Career comparison
Data Analyst vs Data Engineer
A side-by-side read on pay, outlook, and — the part that actually decides it — which one fits the way you work.
Data Analyst
$92,000median
$65K – $165K
Data Analyst rewards strength in analytical thinking and execution discipline.
Data Engineer
$152,000median
$105K – $285K
Data Engineer rewards strength in technical depth and analytical thinking.
Head to head
MetricData AnalystData Engineer
Median salary$92k$152k✓
5-year growth70/10088/100✓
Future-proof56/10084/100✓
Remote potential90/100✓82/100
Stress level48/100✓60/100
Entry difficulty52/100✓72/100
Figures from the Work Fit IQ catalog, calibrated to public 2024-2026 US labor signals (BLS OEWS/OOH, O*NET, Levels.fyi). A highlighted side means a meaningful edge on that metric, not a verdict on the whole career.
The key differences in the work itself
- Data Engineer leans noticeably more on leadership (50/100 vs 38/100), so if that's your strength it points toward Data Engineer over Data Analyst.
- Data Engineer leans noticeably more on autonomy (76/100 vs 64/100), so if that's your strength it points toward Data Engineer over Data Analyst.
- Data Engineer leans noticeably more on technical depth (92/100 vs 80/100), so if that's your strength it points toward Data Engineer over Data Analyst.
Read the full guides
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