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Data Engineer Python Jobs in Michigan (NOW HIRING)

IntraEdge

AI Data Engineer

Detroit, MI

$113.40K - $136.10K/yr

Fluency in programming languages such as Python and SQL, and familiarity with others like Java or ... Big data: Experience with distributed data processing frameworks such as Apache Spark and Hadoop.

Megan soft Inc

GCP Data Engineer (W2 Position)

Dearborn, MI · On-site

$105.20K - $126.30K/yr

Java, Python, Spark, Scala, SQL and experience performance tuning. * 4 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and ...

Plantemoran

AI Data Engineer

Southfield, MI

$105K - $126.10K/yr

Strong SQL plus Python for data transformation and pipeline logic; experience with PySpark/Spark. * Handson with Microsoft Fabric (Lakehouse/Data Engineering/Pipelines) and Azure Data Factory ...

Stellantis

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108.40K - $130.10K/yr

The Data Engineer plays a critical role in enabling this vision by designing, building, and ... Strong proficiency in Python and SQL for data transformation and pipeline development * Experience ...

Detroit Tigers

Cloud Data Engineer

Detroit, MI · On-site +1

$113.40K - $136.10K/yr

Proficiency building data processing pipelines using SQL and Python. * Experience with cloud ... Experience with DevOps and MLOps practices for CI/CD pipelines, including model versioning and ...

Detroit Tigers

Cloud Data Engineer

Detroit, MI · On-site

$113.40K - $136.10K/yr

Proficiency building data processing pipelines using SQL and Python. * Experience with cloud ... Experience with DevOps and MLOps practices for CI/CD pipelines, including model versioning and ...

Stefanini Group

GCP Data Engineer

Dearborn, MI · On-site

$52 - $57/hr

Cloud Architecture, GCP, Python Experience Required * 4+ years of Data Engineering work experience Education Required * Bachelor's Degree **Listed salary ranges may vary based on experience ...

AEG

Cloud Data Engineer

Detroit, MI · On-site

$113.10K - $135.90K/yr

Proficiency building data processing pipelines using SQL and Python. * Experience with cloud ... Experience with DevOps and MLOps practices for CI/CD pipelines, including model versioning and ...

Stefanini Group

GCP Data Engineer

Dearborn, MI

Cloud Architecture, GCP, Python Experience Required * 4+ years of Data Engineering work experience Education Required * Bachelor's Degree **Listed salary ranges may vary based on experience ...

Stefanini Group

GCP Data Engineer

Dearborn, MI

Cloud Architecture, GCP, Python Experience Required * 4+ years of Data Engineering work experience Education Required * Bachelor's Degree **Listed salary ranges may vary based on experience ...

Stefanini Group

GCP Data Engineer

Dearborn, MI

Cloud Architecture, GCP, Python Experience Required * 4+ years of Data Engineering work experience Education Required * Bachelor's Degree **Listed salary ranges may vary based on experience ...

Trilyon, Inc.

Sr. Data Engineer - Lansing, MI

Lansing, MI · On-site

$116.10K - $139.50K/yr

... Senior Data Engineer to join our team. This role will involve designing, developing, and ... The ideal candidate will have strong experience in Databricks, AWS, Python/Scala, Oracle, and ...

MM International

Data Engineer with DevOps Skill

Dearborn, MI · On-site

$105.20K - $126.30K/yr

... Python Skills Preferred: · Problem Solving · Critical Thinking · Communications · Cross ... Data Engineer, or similar role, with a strong focus on operationalizing data pipelines. · ...

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Data Engineer Python information

What is a Data Engineer Python job?

A Data Engineer Python job involves designing, building, and maintaining data pipelines using Python. These professionals ensure data is collected, processed, and stored efficiently for analytics and machine learning. They work with databases, cloud platforms, and big data technologies to optimize data workflows. Strong Python skills, SQL knowledge, and experience with ETL processes are essential for this role.

What are the key skills and qualifications needed to thrive in the Data Engineer Python position, and why are they important?

To thrive as a Data Engineer Python, you need strong programming skills in Python, a solid understanding of data modeling, ETL processes, and often a degree in computer science or a related field. Experience with big data tools like Apache Spark or Hadoop, cloud data platforms such as AWS or Azure, and certifications in data engineering are valuable assets. Analytical thinking, attention to detail, and effective communication are important soft skills for collaborating across teams and solving complex data challenges. These qualifications are critical for successfully designing, building, and maintaining scalable data pipelines that support organizational decision-making.

What are the typical daily responsibilities of a Data Engineer Python?

