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Enterprise Search Engineer Jobs (NOW HIRING)

3M

Enterprise Search Tech Lead

Austin, TX · On-site +1

Enterprise Search Tech Lead Collaborate with Innovative 3Mers Around the World Choosing where to ... Mentoring and leading developers on the search engineering team, conducting code reviews, and ...

3M

Enterprise Search Tech Lead

Maplewood, MN · On-site +1

Enterprise Search Tech Lead Collaborate with Innovative 3Mers Around the World Choosing where to ... Mentoring and leading developers on the search engineering team, conducting code reviews, and ...

PB consulting

Seeking a Senior Coveo Developer with strong experience in the Coveo Platform and Coveo Headless to develop, integrate, and optimize enterprise search solutions. The role focuses on search relevance ...

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How much do enterprise search engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for enterprise search engineer in the United States is $116,935.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,000.00 and $133,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Enterprise Search 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, 5% Hybrid, and 10% Remote job distribution, with an average salary of $116,935 per year, or $56.2 per hour.

Elastic Search Engineer

Remote

Texas State Library and Archives Commision
Libraries and Archives • 201 - 500 employees
Learn more about Texas State Library and Archives Commisionexternal

Full-time

Re-posted 16 days ago

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.

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