Snowflake

A cloud data warehouse. In AI company postings it marks the analytics and data-platform side of the house.

Hiring data as of September 20, 2026 · refreshed daily

companies naming it: 17 of 47companies naming it
open roles naming it: 47open roles naming it
of those based in NYC: 30of those based in NYC
median posted base (n=24): $222kmedian posted base (n=24)

What Snowflake means

Snowflake is a managed cloud data warehouse that separates storage from compute and is queried with SQL. It is where many companies keep the business data that analytics, reporting, and increasingly AI features draw on. Snowflake’s own postings are excluded from this count.

Snowflake in New York job posts

17 of the 47 New York AI companies we track name Snowflake in at least one open role today, across 47 postings. 30 of those are based in New York; the rest are remote or in the companies’ other offices.

This is engineering vocabulary: 72% of the postings that name it are Engineering roles.

How to read it

Travels with dbt and SQL, in data engineering, analytics engineering, and revenue-operations roles. It says little about a company’s AI stack and a lot about how its internal data is organized.

What these roles pay

$181k25th percentile

$222kMedian

$246k75th percentile

Midpoints of 24 distinct salary ranges posted on New York roles that name Snowflake. 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 Snowflake, 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	18
2026-08-18	17
2026-08-19	17
2026-08-20	17
2026-08-21	17
2026-08-22	17
2026-08-23	17
2026-08-24	17
2026-08-25	17
2026-08-26	17
2026-08-27	16
2026-08-28	17
2026-08-29	17
2026-08-30	17
2026-08-31	17
2026-09-01	17
2026-09-02	17
2026-09-03	17
2026-09-04	17
2026-09-05	17
2026-09-06	17
2026-09-07	17
2026-09-08	17
2026-09-09	17
2026-09-10	16
2026-09-11	16
2026-09-12	16
2026-09-13	16
2026-09-14	16
2026-09-15	16
2026-09-16	16
2026-09-17	16
2026-09-18	17
2026-09-19	17
2026-09-20	17

Who names it

Open roles naming Snowflake, by company.

Headway9
Ramp9
AlphaSense4
Clay4
SmarterDx4
Hebbia3
Rogo3
Alloy2
Attentive1
ElevenLabs1
EliseAI1
Grow Therapy1

Also: Invisible Technologies, Modal, Patlytics, Preql, Tabs.

Which roles

The same postings, by function and by seniority.

Engineering34
GTM6
Research3
Other2
Operations1
Product1

Mid19
Senior16
Staff/Principal9
Manager3

Named alongside Snowflake

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 Snowflake

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.

Backend Engineer, Growth and Data ↗Hebbia · NYC
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)
Forward Deployed Engineer ↗Tabs · New York City, NY
Member of Technical Staff - Product (Growth) ↗Modal · New York
Senior Analytics Engineer ↗Alloy · New York City

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.

Snowflake — common questions

What does Snowflake mean in an AI job posting?

A cloud data warehouse. In AI company postings it marks the analytics and data-platform side of the house. Travels with dbt and SQL, in data engineering, analytics engineering, and revenue-operations roles. It says little about a company’s AI stack and a lot about how its internal data is organized.

How many New York AI companies are hiring for Snowflake?

As of September 20, 2026, 17 of the 47 New York AI companies we track name Snowflake in the description of at least one open role, across 47 postings (30 based in New York). The count refreshes daily from the companies’ own job boards.

What do roles that ask for Snowflake pay in New York?

Across 24 distinct posted salary ranges on New York roles naming Snowflake, the median midpoint is $222k base, with the middle half between $181k and $246k. 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 Snowflake?

In the same postings, the terms most distinctively paired with Snowflake are BigQuery, dbt, Apache Airflow, Data pipelines, SQL. 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.

Start a project brief Join the expert network