Data Engineer vs Data Scientist.
Same industry, different day-to-day. Here is how the two roles actually differ — skill by skill, from Skilture's profile of each role.
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Data Engineer
Designs, builds, and maintains data pipelines and infrastructure for analytics and machine learning. Responsible for data ingestion, transformation, storage, and ensuring data quality and accessibility across the organization.
29 tracked skills · 6 core
Full Data Engineer skill breakdownData Scientist
Analyzes complex datasets to extract insights, build predictive models, and drive data-informed decision making. Combines statistical analysis, machine learning, and domain expertise to solve business problems.
29 tracked skills · 7 core
Full Data Scientist skill breakdownSalary snapshot
Data Engineer
$139,500/yr median
$86,240 – $204,000 (10th–90th percentile)
Source: O*NET OnLine (BLS Occupational Employment and Wage Statistics) (SOC 15-1243.00, 2025)
Data Scientist
$120,230/yr median
$67,240 – $199,130 (10th–90th percentile)
Source: O*NET OnLine (BLS Occupational Employment and Wage Statistics) (SOC 15-2051.00, 2025)
US figures in US dollars (BLS/O*NET); we have no sourced Indian figure yet.
8 skills both roles expect
These transfer directly if you switch between the two paths — but notice where the importance differs. Tap any skill to see why it matters.
| Skill | For Data Engineers | For Data Scientists |
|---|---|---|
| Python | Core | Core |
| SQL | Core | Core |
| Apache Spark | Core | Nice-to-have |
| AWS | Core | Important |
| Azure | Important | Nice-to-have |
| GCP | Important | Nice-to-have |
| Collaborationsoft | Important | Important |
| Hadoop | Nice-to-have | Nice-to-have |
Where the paths diverge
The skills each role expects that the other doesn't — this is the real cost of choosing one path over the other.
Only Data Engineers need
21 skills, 2 of them core
Still torn? Let your actual skills decide.
Upload your resume and score yourself against both roles. See which one you're already closer to — and exactly what it takes to close the other gap.
Run the full analysis (free)Data Engineer vs Data Scientist: common questions
- What is the difference between a Data Engineer and a Data Scientist?
- Data Engineer: Designs, builds, and maintains data pipelines and infrastructure for analytics and machine learning. Responsible for data ingestion, transformation, storage, and ensuring data quality and accessibility across the organization. Data Scientist: Analyzes complex datasets to extract insights, build predictive models, and drive data-informed decision making. Combines statistical analysis, machine learning, and domain expertise to solve business problems. The two roles share 8 skills, while 21 skills are specific to Data Engineers and 21 to Data Scientists.
- Which skills do Data Engineers and Data Scientists share?
- Skills that are core to both roles include Python, SQL. In total the roles overlap on 8 skills, which makes it realistic to move between them.
- How do I know which role my current skills are closer to?
- Upload your resume at Skilture and check your Resume Score against each role. In about 60 seconds per role you see which one you're already closer to and exactly which skills you'd need to close the gap — free, no signup required.