Skill Demand Index
dbt (data build tool) — Demand & Depth Analysis
Based on 1 scored job postings out of 4,699 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 dbt (data build tool) at introductory awareness.
Overview
What is dbt (data build tool)?
Market context for dbt (data build tool) in the current job market
dbt (data build tool) is required in 0% of scored job postings on ShouldApply, making it a growing skill in the current job market. Employers looking for dbt (data build tool) typically want candidates who can demonstrate real proficiency, not just surface awareness.
What the data shows for dbt (data build tool):
- •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 Software Engineering roles — 100% of all dbt (data build tool) 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 dbt (data build tool) 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 dbt (data build tool) at the depth employers need. This is a real opportunity for candidates who invest in building genuine proficiency.
Which roles need dbt (data build tool) most:
Software Engineering positions drive 100% of demand. Skills commonly paired with dbt (data build tool) include Years Experience and SQL.
Depth Level Distribution
Proficiency Distribution
How candidates match dbt (data build tool) requirements across 1 scored evaluations
Average depth: L1.0·Median depth: L1.0
Salary Correlation
Pay Impact
How dbt (data build tool) affects compensation based on postings with disclosed salary data
Without dbt (data build tool)
$140K
Median $131K
1266 jobs
Skill Demand Insight
“dbt (data build tool) appears in 0% of all scored jobs.”
From 1 scored job postings
Skill Pairings
Commonly Paired Skills
Other skills that frequently appear alongside dbt (data build tool)
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
100%
co-occurrence
Role Breakdown
Top Role Categories
Job categories most likely to require dbt (data build tool)
Gap Analysis
Gap Rate Explained
How often dbt (data build tool) is identified as a skill gap (L0–L1) in scored applications
High gap rate — most candidates are underqualified
When dbt (data build tool) appears in a job's requirements, 100% of scored applicants received an L0 or L1 (missing or minimal).
Frequently Asked Questions
Is dbt (data build tool) in demand in 2026?
Yes. dbt (data build tool) 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 dbt (data build tool) do most jobs require?
The median required depth is L1. Many positions accept basic to intermediate proficiency.
Does knowing dbt (data build tool) increase salary?
Salary data for dbt (data build tool) is still accumulating.
What other skills pair with dbt (data build tool)?
The most common pairings are Years Experience, SQL, Data Pipeline Development, Cloud Data Warehousing (Snowflake, Amazon Redshift), Data Modeling (Dimensional Modeling, Data Vault). Strengthening these alongside dbt (data build tool) improves your fit across more positions.
What roles need dbt (data build tool) the most?
Top roles: Software Engineering. Software Engineering positions have the highest demand at 100% of all dbt (data build tool) jobs.
How do I improve my dbt (data build tool) 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 dbt (data build tool) job requirements
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Analyze my dbt (data build tool) gaps →See how your depth compares to what employers actually require
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