AI in NYCAI in NYC
Menu

AI skills glossary · Data platform

Snowflake

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

Hiring data as of November 14, 2026, refreshed daily. All terms in the AI skills glossary

companies naming it
17 of 47companies naming it
open roles naming it
39open roles naming it
of those based in NYC
29of those based in NYC
median posted base (n=25)
$210kmedian posted base (n=25)

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 39 postings. 29 of those are based in New York; the rest are remote or in the companies’ other offices.

This is engineering vocabulary: 82% 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

$190k25th percentile
$210kMedian
$255k75th percentile

Midpoints of 25 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 46 and 48 companies a day over this period, so a move of one or two is noise.

012.52517Aug 17Nov 14Aug 17: 18 companiesAug 18: 17 companiesAug 19: 17 companiesAug 20: 17 companiesAug 21: 17 companiesAug 22: 17 companiesAug 23: 17 companiesAug 24: 17 companiesAug 25: 17 companiesAug 26: 17 companiesAug 27: 16 companiesAug 28: 17 companiesAug 29: 17 companiesAug 30: 17 companiesAug 31: 17 companiesSep 1: 17 companiesSep 2: 17 companiesSep 3: 17 companiesSep 4: 17 companiesSep 5: 17 companiesSep 6: 17 companiesSep 7: 17 companiesSep 8: 17 companiesSep 9: 17 companiesSep 10: 16 companiesSep 11: 16 companiesSep 12: 16 companiesSep 13: 16 companiesSep 14: 16 companiesSep 15: 16 companiesSep 16: 16 companiesSep 17: 16 companiesSep 18: 17 companiesSep 19: 17 companiesSep 20: 17 companiesSep 21: 16 companiesSep 22: 16 companiesSep 23: 16 companiesSep 24: 16 companiesSep 25: 15 companiesSep 26: 15 companiesSep 27: 15 companiesSep 28: 16 companiesSep 29: 16 companiesSep 30: 16 companiesOct 1: 17 companiesOct 2: 17 companiesOct 3: 17 companiesOct 4: 17 companiesOct 5: 17 companiesOct 6: 18 companiesOct 7: 18 companiesOct 8: 17 companiesOct 9: 17 companiesOct 10: 17 companiesOct 11: 17 companiesOct 12: 17 companiesOct 13: 17 companiesOct 14: 17 companiesOct 15: 17 companiesOct 16: 17 companiesOct 17: 17 companiesOct 18: 17 companiesOct 19: 17 companiesOct 20: 17 companiesOct 21: 17 companiesOct 22: 17 companiesOct 23: 18 companiesOct 24: 18 companiesOct 25: 18 companiesOct 26: 18 companiesOct 27: 18 companiesOct 28: 18 companiesOct 29: 18 companiesOct 30: 17 companiesOct 31: 17 companiesNov 1: 17 companiesNov 2: 17 companiesNov 3: 18 companiesNov 4: 18 companiesNov 5: 18 companiesNov 6: 17 companiesNov 7: 17 companiesNov 8: 17 companiesNov 9: 17 companiesNov 10: 17 companiesNov 11: 17 companiesNov 12: 17 companiesNov 13: 17 companiesNov 14: 17 companies
View as table
Datecompanies
2026-08-1718
2026-08-1817
2026-08-1917
2026-08-2017
2026-08-2117
2026-08-2217
2026-08-2317
2026-08-2417
2026-08-2517
2026-08-2617
2026-08-2716
2026-08-2817
2026-08-2917
2026-08-3017
2026-08-3117
2026-09-0117
2026-09-0217
2026-09-0317
2026-09-0417
2026-09-0517
2026-09-0617
2026-09-0717
2026-09-0817
2026-09-0917
2026-09-1016
2026-09-1116
2026-09-1216
2026-09-1316
2026-09-1416
2026-09-1516
2026-09-1616
2026-09-1716
2026-09-1817
2026-09-1917
2026-09-2017
2026-09-2116
2026-09-2216
2026-09-2316
2026-09-2416
2026-09-2515
2026-09-2615
2026-09-2715
2026-09-2816
2026-09-2916
2026-09-3016
2026-10-0117
2026-10-0217
2026-10-0317
2026-10-0417
2026-10-0517
2026-10-0618
2026-10-0718
2026-10-0817
2026-10-0917
2026-10-1017
2026-10-1117
2026-10-1217
2026-10-1317
2026-10-1417
2026-10-1517
2026-10-1617
2026-10-1717
2026-10-1817
2026-10-1917
2026-10-2017
2026-10-2117
2026-10-2217
2026-10-2318
2026-10-2418
2026-10-2518
2026-10-2618
2026-10-2718
2026-10-2818
2026-10-2918
2026-10-3017
2026-10-3117
2026-11-0117
2026-11-0217
2026-11-0318
2026-11-0418
2026-11-0518
2026-11-0617
2026-11-0717
2026-11-0817
2026-11-0917
2026-11-1017
2026-11-1117
2026-11-1217
2026-11-1317
2026-11-1417

Who names it

Open roles naming Snowflake, by company.

Also: Hyperscience, Patlytics, Preql, Sixfold, Tennr.

Which roles

The same postings, by function and by seniority.

  • Engineering32
  • Research5
  • GTM1
  • Other1
  • Mid18
  • Senior14
  • Staff/Principal3
  • Manager2
  • Director1
  • Entry1

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.

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 November 14, 2026, 17 of the 47 New York AI companies we track name Snowflake in the description of at least one open role, across 39 postings (29 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 25 distinct posted salary ranges on New York roles naming Snowflake, the median midpoint is $210k base, with the middle half between $190k and $255k. 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 dbt, BigQuery, Data pipelines, SQL, Anthropic. 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.

Related