Dagster
A newer data orchestrator built around the data assets a pipeline produces rather than the tasks it runs.
Hiring data as of November 4, 2026 · refreshed daily
- companies naming it
- 5 of 47companies naming it
- open roles naming it
- 7open roles naming it
- of those based in NYC
- 5of those based in NYC
- pay: under 8 posted ranges
- —pay: under 8 posted ranges
What Dagster means
Dagster is an orchestration framework that models pipelines as the tables, files, and models they produce, with typing, testing, and lineage built in. Younger data teams often choose it over Airflow.
Dagster in New York job posts
5 of the 47 New York AI companies we track name Dagster in at least one open role today, across 7 postings. 5 of those are based in New York; the rest are remote or in the companies’ other offices.
Engineering roles make up 57% of the postings that name it, with the rest spread across other functions.
Clay alone accounts for 3 of the 7 postings, which is why we lead with the company count: one employer’s hiring push should not read as a market trend.
How to read it
Its presence in a posting suggests a data platform built recently. It is named alongside Airflow more often than instead of it.
What these roles pay
Not enough data to publish. We need at least eight distinct posted salary ranges on New York roles naming Dagster before showing a median, and today there are fewer. For posted pay by function and seniority across the whole market, use the NYC salary calculator or the NYC AI engineer salary guide.
Companies naming Dagster, daily
Count of companies with at least one open role naming the term. We read between 46 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 | 7 |
| 2026-08-18 | 6 |
| 2026-08-19 | 6 |
| 2026-08-20 | 6 |
| 2026-08-21 | 6 |
| 2026-08-22 | 6 |
| 2026-08-23 | 6 |
| 2026-08-24 | 6 |
| 2026-08-25 | 6 |
| 2026-08-26 | 6 |
| 2026-08-27 | 6 |
| 2026-08-28 | 5 |
| 2026-08-29 | 5 |
| 2026-08-30 | 5 |
| 2026-08-31 | 5 |
| 2026-09-01 | 5 |
| 2026-09-02 | 5 |
| 2026-09-03 | 5 |
| 2026-09-04 | 5 |
| 2026-09-05 | 5 |
| 2026-09-06 | 5 |
| 2026-09-07 | 5 |
| 2026-09-08 | 5 |
| 2026-09-09 | 5 |
| 2026-09-10 | 5 |
| 2026-09-11 | 5 |
| 2026-09-12 | 5 |
| 2026-09-13 | 5 |
| 2026-09-14 | 5 |
| 2026-09-15 | 5 |
| 2026-09-16 | 5 |
| 2026-09-17 | 5 |
| 2026-09-18 | 5 |
| 2026-09-19 | 5 |
| 2026-09-20 | 5 |
| 2026-09-21 | 5 |
| 2026-09-22 | 5 |
| 2026-09-23 | 5 |
| 2026-09-24 | 5 |
| 2026-09-25 | 4 |
| 2026-09-26 | 4 |
| 2026-09-27 | 4 |
| 2026-09-28 | 4 |
| 2026-09-29 | 4 |
| 2026-09-30 | 4 |
| 2026-10-01 | 4 |
| 2026-10-02 | 4 |
| 2026-10-03 | 4 |
| 2026-10-04 | 4 |
| 2026-10-05 | 4 |
| 2026-10-06 | 4 |
| 2026-10-07 | 4 |
| 2026-10-08 | 3 |
| 2026-10-09 | 3 |
| 2026-10-10 | 3 |
| 2026-10-11 | 3 |
| 2026-10-12 | 3 |
| 2026-10-13 | 3 |
| 2026-10-14 | 3 |
| 2026-10-15 | 3 |
| 2026-10-16 | 3 |
| 2026-10-17 | 4 |
| 2026-10-18 | 4 |
| 2026-10-19 | 4 |
| 2026-10-20 | 4 |
| 2026-10-21 | 4 |
| 2026-10-22 | 4 |
| 2026-10-23 | 4 |
| 2026-10-24 | 4 |
| 2026-10-25 | 4 |
| 2026-10-26 | 4 |
| 2026-10-27 | 4 |
| 2026-10-28 | 4 |
| 2026-10-29 | 4 |
| 2026-10-30 | 4 |
| 2026-10-31 | 5 |
| 2026-11-01 | 5 |
| 2026-11-02 | 5 |
| 2026-11-03 | 5 |
| 2026-11-04 | 5 |
Who names it
Open roles naming Dagster, by company.
- Clay3
- EvolutionIQ1
- Optimal Dynamics1
- Ramp1
- Reality Defender1
Which roles
The same postings, by function and by seniority.
- Engineering4
- Research2
- Other1
- Mid2
- Manager1
- Senior1
- Leadership1
- Entry1
- Staff/Principal1
Named alongside Dagster
Terms that appear in the same postings far more often than chance would put them there. The number is how many of the 5 companies pair the two.
Open roles naming Dagster
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.
- Applied Scientist Intern ↗Ramp · New York, NY (HQ)
- Data Science & Analytics Manager ↗Clay · New York
- Senior Machine Learning (ML) Engineer (AI Insurtech) ↗EvolutionIQ · New York, NY or Remote
- Staff Data Platform Engineer ↗Reality Defender · New York City
- VP of Engineering ↗Optimal Dynamics · Remote
- Software Engineer, Backend (Infrastructure & Platform) ↗Clay · New York
- Data Scientist ↗Clay · San Francisco
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.
Dagster — common questions
What does Dagster mean in an AI job posting?
A newer data orchestrator built around the data assets a pipeline produces rather than the tasks it runs. Its presence in a posting suggests a data platform built recently. It is named alongside Airflow more often than instead of it.
How many New York AI companies are hiring for Dagster?
As of November 4, 2026, 5 of the 47 New York AI companies we track name Dagster in the description of at least one open role, across 7 postings (5 based in New York). The count refreshes daily from the companies’ own job boards.
What do roles that ask for Dagster pay in New York?
We do not publish a pay figure for Dagster yet. Fewer than eight New York postings naming it carry a distinct posted salary range, and below that number a median says more about two or three employers than about the market.
Which skills are asked for alongside Dagster?
In the same postings, the terms most distinctively paired with Dagster are BigQuery, Apache Airflow, Snowflake, dbt, PyTorch. 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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