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Search Engineer Jobs in Michigan (NOW HIRING)

Experience with Glean (or similar enterprise AI search/assistant platforms) is a strong plus. What You'll Do: * Design and develop AI agents * Engineer and implement AI agents and workflows that ...

Experience with Glean (or similar enterprise AI search/assistant platforms) is a strong plus. What You'll Do: * Design and develop AI agents * Engineer and implement AI agents and workflows that ...

Design Engineer Location: Grand Rapids, MI The Design Engineer is responsible for the design ... Jeffries Search Group, which may include calls, texts, and emails. You have the option to ...

SQL and NoSQL databases (PostgreSQL, DynamoDB), Elasticsearch for search and analytics, and vector ... Engineering, Mathematics, or equivalent professional experience What Is Nice To Have * Experience ...

Sales Engineer Location: Grand Rapids, MI Position Summary The Sales Engineer is responsible for ... Jeffries Search Group, which may include calls, texts, and emails. You have the option to ...

Senior Engineer, AI

Novi, MI · On-site

$98K - $134K/yr

Engineer audio systems and integrated technology platforms that augment the driving experience ... Select and apply effective chunking, embedding, vector search, reranking, and routing approaches to ...

Deliver SEO-optimized experiences * Implement Server-Side Rendering (SSR) * Implement Static Site Generation (SSG) * Establish coding standards and engineering best practices * Conduct code reviews

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Search Engineer information

See Michigan salary details

$50

$61

$81

How much do search engineer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for search engineer in Michigan is $61.88, according to ZipRecruiter salary data. Most workers in this role earn between $53.41 and $71.25 per hour, depending on experience, location, and employer.

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 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 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 job categories do people searching Search Engineer jobs in Michigan look for? The top searched job categories for Search Engineer jobs in Michigan are:
What cities in Michigan are hiring for Search Engineer jobs? Cities in Michigan with the most Search Engineer job openings:
Infographic showing various Search Engineer job openings in Michigan as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $128,705 per year, or $61.9 per hour.
Data Engineer

Data Engineer

Tech Tammina LLC

Lansing, MI • On-site

$116K - $139K/yr

Contractor

Re-posted 28 days ago


Job description

Job Title: Data Engineer

Location: Lansing, MI (Need only locals, F2F is must)

Rate: Market

Duration: long term

Required Skills:

12+ years developing complex database systems.

8+ years Databricks.

8+ years using Elastic search, Kibanna.

8+ years using Python/Scala.

8+ years Oracle.

5+ years' experience with Extract, Transform, and Load (ETL) processes and developing Data Pipelines.

5+ years' experience with AWS.

5+ years' experience with data warehousing, data visualization Tools, data integrity.

5+ years using CMM/CMMI Level 3 methods and practices.

5+ years implemented agile development processes including test driven development.

Preferred Skills

3+ years' experience or Knowledge on creating CI/CD pipelines using Azure DevOps.