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Data process specialist vs software engineer

The differences between data process specialists and software engineers can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 1-2 years to become a data process specialist, becoming a software engineer takes usually requires 2-4 years. Additionally, a software engineer has an average salary of $100,260, which is higher than the $48,604 average annual salary of a data process specialist.

The top three skills for a data process specialist include data entry, data management and data accuracy. The most important skills for a software engineer are java, python, and software development.

Data process specialist vs software engineer overview

Data Process SpecialistSoftware Engineer
Yearly salary$48,604$100,260
Hourly rate$23.37$48.20
Growth rate10%21%
Number of jobs147,321339,938
Job satisfaction-3.5
Most common degreeBachelor's Degree, 48%Bachelor's Degree, 73%
Average age4239
Years of experience24

What does a data process specialist do?

A data processing specialist is a data entry professional who specializes in collecting, interpreting, and organizing data according to company standards and policies. They usually work on spreadsheets, documents, databases, and presentations to arrange and convey data in an easy-to-understand format, all while adhering to deadlines. They may also conduct their own reviews and assessments to identify inconsistencies and errors, performing corrective measures right away. Moreover, a data processing specialist must maintain an open and transparent communication line with managers and co-workers for an efficient workflow.

What does a software engineer do?

A software engineer is a computer science professional who is responsible for the development of information systems, designing and building computer systems software and applications software. They often prefer to call themselves as a software developer or computer programmer. They have substantial knowledge of programming languages, software development, and computer operating systems, and other technologies. They use these to turn a plan into a final output. They can create a design, test, and develop software based on the needs of their clients.

Data process specialist vs software engineer salary

Data process specialists and software engineers have different pay scales, as shown below.

Data Process SpecialistSoftware Engineer
Average salary$48,604$100,260
Salary rangeBetween $30,000 And $78,000Between $73,000 And $136,000
Highest paying CityBaltimore, MDSan Bruno, CA
Highest paying stateNew YorkCalifornia
Best paying companyCAMRIS International, Inc.The Citadel
Best paying industryGovernmentStart-up

Differences between data process specialist and software engineer education

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

Data Process SpecialistSoftware Engineer
Most common degreeBachelor's Degree, 48%Bachelor's Degree, 73%
Most common majorBusinessComputer Science
Most common collegeStanford UniversityHarvard University

Data process specialist vs software engineer demographics

Here are the differences between data process specialists' and software engineers' demographics:

Data Process SpecialistSoftware Engineer
Average age4239
Gender ratioMale, 36.6% Female, 63.4%Male, 78.0% Female, 22.0%
Race ratioBlack or African American, 12.1% Unknown, 5.3% Hispanic or Latino, 15.2% Asian, 10.6% White, 56.4% American Indian and Alaska Native, 0.4%Black or African American, 4.4% Unknown, 4.8% Hispanic or Latino, 8.1% Asian, 34.0% White, 48.5% American Indian and Alaska Native, 0.2%
LGBT Percentage11%8%

Differences between data process specialist and software engineer duties and responsibilities

Data process specialist example responsibilities.

  • Collaborate with leads to ensure information they request publish on SharePoint is pertinent, up-to-date, and value.
  • Process raw subscription and customer data using SQL on a strict schedule.
  • Test new access create on Unix and mainframe.
  • Research and perform QC on citation for outside departments.
  • Contact and inform FDA contacts of the statues of the investigations
  • Perform backups, print queue maintenance and run scheduled processes.
  • Show more

Software engineer example responsibilities.

  • Manage product releases, solve software bugs in a client/server environment, write UNIX shell scripts to manage development environments.
  • Manage responsive UI design, implementing complex, dynamic functionality.
  • Define continuous integration process and configure Jenkins build server to manage it.
  • Develop a python serial communication program to automate test procedures and verify proper operation.
  • Manage website/software/mobile applications by generating full scope requirements base upon PMI / SDLC guidance.
  • Contribute to implementing microservices used to manage entities and maintain a synchronize state between supplier and distributor.
  • Show more

Data process specialist vs software engineer skills

Common data process specialist skills
  • Data Entry, 41%
  • Data Management, 8%
  • Data Accuracy, 5%
  • SQL, 4%
  • Assistance Program, 3%
  • Computer System, 3%
Common software engineer skills
  • Java, 15%
  • Python, 9%
  • Software Development, 6%
  • Database, 3%
  • GIT, 3%
  • Object Oriented Programming, 3%

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