Data Engineer vs DevOps Engineer: Career Comparison
Choosing between Data Engineer and DevOps Engineer? 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: DevOps Engineer. Same education level: yes.
| Attribute | Data Engineer | DevOps Engineer |
|---|---|---|
| Salary range | $106k – $179k | $76k – $168k |
| Outlook & demand | Strong · +21% by 2034 | Very high · +29.2% by 2034 |
| Education level | Bachelor | Bachelor |
| Top skills | Coding, SQL, Cloud Systems, Problem-Solving, Teamwork | Coding, Cloud Platforms, CI/CD Automation, Problem Solving, Teamwork |
| Where they work | tech companies, finance, healthcare, retail, manufacturing, cloud and software firms | tech companies, cloud services, software teams, IT operations, startups, enterprise technology departments |
| 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 is usually a mix of coding, systems troubleshooting, and teamwork. A DevOps Engineer may spend part of the day improving automation and part of the day helping teams respond to reliability or deployment issues. |
| Education routes | 4-year degree; Bootcamp plus portfolio; Self-taught plus projects; Career transition from software or IT | 4-year computer science or software engineering degree; IT support or junior software path into DevOps; Self-taught projects plus certifications; Bootcamp or intensive training with portfolio work |
| Projected growth | +21% | +29.2% |