Skill Demand Index
Based on 2 scored job postings out of 2,449 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0.1%
Demand Rate
L2
Median Depth
0%
Gap Rate
2
Jobs Analyzed
Basic
Most employers want Data Infrastructure at basic competency with practical application.
Overview
Market context for Data Infrastructure in the current job market
Data Infrastructure is required in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Data Infrastructure typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Data Infrastructure:
What L2 means in practice:
L2 (Basic) means you’ve built small things with Data Infrastructure — personal projects or bootcamp work. Employers accept this for junior roles.
This means employers aren't looking for someone who has used Data Infrastructure 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 0% means most candidates have adequate Data Infrastructure proficiency. To stand out, aim for L4-L5 depth with concrete evidence.
Which roles need Data Infrastructure most:
Other positions drive 50% of demand. Data Science / ML also frequently list Data Infrastructure as a requirement. Skills commonly paired with Data Infrastructure include E-commerce Retailer/Marketplace Experience.
Depth Level Distribution
How candidates match Data Infrastructure requirements across 2 scored evaluations
Average depth: L2.0·Median depth: L2.0
Salary Correlation
How Data Infrastructure affects compensation based on postings with disclosed salary data
Without Data Infrastructure
$137K
Median $130K
454 jobs
Skill Demand Insight
“Data Infrastructure appears in 0.1% of all scored jobs.”
From 2 scored job postings
Skill Pairings
Other skills that frequently appear alongside Data Infrastructure
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
50%
co-occurrence
Role Breakdown
Job categories most likely to require Data Infrastructure
Gap Analysis
How often Data Infrastructure is identified as a skill gap (L0–L1) in scored applications
Very low gap rate — candidates generally have this skill
When Data Infrastructure appears in a job's requirements, 0% of scored applicants received an L0 or L1 (missing or minimal).
Yes. Data Infrastructure appears in 0.1% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 2 analyzed jobs, demand is steady across multiple role types.
The median required depth is L2. Many positions accept basic to intermediate proficiency.
Salary data for Data Infrastructure is still accumulating.
The most common pairings are E-commerce Retailer/Marketplace Experience, E-commerce Management, Content Processes, Digital Storefront Collaboration, Content Optimization. Strengthening these alongside Data Infrastructure improves your fit across more positions.
Top roles: Other, Data Science / ML. Other positions have the highest demand at 50% of all Data Infrastructure jobs.
L1→L2: online courses and personal projects. L2→L3: daily professional use and shipped work. L3→L4: mentoring others and optimizing processes. L4→L5: architecture decisions, open source contributions, or published work.
See how you stack up against Data Infrastructure job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Data Infrastructure gaps →See how your depth compares to what employers actually require
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