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Elasticsearch Engineer Jobs in Michigan (NOW HIRING)

Trilyon, Inc.

Sr. Data Engineer - Lansing, MI

Lansing, MI · On-site

$116K - $139K/yr

We partner with top companies to deliver high-quality talent in engineering, IT, and emerging ... Implement and manage Elasticsearch and Kibana for data indexing, search, and visualization * Ensure ...

Harris

Software Engineer

Wyoming, MI

$80K - $90K/yr

Experience with search and indexing technologies such as Elasticsearch. - Experience in React, Next ... GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for ...

Harris

Software Engineer

Three Rivers, MI · On-site

$80K - $90K/yr

Experience with search and indexing technologies such as Elasticsearch. - Experience in React, Next ... GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for ...

FastTek

Software Engineer

Dearborn, MI · On-site

GCP, GCP Cloud Run, Java, Python, Microservices, Elasticsearch, MongoDB, Cloud Architecture, Cloud Infrastructure, Cloud Computing, React Skills Preferred: * C++, Java Experience Required: * Engineer ...

CSAA

Software Engineer II - Remote

Three Rivers, MI · On-site

Job Title Software Engineer II - Remote Requisition Number R7726 Software Engineer II - Remote ... Kubernetes, OpenShift, ElasticSearch, DynamoDB, MongoDB * AWS build tools, including Jenkins ...

CSAA

Job Title Software Engineer II - Remote Requisition Number R7726 Software Engineer II - Remote ... Kubernetes, OpenShift, ElasticSearch, DynamoDB, MongoDB * AWS build tools, including Jenkins ...

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Elasticsearch Engineer information

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How much do elasticsearch engineer jobs pay per hour?

As of Jul 30, 2026, the average hourly pay for elasticsearch engineer in Michigan is $58.69, according to ZipRecruiter salary data. Most workers in this role earn between $48.34 and $69.45 per hour, depending on experience, location, and employer.

What is an Elasticsearch Engineer job?

An Elasticsearch Engineer is responsible for designing, implementing, and managing search and analytics solutions using Elasticsearch. They optimize search performance, ensure data indexing efficiency, and maintain cluster health and scalability. Additionally, they integrate Elasticsearch with various applications, troubleshoot issues, and enhance system security. Their role often involves working with data processing pipelines, query optimization, and infrastructure management.

What are the key skills and qualifications needed to thrive in the Elasticsearch Engineer position, and why are they important?

To thrive as an Elasticsearch Engineer, you need strong programming skills (particularly in Java, Python, or similar languages), in-depth knowledge of search algorithms and data indexing, and experience managing distributed systems. Familiarity with Elasticsearch, Kibana, Logstash (the ELK stack), cloud infrastructure (such as AWS or GCP), and relevant certifications like Elastic Certified Engineer are often required. Analytical problem-solving, attention to detail, and effective communication are key soft skills for success in this role. These abilities are crucial to design, implement, and optimize robust search solutions that efficiently meet business and user needs.

What does a typical day look like for an Elasticsearch Engineer?

A typical day for an Elasticsearch Engineer often involves designing and optimizing search architectures, developing custom queries or plugins, and ensuring the performance, security, and reliability of Elasticsearch clusters. You'll regularly collaborate with development teams to integrate Elasticsearch with various applications and may also monitor metrics, troubleshoot issues, and make improvements based on system usage data. Participation in code reviews and technical discussions is common, along with continuous learning to stay updated on new features and best practices. This hands-on and collaborative work environment helps ensure that large amounts of data are searchable and accessible to both technical and non-technical stakeholders.

What are the most commonly searched types of Elasticsearch Engineer jobs in Michigan? The most popular types of Elasticsearch Engineer jobs in Michigan are:
What are popular job titles related to Elasticsearch Engineer jobs in Michigan? For Elasticsearch Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Elasticsearch Engineer jobs in Michigan look for? The top searched job categories for Elasticsearch Engineer jobs in Michigan are:
Elasticsearch Engineer jobs near you
Infographic showing various Elasticsearch Engineer job openings in Michigan as of July 2026, with employment types broken down into 80% Full Time, 5% Part Time, 4% Contract, and 11% Nights. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $122,066 per year, or $58.7 per hour.

Sr. Data Engineer - Lansing, MI

Trilyon, Inc.

Lansing, MI • On-site

$116K - $139K/yr

Contractor

Re-posted 23 days ago

Job description

For over 16 years, Trilyon has been a leader in global workforce solutions, specializing in Cloud Technology, AI/ML, Software Development, Technical Writing, and Digital Transformation. We partner with top companies to deliver high-quality talent in engineering, IT, and emerging technologies. For additional information or to view all of our job opportunities, please visit our website https://trilyonservices.com/careers/

We are seeking a Senior Data Engineer to join our team. This role will involve designing, developing, and maintaining complex data platforms, ETL pipelines, and analytics solutions supporting enterprise-scale systems. The ideal candidate will have strong experience in Databricks, AWS, Python/Scala, Oracle, and Elasticsearch, along with a passion for building scalable, high-performance data solutions in an Agile environment.

Job Title: Senior Data Engineer
Location: Lansing, MI (Hybrid – Onsite 2 days/week, REQUIRED)
Duration: 1 year contract with possible extension
LOCAL ONLYJob Description:
  • Design, develop, and maintain complex database systems and enterprise data pipelines
  • Build and optimize ETL processes using Databricks, Python, and Scala
  • Develop and support data solutions using Oracle and cloud-based AWS services
  • Implement and manage Elasticsearch and Kibana for data indexing, search, and visualization
  • Ensure data integrity, performance, and scalability across data warehouse environments
  • Apply CMM/CMMI Level 3 methodologies and Agile development practices, including test-driven development
  • Collaborate with cross-functional teams to deliver high-quality data solutions
  • Support hybrid on-site operations and participate in required on-site interviews
Required Skills & Experience:
  • 12+ years of experience developing complex database systems
  • 8+ years of hands-on experience with Databricks
  • 8+ years using Elasticsearch and Kibana
  • 8+ years of experience with Python and/or Scala
  • 8+ years of experience with Oracle
  • 5+ years of experience in ETL development and data pipeline design
  • 5+ years of experience with AWS cloud services
  • 5+ years of experience with data warehousing, data visualization tools, and data integrity
  • 5+ years working with CMM/CMMI Level 3 processes
  • 5+ years implementing Agile and test-driven development practices
Additional Requirements:
  • Candidates must be local (within 60 miles of Lansing, MI)
  • No remote-only option; relocation candidates will not be considered
  • Must be willing to attend onsite interviews in Lansing, MI
Why Join Us?
  • Trilyon, Inc. offers a comprehensive benefits package
  • Opportunities for growth and professional development
  • Collaborative and inclusive company culture
Equal Employment Opportunity (EEO) Statement:

Trilyon, Inc., is an Equal Opportunity Employer committed to diversity, equity, and inclusion. We do not discriminate based on race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected status under applicable laws. Our diverse team drives innovation, competitiveness, and creativity, enhancing our ability to effectively serve our clients and communities. This commitment to diversity makes us stronger and more adaptable.

—
Anjali Sharma (Technical Recruiter)