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Data Engineer Python Jobs in Michigan (NOW HIRING)

Saransh Inc

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/yr

Role: GCP Data Engineer with Python Location: Dearborn, MI (4 days a week onsite) Job Type: Contract Experience: Overall 8 to 12 years Job Summary: * The Data Engineer will be responsible for ...

AaraTechnologies Inc

DATA ENGINEER

Wyoming, MI · On-site

$103K - $124K/yr

Data Engineer Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role ... Write SQL queries and basic Python scripts * Assist with data ingestion and transformation

New

Strategic Employment

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

A healthcare company based in the Detroit is looking to hire a Data Engineer. They're looking for ... Python, PySpark, TypeScript, ETL, dashbords

Strategic Employment

Data Engineer

Detroit, MI · Hybrid

$113K - $135K/yr

A healthcare company based in the Detroit is looking to hire a Data Engineer. They're looking for ... Python, PySpark, TypeScript, ETL, dashbords

Ford Motor Company

Data Engineer

Dearborn, MI · Hybrid

$115K - $192K/yr

Intermediate Python Coding: Proficiency in writing clean, maintainable code for data manipulation ... Master's Degree in Computer Science, Data Engineering, or a related quantitative field. * 5+ years ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Comprehensive experience with one or more programming languages such as Python, Java, or Rust * Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS S3 ...

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 ... Proficiency in Python for automation, data analysis, or scripting. • Cloud Platforms: Experience ...

Tech Tammina LLC

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

Data Engineer Location: Okemos, MI (Hybrid/ Onsite) Duration: Long term Rate: Market F2F is must ... PL/SQL, Python, T-SQL, StreamSets, Snowflake Cloud Data Platform, and Informatica PowerCenter ...

Stefanini

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Stefanini is looking for Data Engineer , Dearborn, MI For quick apply, please reach out to Adil ... Leverage tools and technologies, including Python, SQL, and DBT/Dataform, to build robust and ...

Tech Tammina LLC

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

Data Engineer Location: Lansing, MI (Need only locals, F2F is must) Rate: Market Duration ... Python/Scala. 8+ years Oracle. 5+ years' experience with Extract, Transform, and Load (ETL) ...

Corning

$104K - $125K/yr

This position is ideal for a hands-on Data Engineer who has strong Python and SQL fundamentals and is interested in growing within modern data platforms, manufacturing data, and AI-enabled solutions.

Kanak Elite Services Inc

Data Engineer

Okemos, MI · On-site

$103K - $124K/yr

DATA ENGINEER LOCATION: HYBRID IN OKEMOS, MI OFFICE 2 DAYS A WEEK + 3 DAYS REMOTE (ONLY LOCALS ... PL/SQL, Python, T-SQL, StreamSets, Snowflake Cloud Data Platform, and Informatica PowerCenter ...

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 ...

Corning

$104K - $125K/yr

You will remain hands-on with data pipelines, Python, SQL, cloud technologies, and distributed data processing while also influencing architecture, engineering standards, data quality, governance ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Data Engineering & Pipeline Development: * Design, build, and maintain secure, scalable data ... Proficiency in Python, Spark, or similar data processing technologies * Experience working with ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Comprehensive experience with one or more programming languages such as Python, Java, or Rust * Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS S3 ...

HTC Global Services

Data Engineer III

Dearborn, MI · On-site

$105K - $126K/yr

Data Engineer III Overview / Summary We are seeking a Data Engineer III to design, build, and ... Leverage Python, SQL, and DBT/Dataform to build robust and efficient data pipelines. * Utilize GCP ...

BISSELL Homecare

Sr. Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

Overview The Sr. Data Engineer will serve as a key technical contributor responsible for the design ... Strong Python proficiency: ability to develop, analyze, debug, and optimize ETL pipelines ...

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Data Engineer Python information

What is a data engineer python?

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 does a data engineer python do?

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.

What are the key skills and qualifications needed to thrive in the data engineer python position?

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.

How much does a Data Engineer Python make?

