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Big Data Engineer Jobs in Michigan (NOW HIRING)

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 · On-site

$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

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 ...

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

$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 ...

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How much do big data engineer jobs pay per hour?

As of Jul 19, 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 engineers make $300,000 a year?

Senior Big Data Engineers with extensive experience, advanced skills in tools like Hadoop, Spark, and cloud platforms, and often certifications can earn $300,000 or more annually. Compensation varies by industry, location, and company size, with some roles in finance, technology, and consulting reaching this level for highly specialized professionals.

Can I make 200k as a data engineer?

Big Data Engineers with extensive experience, advanced skills in tools like Spark and Hadoop, and certifications can potentially earn salaries of $200,000 or more, especially in high-cost-of-living areas or senior roles. Salary levels depend on factors such as location, industry, company size, and individual expertise.

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, and why are they important?

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 do big data engineers do?

Big Data Engineers design, build, and maintain large-scale data processing systems and pipelines using tools like Hadoop, Spark, and Kafka. They ensure data is collected, stored, and processed efficiently to support analytics and business insights, often working with cloud platforms and scripting languages such as Python or Scala.

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.

What engineers make $500,000?

Senior Big Data Engineers with extensive experience, advanced skills in tools like Hadoop and Spark, and often certifications can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Compensation typically includes base salary, bonuses, and stock options, reflecting their expertise and leadership roles in data infrastructure projects.
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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 2% As Needed, 70% Full Time, 25% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $114,179 per year, or $54.9 per hour.
Looking for Big Data Engineer in Dearborn MI

Looking for Big Data Engineer in Dearborn MI

Avani Technology Solutions, Inc.

Dearborn, MI • On-site

$51.75 - $68.50/hr

Contractor

Re-posted 28 days ago

Job description

Role: Big Data Engineer
Location: Dearborn MI
Duration: 6 Months
Job Description:
• Good Experience in any of the Hadoop distributed platform like HDP/Cloudera
• Hands on experience on in java and Scala programming language.
• Must have work Experience on core Java
• Ability to write, optimize and tune Hive queries
• Good grasp on Hive data modeling/ ACID feature/ Partitions and Clustering
• Experience in Spark to build efficient solutions
• Exposure to debug Map Reduce/Spark jobs in Yarn
• Exposure to cloud technologies AWS or Azure
Qualifications:
• Expected to meet the technical qualifications of the Software Engineer. In addition to those they should have the following Experience providing technical coaching to technical team members (Code Review and hands on coding experience required)
• Experience leading the design, build and support of enterprise-level Internal or external customer-facing applications
• Experience leading the design, build and support of enterprise-level 'Big Data'
• Demonstrated the ability to learn and teach new technologies
Thanks & Best Regards
Swamy A
Direct : 585-532-7074| swamy.a@avanitechsolutions.com
687 Lee Road, Suite # 208, Rochester, NY 14606
http://www.avanitechsolutions.com

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