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Big Data Engineer Jobs in Michigan (NOW HIRING)

Select Minds LLC

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

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 ...

New

Select Minds LLC

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

Opportunity for advancement Big Data Engineer Location: Chicago, IL (Day 1 Onsite) Job Type: Contract / Full Time Experience: 8+ yrs Duration: Long Term We are seeking an experienced Big Data ...

Mindlance

Big Data Developer

Detroit, MI · On-site

$52.25 - $68/hr

They are seeking a Big Data Developer to install, configure, and administer Cloudera clusters, as well as develop functionality within Hadoop clusters and manage data files in HDFS. Responsibilities ...

Saransh Inc

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/yr

Exposure to Big Data ecosystems and distributed data processing. Nice to have Technical Skills: * Prior experience with ETL tools like DataStage or Informatica. Responsibilities: * The Data Engineer ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1054984 * Employees in this job function are responsible for designing, building ... GCP, Big Data, Data Warehousing, Artificial Intelligence & Expert Systems, API * GCP - Experience ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Data Engineer #1054989 * Employees in this job function are responsible for designing, building ... GCP, Big Data, Data Warehousing, Artificial Intelligence & Expert Systems, API * GCP - Experience ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this ... Big Query, Azure, AWS S3, etc.) • Familiarity with time series database, data streaming ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS ... Programming Mastery: Strong proficiency in Scala or Java. You should be comfortable building ...

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

$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 ...

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

Stefanini is looking for a GCP Data Engineer, Dearborn, MI For quick apply, please reach out to ... Extensive experience with big data technologies, such as Apache Spark, Hadoop, Kafka, and Flink.

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Big Data Engineer information

See Michigan salary details

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How much do big data engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for big data engineer in Michigan is $54.89, according to ZipRecruiter salary data. Most workers in this role earn between $46.73 and $61.83 per hour, depending on experience, location, and employer.

What does a Big Data Engineer do?

A Big Data Engineer designs, builds, and manages systems that process and store large volumes of data. They develop data pipelines, integrate data from various sources, and ensure that the infrastructure is scalable, reliable, and efficient. Their work enables organizations to analyze and derive insights from massive datasets, supporting decision-making and business intelligence. Big Data Engineers often work with technologies like Hadoop, Spark, and cloud platforms.

What are the key skills and qualifications needed to thrive as a Big Data Engineer?

To thrive as a Big Data Engineer, you need strong programming skills (often in Python, Java, or Scala), experience with data modeling, and a solid understanding of distributed computing and database systems, typically supported by a degree in computer science or a related field. Familiarity with big data tools and platforms like Hadoop, Spark, Kafka, and relevant cloud services, as well as certifications such as Cloudera or AWS Big Data, is also important. Analytical thinking, problem-solving ability, and effective communication are key soft skills that help bridge technical solutions with business needs. These skills are crucial for designing scalable data pipelines, ensuring efficient data processing, and delivering actionable insights that drive organizational success.

What are some common challenges Big Data Engineers face when working with large-scale data pipelines?

Big Data Engineers often encounter challenges related to optimizing data pipelines for scalability and reliability, especially as data volume and velocity increase. Issues like managing data consistency, handling schema changes, and ensuring low-latency data processing are frequent hurdles. Collaborating closely with data scientists and DevOps teams is crucial, as projects often require integrating diverse data sources and maintaining high data quality standards. Staying up-to-date with evolving big data technologies and best practices is essential to address these ongoing challenges effectively.
More about Big Data Engineer jobs
What are the most commonly searched types of Big Data Engineer jobs in Michigan? The most popular types of Big Data Engineer jobs in Michigan are:
What are popular job titles related to Big Data Engineer jobs in Michigan? For Big Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Big Data Engineer jobs in Michigan look for? The top searched job categories for Big Data Engineer jobs in Michigan are:
What are popular job titles related to Big Data Engineer jobs in MI? For Big Data Engineer jobs in MI, the most frequently searched job titles are:
Big Data Engineer jobs near you
Infographic showing various Big Data Engineer job openings in Michigan as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 7% Part Time, and 7% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $114,179 per year, or $54.9 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.