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Kafka Engineer Jobs in Michigan (NOW HIRING)

Stefanini

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Required SkillsNoSQL, Kubernetes, Kafka, Google Cloud Platform, Cloud Architecture, Data ... Expert proficiency in programming languages such as Python or Scala.Advanced SQL skills for complex ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

... Kafka, Flink, and more * Experience with workflow management engines (i.e., Airflow, Luigi, Azure ... Programming Mastery: Strong proficiency in Scala or Java. You should be comfortable building ...

ORBION SPACE TECHNOLOGY INC

Senior Data Engineer

Houghton, MI · On-site

$90K - $122K/yr

Description SENIOR DATA ENGINEER Orbion is seeking a Senior Data Engineer/Software Developer Orbion ... Experience developing event-based microservices, e.g. with Apache Kafka * Experience with ...

Orbion Space Technology

Senior Data Engineer

Houghton, MI · On-site

$90K - $122K/yr

Job Type Full-time Description SENIOR DATA ENGINEER Orbion is seeking a Senior Data Engineer ... Experience developing event-based microservices, e.g. with Apache Kafka * Experience with ...

Stellantis

Cloud Software Engineer

Auburn Hills, MI · On-site

$56.75 - $73.75/hr

Kafka / SNS / SQS * Data pipelines (Airflow or equivalent) AI/ML (Nice Leverage, Not Primary) * AWS ... Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related ...

FastTek

Programmer Analyst

Lansing, MI

Programmer Analyst #1062399 Position Description: The position is responsible for providing ongoing ... Hands-on experience with Apache Kafka Preferred Skills: * Healthcare Experience Other Desired ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

... Kafka, Flink, and more * Experience with workflow management engines (i.e., Airflow, Luigi, Azure ... Programming Mastery: Strong proficiency in Scala or Java. You should be comfortable building ...

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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 Sep 3, 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.

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 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.

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 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 August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 2% Temporary, 4% Contract, and 1% Nights. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $88,687 per year, or $42.6 per hour.

Google Cloud Platform Data Engineer

Stefanini

Dearborn, MI • On-site

$105K - $126K/yr

Other

Re-posted 22 days ago

Job description


Stefanini Group is hiring!
Stefanini is looking for a Google Cloud Platform Data Engineer, Dearborn, MI
For quick apply, please reach out to Parul Singh at /
We are looking for Data Engineer who will be responsible for designing, developing, testing, and maintaining software applications and products to meet customer needs. They are involved in the entire software development lifecycle, including designing software architecture, writing code, testing for quality, and deploying software to meet customer requirements. Full-stack software engineering roles, in which employees develop all components of software-including the user interface and server side-also fall within this job function.
Key ResponsibilitiesOversee and contribute to the design, development, and implementation of complex, scalable, and resilient data architectures, including data warehouses, data lakes, and streaming platforms.Lead the creation, maintenance, and optimization of advanced ETL/ELT processes and data pipelines to ingest, transform, and deliver large volumes of data from diverse sources. Ensure data integrity, quality, and performance across all data flows.Assess the requirements of the software application or service and determine the most suitable technology stack, integration method, deployment strategy, and related components.Create high-level software architecture designs that outline the overall structure, components, and interfaces of the application.Define and implement software test strategies, guidelines, policies, and processes in line with organizational vision, industry regulations, and market best practices.Continuously improve performance, optimize applications, and implement new technologies to maximize development efficiency.Develop and maintain back-end applications such as APIs and microservices using server-side languages.
Required SkillsNoSQL, Kubernetes, Kafka, Google Cloud Platform, Cloud Architecture, Data Architecture, Big Data, Cloud Infrastructure, Apache Spark, BigQuery, Apache Hadoop, Java, Docker, Python, Data Management
Preferred SkillsGitHub, Machine Learning
Required Experience5+ years of progressive experience in data engineering or a related role, with a significant focus on large-scale data systems.Expert proficiency in programming languages such as Python or Scala.Advanced SQL skills for complex querying, data manipulation, and database design.Extensive experience with big data technologies, such as Apache Spark, Hadoop, Kafka, and Flink.Proven experience with cloud platforms, including AWS, Azure, or Google Cloud Platform, and their data services, such as: AWS Glue, S3, Redshift, and Athena, Azure Data Factory and Databricks, Google BigQuery and DataflowStrong understanding of data warehousing concepts, data modeling-including dimensional and relational models-and ETL/ELT processes.Experience with version control systems such as Git.
Education RequiredBachelor's Degree
**Listed salary ranges may vary based on experience, qualifications, and local market. Also, some positions may include bonuses or other incentives***
Stefanini takes pride in hiring top talent and developing relationships with our future employees. Our talent acquisition teams will never make an offer of employment without having a phone conversation with you. Those face-to-face conversations will involve a description of the job for which you have applied. We will also speak with you about the process, including interviews and job offers.
About Stefanini Group
The Stefanini Group is a global provider of offshore, onshore and near shore outsourcing, IT digital consulting, systems integration, application, and strategic staffing services to Fortune 1000 enterprises around the world. Our presence is in countries like the Americas, Europe, Africa, and Asia, and more than four hundred clients across a broad spectrum of markets, including financial services, manufacturing, telecommunications, chemical services, technology, public sector, and utilities. Stefanini is a CMM level 5, IT consulting company with a global presence. We are a CMM Level 5 company.
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