dbt
A tool for defining data transformations as version-controlled SQL, with testing and documentation. The backbone of the analytics engineering role.
Hiring data as of September 20, 2026 · refreshed daily
- companies naming it
- 17 of 47companies naming it
- open roles naming it
- 37open roles naming it
- of those based in NYC
- 26of those based in NYC
- median posted base (n=20)
- $185kmedian posted base (n=20)
What dbt means
dbt lets a team write the transformations that turn raw warehouse tables into clean, modeled ones as SQL files under version control, with tests and lineage. It created the job title analytics engineer.
dbt in New York job posts
17 of the 47 New York AI companies we track name dbt in at least one open role today, across 37 postings. 26 of those are based in New York; the rest are remote or in the companies’ other offices.
This is engineering vocabulary: 62% of the postings that name it are Engineering roles.
How to read it
The most tightly clustered term in the glossary: companies that name dbt name SQL almost without exception, and usually a warehouse such as Snowflake or BigQuery. It describes data and analytics roles at AI companies rather than AI roles.
What these roles pay
Midpoints of 20 distinct salary ranges posted on New York roles that name dbt. Base salary only; on-target earnings are excluded, and a range repeated across one company’s postings counts once. For comparison, the median across all New York engineering postings is $215k. A term’s pay reflects the roles that name it as much as the skill itself — see the role mix below before reading a premium into it. Full bands by function and seniority are in the NYC salary calculator.
Companies naming dbt, daily
Count of companies with at least one open role naming the term. We read between 47 and 48 companies a day over this period, so a move of one or two is noise.
View as table
| Date | companies |
|---|---|
| 2026-08-17 | 16 |
| 2026-08-18 | 15 |
| 2026-08-19 | 15 |
| 2026-08-20 | 15 |
| 2026-08-21 | 15 |
| 2026-08-22 | 16 |
| 2026-08-23 | 16 |
| 2026-08-24 | 16 |
| 2026-08-25 | 17 |
| 2026-08-26 | 17 |
| 2026-08-27 | 17 |
| 2026-08-28 | 16 |
| 2026-08-29 | 16 |
| 2026-08-30 | 16 |
| 2026-08-31 | 16 |
| 2026-09-01 | 15 |
| 2026-09-02 | 15 |
| 2026-09-03 | 15 |
| 2026-09-04 | 16 |
| 2026-09-05 | 16 |
| 2026-09-06 | 16 |
| 2026-09-07 | 16 |
| 2026-09-08 | 16 |
| 2026-09-09 | 16 |
| 2026-09-10 | 17 |
| 2026-09-11 | 17 |
| 2026-09-12 | 17 |
| 2026-09-13 | 17 |
| 2026-09-14 | 17 |
| 2026-09-15 | 17 |
| 2026-09-16 | 17 |
| 2026-09-17 | 17 |
| 2026-09-18 | 17 |
| 2026-09-19 | 17 |
| 2026-09-20 | 17 |
Who names it
Open roles naming dbt, by company.
- Headway6
- Ramp5
- Clay4
- Alloy3
- ElevenLabs3
- EvolutionIQ2
- H12
- Optimal Dynamics2
- Rogo2
- EliseAI1
- Grow Therapy1
- K Health1
Also: Maven Clinic, Patlytics, Preql, SmarterDx, Spade.
Which roles
The same postings, by function and by seniority.
- Engineering23
- Research5
- Other4
- Operations2
- Product2
- GTM1
- Mid17
- Senior11
- Staff/Principal6
- Director2
- Manager1
Named alongside dbt
Terms that appear in the same postings far more often than chance would put them there. The number is how many of the 17 companies pair the two.
Open roles naming dbt
A sample from today’s data, New York roles first and one per company before any repeats. Links go to the employer’s own posting. For the full market, see AI jobs in NYC.
- Business Analyst ↗EvolutionIQ · New York, New York
- Data Engineer II- Life Sciences ↗H1 · New York
- Data Engineer: Analytics ↗Rogo · New York City
- Data Engineering Lead ↗Patlytics · New York
- Data Science & Analytics Manager ↗Clay · New York
- Data Scientist ↗Ramp · New York, NY (HQ)
- Director of Analytics ↗K Health · New York, NY
- GTM Engineer ↗Alloy · New York City, Remote
How this is counted
Every day we read the open roles on the public job boards of the New York AI companies in our coverage — the NYC AI 100 and the AI in NYC Show roster. This term is matched against each role’s description after removing the text a company repeats across its postings, so an “About us” paragraph cannot tag every role the company has open. A vendor’s own postings never count toward its own name.
The figure means named in a job posting. It does not mean used in production, and a “nice to have” counts the same as a requirement. Companies are the headline number because posting counts are dominated by whichever few employers are hiring hardest this month.
Full method, including the pay rules, is on the glossary index; the underlying series is the NYC AI Hiring Index.
dbt — common questions
What does dbt mean in an AI job posting?
A tool for defining data transformations as version-controlled SQL, with testing and documentation. The backbone of the analytics engineering role. The most tightly clustered term in the glossary: companies that name dbt name SQL almost without exception, and usually a warehouse such as Snowflake or BigQuery. It describes data and analytics roles at AI companies rather than AI roles.
How many New York AI companies are hiring for dbt?
As of September 20, 2026, 17 of the 47 New York AI companies we track name dbt in the description of at least one open role, across 37 postings (26 based in New York). The count refreshes daily from the companies’ own job boards.
What do roles that ask for dbt pay in New York?
Across 20 distinct posted salary ranges on New York roles naming dbt, the median midpoint is $185k base, with the middle half between $165k and $215k. The same figure for all New York engineering postings is $215k. These are employer-posted ranges required by New York’s pay transparency law, base salary only.
Which skills are asked for alongside dbt?
In the same postings, the terms most distinctively paired with dbt are Databricks, BigQuery, Snowflake, Apache Airflow, Data pipelines. We rank pairings by how much more often they appear together than apart, so near-universal terms such as Python do not crowd out the informative ones.
Need someone who has actually shipped this?
A keyword in a posting is easy to match and hard to verify. We match companies with AI engineers and consultancies vetted on production work, and tell you when the project needs a different skill than the one you named.
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