As a Data Engineer Python, your daily tasks will often include designing, building, and maintaining robust data pipelines to collect, process, and store large sets of structured and unstructured data. You’ll frequently work with Python to automate data workflows and ensure data quality, while also collaborating with data scientists, analysts, and other engineering teams to support shared objectives. Monitoring system performance, troubleshooting issues, and optimizing data processes for scalability and efficiency are also key parts of the role. This position offers an engaging mix of technical problem-solving and cross-functional teamwork in a dynamic data-driven environment.
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Data Engineer Python jobs near you
Infographic showing various Data Engineer Python job openings in Michigan as of May 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 85% In-person, 12% Hybrid, and 3% Remote job distribution.
AI Data Engineer

AI Data Engineer

IntraEdge

Detroit, MI

$113.40K - $136.10K/yr

Full-time

Posted 19 days ago

Job description

Job Description: 

We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and pipelines that power our AI, machine learning (ML), agentic AI, and generative AI (GenAI) initiatives. This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models. 
Key responsibilities
  • Build AI-ready data pipelines: Design, construct, and optimize scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines specifically for AI and ML models.
  • Architect data solutions: Develop and manage data architectures, including data lakes, data warehouses, and vector databases, to support various AI workloads.
  • Ensure data quality and governance: Implement data validation, security, and governance policies to ensure the integrity, accessibility, and compliance of data used in AI models.
  • Support AI model lifecycle: Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment.
  • Manage real-time data: Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics.
  • Optimize cloud infrastructure: Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently.
  • Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and microservices.
  • Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify data drift, and quickly resolve any data quality issues that may impact model performance.
  • AI-assisted development: Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline data transformation tasks.
Required qualifications
  • Education: A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field is typically required.
  • Experience: Proven experience in a data engineering or similar role, with specific experience supporting AI and ML projects.
  • Programming: Fluency in programming languages such as Python and SQL, and familiarity with others like Java or Scala.
  • Frameworks: Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as LLM-specific tools like LangChain or LlamaIndex.
  • Big data: Experience with distributed data processing frameworks such as Apache Spark and Hadoop.
  • Cloud platforms: Proficiency with at least one major cloud provider (AWS, Azure, or GCP) and its AI data-related services.
  • Databases: Expertise in both relational (SQL) and NoSQL databases, including vector databases for GenAI applications.
  • DevOps and MLOps: Experience with CI/CD, Docker, and ML lifecycle management tools like MLflow is highly valued.

Job Description: 

We are seeking an experienced and highly skilled AI Data Engineer to join our team. The successful candidate will be responsible for designing, building, and maintaining the data infrastructure and pipelines that power our AI, machine learning (ML), agentic AI, and generative AI (GenAI) initiatives. This role requires strong expertise in data engineering best practices and a deep understanding of the unique data needs of AI models. 
Key responsibilities
  • Build AI-ready data pipelines: Design, construct, and optimize scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) pipelines specifically for AI and ML models.
  • Architect data solutions: Develop and manage data architectures, including data lakes, data warehouses, and vector databases, to support various AI workloads.
  • Ensure data quality and governance: Implement data validation, security, and governance policies to ensure the integrity, accessibility, and compliance of data used in AI models.
  • Support AI model lifecycle: Collaborate with data scientists and ML engineers to prepare, integrate, and manage large-scale datasets for model training and deployment.
  • Manage real-time data: Develop streaming data pipelines using technologies like Apache Kafka to support real-time AI applications and analytics.
  • Optimize cloud infrastructure: Utilize AWS cloud computing platforms to build, deploy, and scale AI data solutions efficiently.
  • Deploy AI models: Automate the training and deployment of AI/ML models into production via APIs and microservices.
  • Monitor and troubleshoot: Implement data observability tools to monitor pipeline health, identify data drift, and quickly resolve any data quality issues that may impact model performance.
  • AI-assisted development: Use AI assistants like Copilot in Microsoft Fabric notebooks to generate, explain, and fix code, accelerate data analysis, and streamline data transformation tasks.
Required qualifications
  • Education: A Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field is typically required.
  • Experience: Proven experience in a data engineering or similar role, with specific experience supporting AI and ML projects.
  • Programming: Fluency in programming languages such as Python and SQL, and familiarity with others like Java or Scala.
  • Frameworks: Hands-on experience with ML frameworks like TensorFlow, PyTorch, and Scikit-learn, as well as LLM-specific tools like LangChain or LlamaIndex.
  • Big data: Experience with distributed data processing frameworks such as Apache Spark and Hadoop.
  • Cloud platforms: Proficiency with at least one major cloud provider (AWS, Azure, or GCP) and its AI data-related services.
  • Databases: Expertise in both relational (SQL) and NoSQL databases, including vector databases for GenAI applications.
  • DevOps and MLOps: Experience with CI/CD, Docker, and ML lifecycle management tools like MLflow is highly valued. 
Education:Employment Type: FULL_TIME
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About IntraEdge

Sourced by ZipRecruiter

At heart, we are a technology, products and services organization In our soul, it’s the people who make us what we are — the professionals we train and connect to next-level opportunities and the experts who create innovative solutions and value for our national and international partners. It’s true that innovative technology can provide a major boost to your business, but you also need the right talent pushing it forward. This critical combination is what we offer all of our partners: cutting edge tech solutions and the expertise to bring it to life.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chandler, AZ, US

Year founded

2002

Social media

Instagram

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