Neuronify

Elasticsearch (OpenSearch)

A distributed search engine for keyword, and now vector, search. The most-named retrieval technology in New York AI postings.

Hiring data as of September 20, 2026 · refreshed daily

companies naming it
9 of 47companies naming it
open roles naming it
31open roles naming it
of those based in NYC
20of those based in NYC
median posted base (n=11)
$224kmedian posted base (n=11)

What Elasticsearch means

Elasticsearch indexes documents for fast full-text search and analytics; OpenSearch is the open-source fork maintained by AWS, and we count both. Both now support vector search, which lets teams add semantic retrieval to infrastructure they already run.

Elasticsearch in New York job posts

9 of the 47 New York AI companies we track name Elasticsearch in at least one open role today, across 31 postings. 20 of those are based in New York; the rest are remote or in the companies’ other offices.

This is engineering vocabulary: 77% of the postings that name it are Engineering roles.

How to read it

As of September 2026 it is named by more companies in our data than any dedicated vector database. That is a useful corrective to the assumption that RAG means adopting a new datastore: many teams extend the search stack they already have. Search engineering experience is directly relevant to retrieval work.

What these roles pay

$188k25th percentile
$224kMedian
$250k75th percentile

Midpoints of 11 distinct salary ranges posted on New York roles that name Elasticsearch. 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 Elasticsearch, 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.

07.5159Aug 17Sep 20Aug 17: 10 companiesAug 18: 10 companiesAug 19: 10 companiesAug 20: 10 companiesAug 21: 10 companiesAug 22: 10 companiesAug 23: 10 companiesAug 24: 10 companiesAug 25: 10 companiesAug 26: 10 companiesAug 27: 10 companiesAug 28: 10 companiesAug 29: 10 companiesAug 30: 10 companiesAug 31: 10 companiesSep 1: 10 companiesSep 2: 10 companiesSep 3: 10 companiesSep 4: 10 companiesSep 5: 10 companiesSep 6: 10 companiesSep 7: 9 companiesSep 8: 9 companiesSep 9: 8 companiesSep 10: 8 companiesSep 11: 8 companiesSep 12: 8 companiesSep 13: 8 companiesSep 14: 8 companiesSep 15: 9 companiesSep 16: 9 companiesSep 17: 9 companiesSep 18: 9 companiesSep 19: 9 companiesSep 20: 9 companies
View as table
Datecompanies
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2026-08-2010
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2026-09-0110
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2026-09-0610
2026-09-079
2026-09-089
2026-09-098
2026-09-108
2026-09-118
2026-09-128
2026-09-138
2026-09-148
2026-09-159
2026-09-169
2026-09-179
2026-09-189
2026-09-199
2026-09-209

Who names it

Open roles naming Elasticsearch, by company.

Which roles

The same postings, by function and by seniority.

  • Engineering24
  • GTM5
  • Research2
  • Mid18
  • Staff/Principal7
  • Senior4
  • Leadership1
  • Manager1

Named alongside Elasticsearch

Terms that appear in the same postings far more often than chance would put them there. The number is how many of the 9 companies pair the two.

Open roles naming Elasticsearch

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.

Elasticsearch — common questions

What does Elasticsearch mean in an AI job posting?

A distributed search engine for keyword, and now vector, search. The most-named retrieval technology in New York AI postings. As of September 2026 it is named by more companies in our data than any dedicated vector database. That is a useful corrective to the assumption that RAG means adopting a new datastore: many teams extend the search stack they already have. Search engineering experience is directly relevant to retrieval work.

How many New York AI companies are hiring for Elasticsearch?

As of September 20, 2026, 9 of the 47 New York AI companies we track name Elasticsearch in the description of at least one open role, across 31 postings (20 based in New York). The count refreshes daily from the companies’ own job boards.

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

Across 11 distinct posted salary ranges on New York roles naming Elasticsearch, the median midpoint is $224k base, with the middle half between $188k and $250k. 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 Elasticsearch?

In the same postings, the terms most distinctively paired with Elasticsearch are Vector search, Apache Kafka, Java, RAG, TypeScript. 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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