Elasticsearch jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-28, Elasticsearch appears in 2,461 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Elasticsearch, with demand down 48% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
2,461
Demand vs prior month
down 48% vs the prior 4 weeks
Top role · 41.5% of skill postings
Top hiring metro
Bengaluru

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Frequently asked questions about Elasticsearch

+Is Elasticsearch in demand in 2026?

Yes. Elasticsearch appears in 2,461 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 48% vs the prior 4 weeks. Software Engineer accounts for the most postings mentioning Elasticsearch (41.5% of all postings mentioning Elasticsearch).

+What jobs require Elasticsearch?

According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning Elasticsearch are Computer Scientist (20.0% of that role’s postings mention Elasticsearch), AI Engineering Intern (19.2% of that role’s postings mention Elasticsearch), AI Enablement Engineer (18.5% of that role’s postings mention Elasticsearch).

+What skills are commonly paired with Elasticsearch?

Across job postings indexed by Skillenai (90 days ending 2026-09-28), Elasticsearch most often appears alongside Python, Kubernetes, Java, AWS, Docker.

+Where is Elasticsearch most in demand?

As of 2026-09-28, the metro areas posting the most jobs requiring Elasticsearch are Bengaluru, San Francisco, New York City, Annapolis, Toronto, according to the Skillenai jobs index.

+How can I keep up with new Elasticsearch content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning Elasticsearch alongside the jobs index. You can subscribe to a daily email digest of new Elasticsearch content from your Skillenai account.

Weekly job postings requiring Elasticsearch — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Roles most likely to require Elasticsearch

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Computer Scientist520.0%
AI Engineering Intern519.2%
AI Enablement Engineer1018.5%
Database Reliability Engineer513.5%
Site Reliability Engineer (SRE)1411.1%
Back-End Developer210.0%
Enterprise Solutions Architect210.0%
Ruby on Rails Developer210.0%
Distributed Systems Engineer69.0%
React Native Engineer28.3%

Roles with the most Elasticsearch postings

RolePostings mentioning skillShare of skill postings
Software Engineer1,02241.5%
Backend Engineer1897.7%
DevOps Engineer953.9%
Data Engineer642.6%
Site Reliability Engineer562.3%
Engineering Manager542.2%
Backend Software Engineer371.5%
Platform Engineer281.1%
Data Scientist271.1%
AI Engineer241.0%

Top metros hiring for Elasticsearch

NamePostingsShare
Bengaluru783.2%
San Francisco642.6%
New York City592.4%
Annapolis512.1%
Toronto502.0%
Tel Aviv451.8%
Paris361.5%
Berlin351.4%
Greece281.1%

Skills commonly paired with Elasticsearch

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning Elasticsearch by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Elasticsearch postings by all Elasticsearch postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills).

source
Skillenai jobs index, deduplicated daily
entity_id
7bdaab175ac07893
data_as_of
2026-09-28
window_days
90
Hiring engineers who use Elasticsearch?

The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.

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Compiled by Jared Rand · Data sourced from the Skillenai labor market index