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Data Engineer Project Jobs in Michigan (NOW HIRING)

Corning

$104K - $125K/yr

AWS experience is strongly preferred. - Experience leading technical projects or independently owning complex Data Engineering initiatives.- Strong communication and collaboration skills, with the ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$105K - $127K/yr

Project management tools like Atlassian JIRA. Even better if you have... * Ph.D. or foreign equivalent degree in Computer Science, Software Engineering, Information System, Data Engineering, or a ...

Corning

$104K - $125K/yr

Leadership will be demonstrated through technical expertise, project ownership, mentoring, and ... and promote Data Engineering standards, development patterns, data-quality frameworks ...

Deloitte

Data Engineer

Lansing, MI · On-site

$116K - $139K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on ... Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite ...

Deloitte

Data Engineer

Grand Rapids, MI · On-site

$110K - $132K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on ... Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite ...

Deloitte

Data Engineer

Midland, MI · On-site

$98K - $118K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on ... Project Delivery Model (PDM) is a talent model that is tailored specifically for long-term, onsite ...

Aecon Group Inc.

Engineer, Project

Port Huron, MI

Provide data analysis, reporting, and project insights to the General Manager to support informed ... Recent University or College graduate in Engineering or a related discipline. * Minimum of two (2) ...

Howmet Aerospace

Data Engineer

Whitehall, MI · On-site

$108K - $130K/yr

Document projects in Power Point and reusable code, storing work in a revision-controlled system Basic Qualifications: * Bachelor's degree in engineering, Data Analysis, Data Science, Computer ...

Howmet Aerospace

Data Engineer

Whitehall, MI · On-site

$108K - $130K/yr

Document projects in Power Point and reusable code, storing work in a revision-controlled system Basic Qualifications: * Bachelor's degree in engineering, Data Analysis, Data Science, Computer ...

Spruce Infotech

Azure Data Engineer

Ann Arbor, MI · On-site

$55 - $57/hr

Data Engineer Work Location : Ann ArborMI48105 Vendor Rate: $55 - $57/hr on W2 Contract duration: 6 ... setup projects Interview Process (Is face to face required?) No Any additional information you ...

KODE Labs

Data Engineer

Detroit, MI · On-site

$125 - $150/hr

Our team is hiring a Data Engineer to join our EnerG team . Be a driving force behind our ... Dynamic team and challenging projects * Flexible Paid Time Off * Welcoming and friendly work ...

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 ... Fine-tune and improve a variety of sophisticated software implementation projects * Gather and ...

MM International

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Role- Data Engineer Work location Dearborn, MI Ideal to be local but not required. 12 month ... Provide expert technical guidance and support throughout the project lifecycle, including ...

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 ... Fine-tune and improve a variety of sophisticated software implementation projects * Gather and ...

V-CENTRIX-US LLC

Snowflake Data Engineer

Detroit, MI · On-site

$104K - $125K/yr

Roles and Responsibilities Technical Leadership and Data Engineering Lead end-to-end data warehousing projects using Snowflake, DataStage, and dbt , which are mandatory skills for this role. Design ...

Howmet Aerospace

Data Engineer

Whitehall, MI · On-site

$108K - $130K/yr

Bachelor's degree in engineering, Data Analysis, Data Science, Computer Science, or Information ... Document projects in Power Point and reusable code, storing work in a revision-controlled system

Howmet Aerospace Inc.

Data Engineer

Whitehall, MI · On-site

$80 - $100/hr

Document projects in Power Point and reusable code, storing work in a revision-controlled system Qualifications Basic Qualifications: At least two years of data engineering experience Must have ...

Howmet

Data Engineer

Whitehall, MI · On-site

$108K - $130K/yr

Document projects in Power Point and reusable code, storing work in a revision-controlled system , Qualifications Basic Qualifications: * Bachelor's degree in engineering, Data Analysis, Data Science ...

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All JobsData Engineer Project JobsData Engineer Project Jobs in Michigan

Data Engineer Project information

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

Are data engineers still in high demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Skills in cloud platforms, data pipeline development, and tools like SQL, Python, and Apache Spark enhance job prospects in this field.

Is a data engineer paid well?

Data engineers are generally well-compensated due to their specialized skills in managing large datasets, working with tools like SQL, Python, and cloud platforms. Salaries vary by experience, location, and industry, but they tend to be higher than average for tech roles, reflecting the demand for data infrastructure expertise.

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

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

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

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

What cities in Michigan are hiring for Data Engineer Project jobs?

Cities in Michigan with the most Data Engineer Project job openings:

Data Engineer Project jobs near you
Infographic showing various Data Engineer Project job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote 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 8 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