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Search Engineer Jobs (NOW HIRING)

Leidos is seeking a Search Engineer to support, enhance, and modernize our enterprise search platform for a Federal customer. This role is responsible for both software development and operations ...

Diverse Lynx LLC is an Equal Employment Opportunity employer seeking a Search Engineer. The role requires extensive software development experience and strong hands-on skills with Apache Solr or ...

Search Engineer (Software Engineer III) Must be Authorized to work in the U.S. without sponsorship. ABOUT THE ROLE We're building intelligent product search that understands intent, learns from ...

As a Staff Search Engineer, you will play a key role in defining and evolving our retrieval architecture, shaping how we index, store, and surface data across billions of legal documents. You will ...

Elastic search Engineer Duration : 6+ months Location : Remote Working Hours : 7hours per day Scope : deploy/update/manage/maintain all elasticsearch environments and automation, write code to ingest ...

Senior Search Engineer

San Francisco, CA · On-site +1

$123K - $169K/yr

About the Role As a Search Engineer at You.com, you will blend deep analytical thinking with practical engineering skills to investigate, develop, and implement novel solutions for our search ...

Search Engineer Location: Sunnyvale, CA/ Austin, TX (Onsite) 7+ years of software development experience using Java Strong hands-on experience with Apache Solr or Elasticsearch/OpenSearch at scale ...

Search Engineer (Software Engineer III) You must be eligible to work in the US without Visa Sponsorship. ABOUT THE ROLE We're building intelligent product search that understands intent, learns from ...

Senior Search Engineer

San Francisco, CA · On-site +1

$190K - $260K/yr

About the Role As a Search Engineer at You.com, you will blend deep analytical thinking with practical engineering skills to investigate, develop, and implement novel solutions for our search ...

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Search Engineer information

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How much do search engineer jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for search engineer in the United States is $70.99, according to ZipRecruiter salary data. Most workers in this role earn between $61.30 and $81.73 per hour, depending on experience, location, and employer.

What is the search engineer role?

A search engineer designs, develops, and maintains search engine systems and algorithms to improve search accuracy and performance. They often work with data structures, indexing, and information retrieval techniques, and may use tools like Elasticsearch or Solr. Strong programming skills and understanding of machine learning are typically required.

How does a Search Engineer typically collaborate with other teams to improve search functionality?

Search Engineers often work closely with product managers, data scientists, and UX designers to understand user needs and analyze search performance. They collaborate with data engineering teams to ensure high-quality and well-structured data feeds, and frequently participate in cross-functional meetings to align on feature priorities and technical requirements. Effective communication skills are essential, as Search Engineers must translate complex technical concepts into actionable insights for non-technical stakeholders, ensuring that improvements enhance both search accuracy and overall user experience.

What is the difference between Search Engineer vs Data Scientist?

AspectSearch EngineerData Scientist
Required CredentialsBachelor's in CS, EE, or related; experience in search algorithmsBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentTech companies, search engine teams, e-commerce platformsResearch labs, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in search technology, e-commerce, and online servicesAcross industries like tech, finance, healthcare, and research

Search Engineers focus on developing and optimizing search algorithms and systems, while Data Scientists analyze data to extract insights and inform decisions. Both roles require strong technical skills, but Search Engineers are more specialized in search technology development, whereas Data Scientists work broadly with data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Search Engineer, and why are they important?

To thrive as a Search Engineer, you need a solid background in computer science, expertise in information retrieval, and strong programming skills, often supported by a relevant degree. Familiarity with search platforms like Elasticsearch or Solr, experience with large-scale distributed systems, and knowledge of ranking algorithms are typically required. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills are crucial for building efficient, relevant search experiences that meet both user and business needs.

What job makes $10,000 a month without a degree?

A Search Engineer can potentially earn $10,000 or more per month through specialized skills in search algorithms, data analysis, and programming, often in tech companies or startups. Success typically requires strong technical expertise, experience, and sometimes certifications, but a formal degree is not always mandatory if skills are demonstrated effectively.

What are Search Engineers?

Search Engineers are specialized software engineers who design, build, and improve search systems that help users find relevant information quickly and efficiently. Their work often involves developing algorithms for indexing, querying, and ranking large volumes of data, as well as optimizing search accuracy and speed. Search Engineers may also work with natural language processing, machine learning, and relevance tuning to enhance the user search experience on websites, apps, or internal databases.

What engineers make $300,000 a year?

Senior software engineers, especially those with expertise in areas like machine learning, cloud computing, or cybersecurity, can earn $300,000 or more annually, often including bonuses and stock options. High-level roles in tech companies, such as staff or principal engineers, typically require extensive experience, advanced skills, and sometimes certifications or specialized knowledge. Compensation varies based on location, company size, and individual performance.

What engineers make $500,000?

Senior software engineers, especially those working in high-demand fields like machine learning, cloud computing, or at major tech companies, can earn $500,000 or more annually. Achieving this level often requires extensive experience, advanced skills, and sometimes stock options or bonuses as part of compensation packages.

What Does a Search Engineer Do?

A search engineer has two primary responsibilities: to develop and program search engines and to optimize web content to achieve the best possible rankings in search results. As a search engineer, your job duties depend on your employer. If you work for a search engine company, like Google or Bing, then your job is to create the web application and algorithms that index websites and web pages to aggregate and rank search results. If you work for an e-commerce website or another business reliant on products or services, then your focus is on website analysis, keyword research, and content marketing.

What cities are hiring for Search Engineer jobs? Cities with the most Search Engineer job openings:
What states have the most Search Engineer jobs? States with the most job openings for Search Engineer jobs include:
Infographic showing various Search Engineer job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $147,666 per year, or $71 per hour.

Full-time

Posted 13 days ago


Job description

Position: Search Engineer
Location: Sunnyvale, CA (Onsite)
Job Description
  • Tech stack: Java, Apache Solr -> OpenSearch (Lucene)
  • Senior Engineer with strong hands-on experience running Apache Solr or ElasticSearch / OpenSearch at scale (> 1B+ documents)
  • Solid understanding of distributed systems internals such as sharding and coordination, along with experience in performance tuning.
  • To assist redesigning the document search index to improve search latencies