Skill Gap Analysis for
Data Engineers.
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.
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Data Engineer median salary — US market data
$139,500/yr
Typical range
$86,240 – $204,000
10th–90th percentile of reported earners
Source: O*NET OnLine (BLS Occupational Employment and Wage Statistics) (SOC 15-1243.00, 2025)
US market data — India-specific salary data coming soon.
The 29 skills employers expect from Data Engineers
Weighted by how often they appear in real Data Engineer job descriptions. Tap any skill to see why it matters.
Important skills
Frequently requested and strongly weighted in screeningNice-to-have skills
Differentiators that push you ahead of similar candidatesWhy Assess Your Data Engineer Skills?
The market moves fast. Don't rely on generic advice.
Identify Hidden Gaps
You might know the basics, but do you know the specific libraries and tools top Data Engineer teams use today?
Avoid Auto-Rejection
ATS bots reject resumes that miss critical keywords. We tell you exactly which ones you're missing.
Fast-Track Growth
Don't waste time learning random things. Focus on the high-impact skills that increase your hireability.
Deciding between Data Engineer and something else?
See how the two roles differ, skill by skill.