A Data Engineer specializing in Python typically earns between $90,000 and $130,000 annually, depending on experience, location, and industry. Senior roles or those with expertise in big data tools like Spark or Hadoop may have higher salaries, especially in high-demand markets.

What are popular job titles related to Data Engineer Python jobs in Michigan?

For Data Engineer Python jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Data Engineer Python jobs in Michigan look for?

The top searched job categories for Data Engineer Python jobs in Michigan are:

Data Engineer Python jobs near you
Infographic showing various Data Engineer Python job openings in Michigan as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Data Engineer (Python)

Auburn Hills, MI • On-site

Noblesoft Technologies
Software Development • 51 - 200 employees
Learn more about Noblesoft Technologiesexternal

$108K - $130K/yr

Contractor

Re-posted 26 days ago

Job description

Job Role: Senior Data Engineer (Python)

Location: Auburn Hills, MI
 

Mandatory Skills: Data Engineering, Python, PySpark, CI/CD, Airflow, Workflow Orchestration

Overall Experience: 8+ years of relevant experience

JOB REQUIREMENTS -

The Senior Data Engineer & Technical Lead (SDET Lead) will play a pivotal role in delivering major data engineering initiatives within the Data & Advanced Analytics space. This position requires hands-on expertise in building, deploying, and maintaining robust data pipelines using Python, PySpark, and Airflow, as well as designing and implementing CI/CD processes for data engineering projects

Key Responsibilities
1. Data Engineering: Design, develop, and optimize scalable data pipelines using Python and PySpark for batch and streaming workloads.
2. Workflow Orchestration: Build, schedule, and monitor complex workflows using Airflow, ensuring reliability and maintainability.
3. CI/CD Pipeline Development: Architect and implement CI/CD pipelines for data engineering projects using GitHub, Docker, and cloud-native solutions.
4. Testing & Quality: Apply test-driven development (TDD) practices and automate unit/integration tests for data pipelines.
5. Secure Development: Implement secure coding best practices and design patterns throughout the development lifecycle.
6. Collaboration: Work closely with Data Architects, QA teams, and business stakeholders to translate requirements into technical solutions.
7. Documentation: Create and maintain technical documentation, including process/data flow diagrams and system design artifacts.
8. Mentorship: Lead and mentor junior engineers, providing guidance on coding, testing, and deployment best practices.
9. Troubleshooting: Analyze and resolve technical issues across the data stack, including pipeline failures and performance bottlenecks.
Cross-Team Knowledge Sharing: Cross-train team members outside the project team (e.g., operations support) for full knowledge coverage.

Includes all above skills, plus the following;
·         Minimum of 7+ years overall IT experience
·         Experienced in waterfall, iterative, and agile methodologies

Technical Experience:

1. Hands-on Data Engineering : Minimum 5+ years of practical experience building production-grade data pipelines using Python and PySpark.
2. Airflow Expertise: Proven track record of designing, deploying, and managing Airflow DAGs in enterprise environments.
3. CI/CD for Data Projects : Ability to build and maintain CI/CD pipelines for data engineering workflows, including automated testing and deployment**.
4. Cloud & Containers: Experience with containerization (Docker and cloud platforms (GCP) for data engineering workloads. Appreciation for twelve-factor design principles
5. Python Fluency : Ability to write object-oriented Python code manage dependencies, and follow industry best practices
6. Version Control: Proficiency with **Git** for source code management and collaboration (commits, branching, merging, GitHub/GitLab workflows).
7. Unix/Linux: Strong command-line skills** in Unix-like environments.
8. SQL : Solid understanding of SQL for data ingestion and analysis.
9. Collaborative Development : Comfortable with code reviews, pair programming and using remote collaboration tools effectively.
10. Engineering Mindset: Writes code with an eye for maintainability and testability; excited to build production-grade software
11. Education: Bachelor’s or graduate degree in Computer Science, Data Analytics or related field, or equivalent work experience.

Unique Skills

• Graduate degree in a related field, such as Computer Science or Data Analytics
• Familiarity with Test-Driven Development (TDD)
• A high tolerance for OpenShift, Cloudera, Tableau, Confluence, Jira, and other enterprise tools