Skill Demand Index
Engineering data governance — Demand & Depth Analysis
Based on 1 scored job postings out of 4,064 total. Depth levels reflect actual proficiency tiers, not just keyword presence.
0%
Demand Rate
L1
Median Depth
100%
Gap Rate
1
Jobs Analyzed
Minimal
Most employers want Engineering data governance at introductory awareness.
Overview
What is Engineering data governance?
Market context for Engineering data governance in the current job market
Engineering data governance is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for Engineering data governance typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for Engineering data governance:
- •Required in 0% of all scored postings — demand is growing as more employers add it to requirements
- •Employers typically expect L1 depth — foundational knowledge with practical application
- •Most demand comes from Data Analysis roles — 100% of all Engineering data governance jobs
What L1 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 Engineering data governance 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 100% means most applicants lack Engineering data governance at the depth employers need. This is a real opportunity for candidates who invest in building genuine proficiency.
Which roles need Engineering data governance most:
Data Analysis positions drive 100% of demand. Skills commonly paired with Engineering data governance include Agile frameworks (Scrum, SAFe) and Certified Scrum Master (CSM).
Depth Level Distribution
Proficiency Distribution
How candidates match Engineering data governance requirements across 1 scored evaluations
Average depth: L1.0·Median depth: L1.0
Salary Correlation
Pay Impact
How Engineering data governance affects compensation based on postings with disclosed salary data
Without Engineering data governance
$139K
Median $131K
1102 jobs
Skill Demand Insight
“Engineering data governance appears in 0% of all scored jobs.”
From 1 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside Engineering data governance
Role Breakdown
Top Role Categories
Job categories most likely to require Engineering data governance
Gap Analysis
Gap Rate Explained
How often Engineering data governance is identified as a skill gap (L0–L1) in scored applications
High gap rate — most candidates are underqualified
When Engineering data governance appears in a job's requirements, 100% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is Engineering data governance in demand in 2026?
Yes. Engineering data governance appears in 0% of scored job postings on ShouldApply, making it a growing skill in the current market. Based on 1 analyzed jobs, demand is steady across multiple role types.
What level of Engineering data governance do most jobs require?
The median required depth is L1. Many positions accept basic to intermediate proficiency.
Does knowing Engineering data governance increase salary?
Salary data for Engineering data governance is still accumulating.
What other skills pair with Engineering data governance?
The most common pairings are Agile frameworks (Scrum, SAFe), Certified Scrum Master (CSM), PLM tools (Teamcenter, Windchill, ENOVIA), Manufacturing industry experience, Engineering Bachelors Degree or Masters degree. Strengthening these alongside Engineering data governance improves your fit across more positions.
What roles need Engineering data governance the most?
Top roles: Data Analysis. Data Analysis positions have the highest demand at 100% of all Engineering data governance jobs.
How do I improve my Engineering data governance level?
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 Engineering data governance job requirements
ShouldApply scores your profile against each skill at the depth level jobs actually need.
Analyze my Engineering data governance gaps →See how your depth compares to what employers actually require
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