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Kafka Engineer Jobs in Michigan (NOW HIRING)

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

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 ...

Actalent

Senior Software Engineer

Southfield, MI · On-site +1

$57 - $70/hr

Senior Software Engineer - Backend and Distributed Systems This role focuses on designing and ... Develop and maintain systems that use distributed messaging technologies such as Kafka, MQTT ...

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 ...

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 ...

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

GCP Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

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

New

Stefanini Group

GCP Data Engineer

Dearborn, MI

$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

$61 - $66/hr

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 ...

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 ...

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Showing results 1-20

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 1, 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.

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 July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $88,687 per year, or $42.6 per hour.

Software Engineer

Vertex Sigma Software

Dearborn, MI • On-site

Full-time

Re-posted 10 hours ago

Job description

Overview

We are looking for a skilled Software Engineer to design and deliver scalable, cloud-native microservices within our Connected Services platform. You will own the full software lifecycle — from architecture through deployment — building robust APIs and event-driven systems that power real-time device and data integrations.

Responsibilities
  • Design and develop RESTful and event-driven microservices using Java 17+ and Spring Boot 3
  • Build and maintain integrations with IoT devices, third-party APIs, and connected platforms
  • 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 on CI/CD pipelines using Docker, Kubernetes, and Helm
  • Participate in architecture reviews and define best practices for the team

Requirements

Required Skills
  • 5+ years with Java and the Spring Boot ecosystem; Java 17+ preferred
  • Strong knowledge of Spring Cloud, Spring Security, and Spring Data JPA
  • Experience with Kafka, RabbitMQ, or similar messaging technologies
  • Familiarity with OAuth 2.0, JWT, and API security patterns
  • Proficient with SQL/NoSQL databases, including PostgreSQL, MongoDB, and Redis
  • Hands-on with Docker and Kubernetes in cloud environments (AWS, GCP, or Azure)
  • Contributions to open-source Java or Spring Boot projects
Nice to Have
  • Experience with MQTT, AMQP, or CoAP for IoT device communication
  • Knowledge of OpenAPI / Swagger specification and contract-first design
  • Exposure to service mesh technologies, including Istio and Linkerd, and observability tooling