanding business requirements for an internal TCS project to automate the report generations.
  • Design a website using HTML and CSS for a hospital to handle health insurance claims and issues.
  • Used CVS and MVC version control systems in the projects work on.
  • Migrate legacy sales analysis system from mainframes to a modern J2EE system.
  • Publish a document in TCS repository on how to use PMD for code analysis.
  • 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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Assistant systems engineer vs data engineer skills

Common assistant systems engineer skills
  • Java, 9%
  • Web Application, 9%
  • Data Warehouse, 6%
  • PL/SQL, 5%
  • C++, 5%
  • HTML, 4%
Common data engineer skills
  • Python, 12%
  • Java, 9%
  • Cloud, 5%
  • ETL, 5%
  • Scala, 4%
  • Kafka, 4%

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