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Big Data Engineer Jobs in Michigan (NOW HIRING)

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Experience with Databricks or similar big data platforms * Experience with event-driven ... Cloud or DevOps certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps ...

Amway

Cloud Data Engineer

Ada, MI · On-site

$92K - $113K/yr

Cloud Data Engineer Posting Start Date: 5/18/26 Posting Location: Ada (Grand Rapids), MI ... Experience with distributed or big-data processing frameworks (e.g., Spark, Beam, Hadoop ) Skills ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

Big Data * Data/Analytics * ETL * Application Development * Google Cloud Platform Experience Required: * Engineer 3 Exp: 7+ years Data Engineering work experience Experience Preferred: Our preferred ...

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Experience with Databricks or similar big data platforms * Experience with event-driven ... Cloud or DevOps certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps ...

Bright Mind Solutions LLC

Data Engineer

Warren, MI · On-site

$45 - $50/hr

As a Data Engineer, you will build industrialized data assets and data pipelines in support of ... Big Data applications to support business strategies and deliver business value. • Build tool ...

Bright Mind Solutions LLC

Data Engineer

Warren, MI · On-site

$45 - $50/hr

As a Data Engineer, you will build industrialized data assets and data pipelines in support of ... Big Data applications to support business strategies and deliver business value. • Build tool ...

Deloitte

Sr Databricks Data Engineer

Detroit, MI

$113K - $136K/yr

Evaluate, pilot, and integrate new big data and analytics technologies, ensuring the organization remains at the cutting edge. Lead, coach, and develop teams of data engineers and architects ...

IntraEdge

AI Data Engineer

Detroit, MI

$113K - $136K/yr

Big data: Experience with distributed data processing frameworks such as Apache Spark and Hadoop ... We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful ...

krg technology inc

Big data Tester

Detroit, MI · On-site

... developers, and other stakeholders on requirements and design Develop scalable and reusable ... Datawarehouse, Big Data and BI Analytics concepts Strong experience in SQL, PL/SQL Oracle ...

Stefanini

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a Data Engineer, Dearborn, MI (Onsite) For quick apply, please reach out ... Experience with GitHub, Google Cloud Platform, Big Query, Python, Machine Learning. Experience ...

Contact Government Services, LLC

Data Engineer

Detroit, MI · On-site

$113K - $136K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... of big data analysis and storage tools and technologies. -Strong understanding of the agile ...

FastTek

Data Engineer

Dearborn, MI

$105K - $126K/yr

As a Data Engineer on the Wrangling and Visualization Migration Team, you will communicate and ... Big Data * Data/Analytics * ETL * Application Development * Google Cloud Platform Experience ...

Stefanini Group

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a Data Engineer, Dearborn, MI (Onsite) For quick apply, please reach out ... Experience with GitHub, Google Cloud Platform, Big Query, Python, Machine Learning. Experience ...

Stefanini Group

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for a Data Engineer, Dearborn, MI (Onsite) For quick apply, please reach out ... Experience with GitHub, Google Cloud Platform, Big Query, Python, Machine Learning. Experience ...

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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 Jul 20, 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.
Data Engineer

Data Engineer

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Re-posted 17 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

15th of 44 rated automakers

Job description

Role Overview
We are looking for a DevOps / Data Engineer to build and manage scalable cloud infrastructure, CI/CD pipelines, and data workflows on AWS. This role combines DevOps, automation, and data engineering, with exposure to modern data platforms like Databricks, to enable reliable application delivery and data-driven platforms.
This role requires strong ownership, problem-solving skills, and the ability to work across DevOps, data, and engineering teams.
Key Responsibilities
  • Build and maintain CI/CD pipelines using GitHub Actions / Bitbucket Pipelines
  • Develop and manage Infrastructure as Code (IaC) using Terraform and AWS CDK (Terramate is a plus)
  • Manage and optimize AWS services (EC2, S3, Lambda, RDS, API Gateway)
  • Deploy and support containerized applications using Docker and Kubernetes/OpenShift
  • Develop and support data pipelines and ETL workflows using Python and SQL
  • Work with Databricks or similar data platforms for data processing and analytics
  • Implement DevSecOps practices, including SAST and secrets management (HashiCorp Vault)
  • Implement monitoring and observability solutions using tools like Grafana
  • Monitor systems, troubleshoot issues, and improve performance, reliability, and observability

Basic Requirements
  • Bachelor's degree in computer science, engineering, or related field
  • A minimum of 3 years of experience
  • Strong experience in AWS Cloud & DevOps
  • Strong programming skills in Python for automation and data processing
  • Hands-on with Terraform and AWS CDK
  • Experience with CI/CD tools (GitHub Actions, Bitbucket, Bamboo)
  • Experience with Docker, Kubernetes/OpenShift
  • Knowledge of data pipelines, ETL, and analytics workflows
  • Experience with monitoring and visualization tools such as Grafana
  • Familiarity with logging, monitoring, and incident management

Preferred Requirements:
  • Master's degree in computer science, engineering, or related field
  • Experience with Databricks or similar big data platforms
  • Experience with event-driven architecture (AWS Lambda)
  • Knowledge of Power BI or data visualization tools
  • Exposure to Generative AI / RAG / LLM concepts
  • Experience in enterprise or automotive data platforms
  • Familiarity with Terramate or similar IaC orchestration tools
  • Cloud or DevOps certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, Kubernetes certifications)

Soft Skills
  • Strong problem-solving and analytical skills
  • Good communication and stakeholder collaboration
  • Experience working in Agile/Scrum environments

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