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Remote Elastic Engineer Jobs (NOW HIRING)

Elastic Administrator, Remote. Start date is ASAP for this 6 month contract position. Job Title ... On-premises platform engineering experience, not limited to cloud-only environments Preferred ...

I have an opportunity for "ElasticSearch Engineer" _ REMOTE " and I am looking for a candidate who ... Position : Elastic search Engineer Duration : 6+ months Location : Remote Working Hours : 7hours ...

$114K - $172K/yr

The Elastic Observability Engineer is an important member of our Cloud Operations team, building a ... You may be just the right person for this or other roles. #LI-MG4 #LI-Remote #LifeAtROK We are an ...

$114K - $172K/yr

The Elastic Observability Engineer is an important member of our Cloud Operations team, building a ... You may be just the right person for this or other roles. #LI-MG4 #LI-Remote #LifeAtROK We are an ...

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Remote Elastic Engineer information

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$38K

$115.9K

$191.5K

How much do remote elastic engineer jobs pay per year?

As of Aug 26, 2026, the average yearly pay for remote elastic engineer in the United States is $115,864.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,000.00 and $151,500.00 per year, depending on experience, location, and employer.

What is the difference between Remote Elastic Engineer vs Remote Data Engineer?

AspectRemote Elastic EngineerRemote Data Engineer
Required CredentialsBachelor's in CS, experience with Elasticsearch, cloud platformsBachelor's in CS or related, experience with data pipelines, SQL, cloud platforms
Work EnvironmentCollaborates with DevOps, backend teams, cloud infrastructureWorks with data teams, analytics, database systems
Industry UsageTech, e-commerce, SaaS companies using ElasticsearchFinance, healthcare, tech firms managing large datasets

Remote Elastic Engineers focus on implementing and maintaining Elasticsearch clusters for search and analytics, while Remote Data Engineers build and manage data pipelines and storage solutions. Both roles require cloud experience and technical skills but differ in their core focus areas within data and search infrastructure.

More about Remote Elastic Engineer jobs

What cities are hiring for Remote Elastic Engineer jobs?

Cities with the most Remote Elastic Engineer job openings:

What are the most commonly searched types of Elastic Engineer jobs?

The most popular types of Elastic Engineer jobs are:

What states have the most Remote Elastic Engineer jobs?

States with the most job openings for Remote Elastic Engineer jobs include:

What job categories do people searching Remote Elastic Engineer jobs look for?

The top searched job categories for Remote Elastic Engineer jobs are:

Infographic showing various Remote Elastic Engineer job openings in the United States as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $115,864 per year, or $55.7 per hour.

Full-time

This job post has expired 3 days ago. Applications are no longer accepted.


Job description

JOB TITLE: Elastic search Engineer
JOB TYPE: Full Time
JOB LOCATION: Remote
JOB DESCRIPTION:
Ø Bachelor's degree in computer science engineering or a related discipline, or equivalent work experience is required
Ø Strong 5+ Years' experience in implementing search solutions at enterprise level with the technologies such as Elastic Search, Lucid works Fusion/Solr, MindBreeze, Bing, SOLR, Apache Lucene
Ø 5+ years developing or architecting with Elasticsearch in an Enterprise Search environment.
Ø 5+ years of development experience in crawling data sources, architecting new data ingestion pipeline, optimized query pipeline, adding new objects into search index
Ø Hands-on experience and deep understanding of Elasticsearch
Ø Strong development experience in building fastest data search method for large volume data
Ø Strong development experience in Large Language Models.
Ø Experience in Google Generative AI is an added advantage
Ø Practical knowledge and application of machine learning and deep learning techniques
Ø Review search strategies, make recommendations, design, and implement solutions.
Ø Troubleshoot search and relevancy discrepancies.
Ø Development of Chat bots & Voice bots using AI & NLP for L1 Operations & LOBs.
Ø Working independently to contribute to a large team delivering Search, AI & ML solutions to meet the needs of executive management as well as the general employee population.
Coordination with Offshore engineers & leads.