Skill Demand Index
Data Engineering — Demand & Depth Analysis
Based on 16 scored job postings out of 4,995 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.3%
Demand Rate
L2
Median Depth
50%
Gap Rate
16
Jobs Analyzed
Minimal
Most employers want Data Engineering at introductory awareness.
Overview
What is Data Engineering?
Market context for Data Engineering in the current job market
Data Engineering is required in 0.3% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Data Engineering typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data Engineering:
- •Required in 0.3% of all scored postings — demand is growing as more employers add it to requirements
- •Employers typically expect L2 depth — foundational knowledge with practical application
- •Most demand comes from Software Engineering roles — 38% of all Data Engineering jobs
- •Median salary for roles requiring Data Engineering: $114K vs $133K for roles that don't — a $11K difference
What L2 means in practice:
L1 (Minimal) means you can discuss the concept but haven’t used it in production. Many entry-level positions accept this.
This means employers aren't looking for someone who has used Data Engineering once or twice. They want evidence of professional application — shipped work, measurable outcomes, and the ability to operate independently.
Common skill gaps:
The gap rate of 50% means most applicants lack Data Engineering at the depth employers need. This is a real opportunity for candidates who invest in building genuine proficiency.
Which roles need Data Engineering most:
Software Engineering positions drive 38% of demand. Other and Data Science / ML also frequently list Data Engineering as a requirement. Skills commonly paired with Data Engineering include SQL and Bachelor's Degree.
Depth Level Distribution
Proficiency Distribution
How candidates match Data Engineering requirements across 16 scored evaluations
Average depth: L1.7·Median depth: L1.5
Salary Correlation
Pay Impact
How Data Engineering affects compensation based on postings with disclosed salary data
With Data Engineering
$130K
Median $114K
6 jobs
Without Data Engineering
$141K
Median $133K
1230 jobs
↓ $11K lower
for roles requiring Data Engineering
Skill Demand Insight
“Data Engineering appears in 0.3% of all scored jobs.”
From 16 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Data Engineering
Role Breakdown
Top Role Categories
Job categories most likely to require Data Engineering
Gap Analysis
Gap Rate Explained
How often Data Engineering is identified as a skill gap (L0–L1) in scored applications
Moderate gap rate — many candidates lack this skill
When Data Engineering appears in a job's requirements, 50% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
See how you stack up against Data Engineering job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data Engineering gaps →See how your depth compares to what employers actually require
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