Data Engineer vs Human Factors Engineer / UX Researcher: Career Comparison
Choosing between Data Engineer and Human Factors Engineer / UX Researcher? This side-by-side compares salary, outlook, education, skills, and what the work actually looks like day-to-day. Data Engineer typically pays more at the median. Both are research-backed Qoollege career guides — read either in full below.
Side-by-side
Higher salary ceiling: Data Engineer. Faster projected growth: Data Engineer. Same education level: no.
| Attribute | Data Engineer | Human Factors Engineer / UX Researcher |
|---|---|---|
| Salary range | $106k – $179k | $95k – $165k |
| Outlook & demand | Strong · +21% by 2034 | High · +18% by 2034 |
| Education level | Bachelor | Master |
| Top skills | Coding, SQL, Cloud Systems, Problem-Solving, Teamwork | User Research, Statistics, Communication, Usability Testing, Empathy |
| Where they work | tech companies, finance, healthcare, retail, manufacturing, cloud and software firms | tech companies, consumer electronics, healthcare, transportation, telecommunications, consulting firms, government agencies, software companies, product teams, research labs |
| Day-to-day work | A data engineer’s day usually centers on building, testing, and improving the systems that move data from one place to another. The work is technical, detail-heavy, and often collaborative, since data engineers need to support analysts, scientists, software teams, and business users. | Daily work usually mixes interviews, usability tests, data analysis, and teamwork. Some projects focus on understanding people before a product is built, while others check whether an existing product is actually working for users. |
| Education routes | 4-year degree; Bootcamp plus portfolio; Self-taught plus projects; Career transition from software or IT | 4-year degree; Master's degree; Bootcamp / certificate route; Self-taught / adjacent-role pivot |
| Projected growth | +21% | +18% |