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Elasticsearch Engineer Jobs in Michigan (NOW HIRING)

Select Minds LLC

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

Monitor application logs and system health using Kibana, Elasticsearch, and Logstash. * Implement ... Mentor junior engineers and contribute to technical best practices. Required Qualifications * 8+ ...

Stefanini, Inc

Sr. Software Developer

Southfield, MI · On-site

$110 - $140/hr

... Elasticsearch, spring data JPA, and Dynatrace. Work at various, unanticipated locations throughout the US is possible. Relocation costs not paid. This is not travel but would be based on a change in ...

Stellantis

Cloud Software Engineer

Auburn Hills, MI

$56.75 - $73.75/hr

Elasticsearch / OpenSearch * Kafka / SNS / SQS * Data pipelines (Airflow or equivalent) AI/ML (Nice ... Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related ...

FastTek

Software Engineer

Dearborn, MI

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

Stellantis

Cloud Software Engineer

Auburn Hills, MI · On-site

$56.75 - $73.75/hr

Collaborate with cross-functional teams including platform, DevOps, data, QA, and business ... Elasticsearch / OpenSearch * Kafka / SNS / SQS * Data pipelines (Airflow or equivalent) AI/ML (Nice ...

Stellantis

Cloud Software Engineer

Auburn Hills, MI · On-site

$56.75 - $73.75/hr

Collaborate with cross-functional teams including platform, DevOps, data, QA, and business ... Elasticsearch / OpenSearch * Kafka / SNS / SQS * Data pipelines (Airflow or equivalent) AI/ML (Nice ...

Team Velocity

Senior Full Stack .NET Developer

Detroit, MI · On-site

$150K - $175K/yr

... such as Redis, Elasticsearch, Kafka, Snowflake, Cassandra, or similar technologies * Strong ... Experience with modern engineering practices including TDD, Automated Testing, CI/CD, and code ...

Team Velocity

Senior Full Stack .NET Developer

Detroit, MI · Remote

$150K - $175K/yr

... such as Redis, Elasticsearch, Kafka, Snowflake, Cassandra, or similar technologies * Strong ... Experience with modern engineering practices including TDD, Automated Testing, CI/CD, and code ...

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Elasticsearch Engineer information

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How much do elasticsearch engineer jobs pay per hour?

As of Sep 3, 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?

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 does an Elasticsearch Engineer do?

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 skills and qualifications are needed to be an Elasticsearch Engineer?

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 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 August 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $122,066 per year, or $58.7 per hour.

Big Data Engineer

Select Minds LLC

Lansing, MI • On-site

$110K - $125K/yr

Full-time

Posted 29 days ago

Job description

Benefits:
  • ONSITE
  • Competitive salary
  • Opportunity for advancement

Big Data Engineer
Location: Chicago, IL (Day 1 Onsite) Hybrid
Job Type: Contract / Full Time
Experience: 8+ yrs
Duration: Long Term
We are seeking an experienced Big Data Engineer to design, develop, and optimize enterprise-scale big data solutions. The ideal candidate will have strong hands-on expertise in the Hadoop ecosystem, Spark, Scala, Hive, Apache NiFi, and Kafka, along with experience building scalable data pipelines and supporting modern CI/CD practices. Candidates should have worked directly with clients, participated in requirement gathering sessions, and delivered end-to-end Big Data implementations.
Key Responsibilities
* Design, develop, and optimize large-scale data processing pipelines using Spark, Scala, and Hive.
* Build and maintain data ingestion workflows using Apache NiFi.
* Develop and support real-time data streaming solutions using Apache Kafka.
* Monitor application logs and system health using Kibana, Elasticsearch, and Logstash.
* Implement and support CI/CD pipelines using Git, Jenkins, and Nexus.
* Ensure data quality, integrity, and governance across Big Data platforms.
* Participate in architecture discussions and recommend scalable design solutions.
* Troubleshoot and resolve complex production issues across the Big Data stack.
* Collaborate with cross-functional teams in an Agile environment.
* Mentor junior engineers and contribute to technical best practices.
Required Qualifications
* 8+ years of experience in Big Data technologies.
* Strong hands-on experience with Spark, Scala, Hive (HQL), and the Hadoop ecosystem.
* Experience implementing Apache NiFi and Apache Kafka.
* Proficiency in Shell Scripting or Python.
* Experience with PostgreSQL.
* Familiarity with scheduling tools such as Oozie and Control-M.
* Working knowledge of Git, Jenkins, Nexus, Maven, Ansible, and SonarQube.
* Strong understanding of CI/CD practices.
* Experience in client-facing roles, including requirement gathering workshops.
* Minimum of two end-to-end Big Data implementation projects.
* Ability to work independently and contribute effectively within Agile teams.
Flexible work from home options available.
Compensation: $110,000.00 - $125,000.00 per year
About Us
We work to deliver profitability in your business - with effective communication, consulting, and interactive solutions. Following an Agile Work Approach, we make sure you get the ideal solutions at minimum expenses.
Work Approach
Our Philosophy
Our Philosophy starts-and-ends at the Client-first approach. Be it understanding your business requirements to choosing the right technologies, we work as a collective team that takes all the possible steps to grow continuously towards our common goal.
Work Policy
We promote a collaborative work environment. We involve everyone working in the organization in community decisions and encourage them to think from a broader perspective. Our work process promotes flexibility and we maintain a high level of discipline at different levels of execution.
The Future
SelectMinds have years of experience in the domain helps us understand the need-of-the-hour better. This understanding drives us to a better future with every minute ticking. We believe we will be taking off major businesses from their flagship positions, with the products we are eyeing today.

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