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dbt: market

dbt (data build tool) is the standard for in-warehouse transformations: data models are written in SQL, versioned in git, tested and documented as code. We track 2 290 open positions listing dbt, 2 188 of them fresh. dbt gave rise to the analytics-engineer profession and became a mandatory part of the modern data stack next to Snowflake, BigQuery and Databricks. Most of the demand comes from Data, Analytics Engineer and ML/AI roles. It most often appears next to SQL, Python and Airflow. 41% of the postings allow fully remote work. Below is measured dbt demand.

2,290
open jobs
$9,583
median $/mo
210
observed supply
41%
remote

The dbt market currently has 2,290 open roles, 2,188 of them freshly observed. Median salary $9,583/mo. Observed candidate pool — 210.

41% of dbt postings allow fully remote work; the share counts only postings that state the work format.

⚠ salary known for 228 of 2290 jobs; remote share from 2010 with a stated format; 2188 counted as fresh observations; trend and hiring difficulty are not shown

Timeline: postings and sources

How many dbt postings appeared each week since 10 Aug, and from how many sources. The second line separates market growth from coverage growth: a jump in the week new sources were connected means we started seeing more, not that the market grew.

New postings and active sources per week

Sources over the period: 107

New sources connected: 17 Aug +14 · 24 Aug +12 · 31 Aug +11 · 7 Sept +7 · 14 Sept +8 · 21 Sept +19 · 28 Sept +11 · 5 Oct +4 · 12 Oct +6

Week = posting first-seen date, all statuses. A posting belongs to the technology by its stack tag; the series starts on 10 Aug 2026 — earlier tags were assigned differently and are not comparable. Sources are distinct collection channels; their names are not published.

Salaries over time

Median dbt salary per week, USD per month.

Median salary, USD per month

Only postings with a USD salary and a known period (month or year), $500–$50,000 per month. Weeks with fewer than 10 such postings are left blank — that means no data, not zero.

Remote work over time

Share of dbt postings offering fully remote work, per week.

Remote postings, %

The share is among postings that state a format (remote, hybrid, office). Weeks with fewer than 10 such postings are left blank.

Countries over time

How the share of dbt postings in each of the top countries changed, per week.

Postings in the country, %

Share among postings with a known country; the chart shows the five countries with the most postings over six months. Weeks with fewer than 20 postings with a known country are left blank. A rising share can mean a newly connected source in that country rather than market growth.

Demand and observed supply

Open demand2,290
Observed supply210

⚠ candidates matching a vacancy are not counted yet: demand and the observed pool are shown

Salary distribution

One in ten earns under $4,515, one in ten over $16,666. Half the market falls between $5,800 and $14,447. Sample: 228.

The range histogram for dbt postings uses only postings with an explicit compensation range; the median is computed over the same sample.

Demand geography

countryjobs
US661
PL283
GB132
IN127
DE121
CA74
FR48
ES35
RU33
BR31

The top country for dbt demand is the US (661 positions).

⚠ job counts only: salary by country is not published

Used together with

sql 1,250python 1,232cloud 1,231airflow 976snowflake 910aws 818bigquery 600databricks 588azure 528gcp 447fivetran 338llm 273

dbt most often appears next to SQL, Python and Airflow. Airflow and Snowflake alongside — dbt almost always runs inside orchestration and a cloud warehouse.

Roles that use it

rolejobs
Data1,228
Analytics Engineer533
ML/AI138
DevOps66
Architect48
Fullstack43
Product41
AI Engineer25
Backend15
Platform Engineer15

⚠ the `Other` and `IT` buckets are excluded as non-roles

Demand by grade

gradejobs
senior948
principal218
lead175
middle90
junior36

Senior-and-above is about 91% of 1 467 graded dbt postings.

⚠ demand side only: the grade of the observed pool is unknown for most of it

Employers

Demand is spread across 1,147 employers. The largest accounts for 5.9%, the top ten for 14.9%; the remaining 85.1% is long tail.

sharevalue
top-15.9%
top-39.3%
top-1014.9%
long tail85.1%

⚠ names are not shown: staffing agencies and end employers are not yet told apart by the classifier

Where Zorky sees this market

Observed across 90 sources; the largest accounts for 34.6% — this market does not rest on a single channel.

dbt postings arrive mostly from ATS & career sites and job boards & aggregators.

Recent openings

All jobs →

Adjacent markets

SQLPythonSnowflakeAWSBigQueryDatabricks

⚠ adjacent markets for comparison are not defined yet

How this is measured
Vacancy
an open job that cleared the quality gate and lists at least two technologies
Observed candidate
a candidate whose stack contains this technology; an aggregate — not a single record leaves the perimeter
Matchable candidate
not counted yet
Window
jobs open at the moment the snapshot was built

About the data

  • Some breakdowns are hidden: their data coverage is not yet sufficient.
  • Statistics are shown only where the sample clears a quality gate.
  • A missing block does not mean a value of zero.

Breakdowns currently hidden: 7.

Data as of 2026-10-24

Frequently asked questions

Common questions about the dbt market — short answers from the same data slice.

What is asked about dbt in interviews?

Models and materializations (view, table, incremental), ref and source, tests and docs, Jinja macros, snapshots, layer organization (staging, intermediate, marts) and CI for models.

Who needs dbt?

Analytics engineers — as the main tool; data engineers — for the transformation layer; advanced analysts — to maintain marts themselves.

How big is the dbt market?

The slice tracks 2 290 open dbt positions; demand grows as analytics moves to cloud warehouses.