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Kafka Engineer Jobs in Michigan (NOW HIRING)

Select Minds LLC

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

Develop and support real-time data streaming solutions using Apache Kafka. * Monitor application ... Mentor junior engineers and contribute to technical best practices. Required Qualifications * 8+ ...

New

Vertex Sigma Software

Software Engineer

Dearborn, MI · On-site

Implement messaging pipelines with Kafka or RabbitMQ for real-time data streaming * Write clean, testable code with JUnit, Mockito, and integration test suites * Collaborate with product and DevOps ...

Vertex Sigma Software

Software Engineer

Dearborn, MI · On-site

Implement messaging pipelines with Kafka or RabbitMQ for real-time data streaming * Write clean, testable code with JUnit, Mockito, and integration test suites * Collaborate with product and DevOps ...

Vertex Sigma Software

Software Engineer

Dearborn, MI · On-site

Implement messaging pipelines with Kafka or RabbitMQ for real-time data streaming * Write clean, testable code with JUnit, Mockito, and integration test suites * Collaborate with product and DevOps ...

Select Minds LLC

Middleware Engineer III

Lansing, MI · On-site +1

$90K - $110K/yr

Kafka * OpenShift * WebSphere * Tomcat * Java, Python, Node.js, SQL * Azure Cloud (Preferred) * DevOps / Infrastructure Automation * Middleware Administration & Production Support We are seeking a ...

Shibumi.com, Inc

Staff Software Engineer

Royal Oak, MI · On-site

Kafka event bus and OpenSearch indexes supporting millions of searchable objects. * Java/Spring and ... Raising the engineering bar through design discussions, architecture reviews, mentoring, and ...

Select Minds LLC

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

Develop and support real-time data streaming solutions using Apache Kafka. * Monitor application ... Mentor junior engineers and contribute to technical best practices. Required Qualifications * 8+ ...

RPM

Senior Software Engineer

Birmingham, MI · On-site

$116K - $154K/yr

Senior Software Engineer RPM is an international non-asset-based logistics and supply chain ... Hands-on experience with event-driven architecture using Apache Kafka or equivalent streaming ...

RPM

Senior Software Engineer

Birmingham, MI · On-site

$116K - $154K/yr

Senior Software Engineer RPM is an international non-asset-based logistics and supply chain ... Hands-on experience with event-driven architecture using Apache Kafka or equivalent streaming ...

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

Big Data Tech: Hadoop, Spark, Kafka; * Programming/API: Python, Keras, Scikit-learn, R, XML; * ML/DL/Analytic Engines: TensorFlow, PyTorch, Trillium, Apache Spark; * Modeling Tools: MS Visio, ER ...

Stefanini Group

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

NoSQL, Kubernetes, Kafka, GCP, Cloud Architecture, Data Architecture, Big Data, Cloud ... Expert proficiency in programming languages such as Python or Scala. * Advanced SQL skills for ...

Stefanini Group

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

NoSQL, Kubernetes, Kafka, GCP, Cloud Architecture, Data Architecture, Big Data, Cloud ... Expert proficiency in programming languages such as Python or Scala. * Advanced SQL skills for ...

Stefanini Group

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

NoSQL, Kubernetes, Kafka, GCP, Cloud Architecture, Data Architecture, Big Data, Cloud ... Expert proficiency in programming languages such as Python or Scala. * Advanced SQL skills for ...

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All JobsKafka Engineer JobsKafka Engineer Jobs in Michigan

Kafka Engineer information

See Michigan salary details

$34K

$88.7K

$119.8K

How much do kafka engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for kafka engineer in Michigan is $88,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,200.00 and $101,500.00 per year, depending on experience, location, and employer.

How does a Kafka engineer typically collaborate with development and operations teams?

Kafka Engineers play a key role in bridging the gap between development and operations teams. They work closely with developers to design and implement event-driven architectures using Kafka, ensuring data flows reliably between services. Simultaneously, they partner with operations teams to deploy, monitor, and maintain Kafka clusters, addressing issues like scalability, fault tolerance, and security. Effective communication and a strong understanding of both software development and infrastructure are essential for success in this collaborative environment.

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

To thrive as a Kafka Engineer, you need a strong understanding of distributed systems, proficiency in Apache Kafka, and experience with programming languages like Java or Python, often supported by a degree in computer science or a related field. Familiarity with tools such as Kafka Connect, Kafka Streams, monitoring systems (e.g., Prometheus, Grafana), and relevant certifications like Confluent Certified Developer for Apache Kafka are typically required. Problem-solving skills, effective communication, and the ability to work collaboratively make someone stand out in this position. These skills and qualities are crucial to ensure reliable data pipelines, seamless integration, and efficient troubleshooting in mission-critical, real-time data environments.

What does a Kafka engineer do?

A Kafka Engineer specializes in designing, building, and maintaining distributed data streaming systems using Apache Kafka. They are responsible for configuring Kafka clusters, ensuring data reliability and scalability, and integrating Kafka with other systems. Kafka Engineers also monitor system performance, troubleshoot issues, and optimize data pipelines to support real-time data processing needs. Their work is essential for organizations that rely on high-throughput, low-latency data streaming for applications such as analytics, event sourcing, and microservices architectures.

What is the difference between Kafka Engineer vs Data Engineer?

AspectKafka EngineerData Engineer
Required CredentialsCertifications in Kafka, cloud platforms, programming languagesCertifications in data tools, cloud, SQL, programming
Work EnvironmentFocus on Kafka setup, streaming data, real-time processingBroader data pipeline, storage, and processing tasks
Employer & Industry UsageTech companies, data-driven organizations using KafkaVarious industries managing large data systems
Common Search & ComparisonOften compared for specialization in streaming dataBroader role encompassing multiple data technologies

The Kafka Engineer specializes in designing, implementing, and maintaining Kafka-based streaming data systems, focusing on real-time data processing. In contrast, Data Engineers work on building comprehensive data pipelines, integrating various data sources, and managing storage solutions. While Kafka Engineers focus on Kafka-specific tasks, Data Engineers handle a wider range of data tools and platforms, making their roles complementary but distinct in data infrastructure teams.

How much do Kafka engineers make?

Kafka engineers in the US typically earn between $100,000 and $150,000 annually, depending on experience, location, and certifications. Senior roles or those with specialized skills in distributed systems and real-time data processing can command higher salaries. Compensation may also include benefits such as bonuses and stock options.
What are popular job titles related to Kafka Engineer jobs in Michigan? For Kafka Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Kafka Engineer jobs in Michigan look for? The top searched job categories for Kafka Engineer jobs in Michigan are:
What cities in Michigan are hiring for Kafka Engineer jobs? Cities in Michigan with the most Kafka Engineer job openings:
Kafka Engineer jobs near you
Infographic showing various Kafka Engineer job openings in Michigan as of August 2026, with employment types broken down into 100% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $88,687 per year, or $42.6 per hour.

Big Data Engineer

Select Minds LLC

Lansing, MI • On-site

$110K - $125K/yr

Full-time

Posted 3 days ago

New

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.