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Senior data technician vs software engineer

The differences between senior data technicians and software engineers can be seen in a few details. Each job has different responsibilities and duties. While it typically takes 6-12 months to become a senior data technician, 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 $89,734 average annual salary of a senior data technician.

The top three skills for a senior data technician include emerging technologies, data management and SQL. The most important skills for a software engineer are java, python, and software development.

Senior data technician vs software engineer overview

Senior Data TechnicianSoftware Engineer
Yearly salary$89,734$100,260
Hourly rate$43.14$48.20
Growth rate7%21%
Number of jobs79,151339,938
Job satisfaction-3.5
Most common degreeBachelor's Degree, 49%Bachelor's Degree, 73%
Average age3839
Years of experience124

Senior data technician vs software engineer salary

Senior data technicians and software engineers have different pay scales, as shown below.

Senior Data TechnicianSoftware Engineer
Average salary$89,734$100,260
Salary rangeBetween $52,000 And $153,000Between $73,000 And $136,000
Highest paying City-San Bruno, CA
Highest paying state-California
Best paying company-The Citadel
Best paying industry-Start-up

Differences between senior data technician and software engineer education

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

Senior Data TechnicianSoftware Engineer
Most common degreeBachelor's Degree, 49%Bachelor's Degree, 73%
Most common majorBusinessComputer Science
Most common collegeStanford UniversityHarvard University

Senior data technician vs software engineer demographics

Here are the differences between senior data technicians' and software engineers' demographics:

Senior Data TechnicianSoftware Engineer
Average age3839
Gender ratioMale, 58.3% Female, 41.7%Male, 78.0% Female, 22.0%
Race ratioBlack or African American, 9.4% Unknown, 5.7% Hispanic or Latino, 16.6% Asian, 10.5% White, 56.8% American Indian and Alaska Native, 1.0%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 Percentage8%8%

Differences between senior data technician and software engineer duties and responsibilities

Senior data technician example responsibilities.

  • Manage clinical trials by gathering data, monitoring adverse events, screening patients for eligibility and scheduling patients per protocol.
  • Prepare data and update databases with information from QC checks, audits, data change forms, and site monitoring.
  • Implement action plans including performing require upgrades and installation of PC's and require peripheral equipment.
  • Manage clinical trials by gathering data, monitoring adverse events, screening patients for eligibility and scheduling patients per protocol.
  • Coordinate daily scrum meeting with project team members helping to facilitate communication, maximize productivity and resolve issues early.

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

Senior data technician vs software engineer skills

Common senior data technician skills
  • Emerging Technologies, 23%
  • Data Management, 10%
  • SQL, 10%
  • Troubleshoot, 8%
  • Data Collection, 7%
  • Data Processing, 7%
Common software engineer skills
  • Java, 15%
  • Python, 9%
  • Software Development, 6%
  • Database, 3%
  • GIT, 3%
  • Object Oriented Programming, 3%

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