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Full Time Data Engineer Jobs in Michigan (NOW HIRING)

Nastech Global

Developer

Detroit, MI · On-site

Detroit, MI/Charlotte, NC/Remote Job Type: Full time Datastage Platform Engineer Must Have ... Pak for Data (IBM) and cloud-based platforms such as AWS, Azure, or Google Cloud. - Proven ...

Infosys

Azure Databricks Engineer

Ann Arbor, MI · On-site

EEO/About Us Benefits Along with competitive pay, as a full-time Infosys employee you are also ... Overview The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into ...

CAI

Data Center Commissioning Project Manager

Lansing, MI · On-site

$128K - $150K/yr

*THIS IS NOT A DATA ENGINEERING RELATED POSITION* Position Description: Your responsibilities as a ... full-time positions offer competitive compensation and benefits which include: 24 days PTO and 5 ...

CAI

Data Center Commissioning Project Manager

Lansing, MI · On-site

$128K - $150K/yr

*THIS IS NOT A DATA ENGINEERING RELATED POSITION* Position Description: Your responsibilities as a ... full-time positions offer competitive compensation and benefits which include: 24 days PTO and 5 ...

KODE Labs

Senior Integrations Engineer

Detroit, MI · On-site

$103K - $142K/yr

KODE Labs, headquartered in Detroit, Michigan, is seeking to hire a full-time Senior Integration ... Partner with Data Engineers, Analysts, Project Managers, and Client Success teams to ensure ...

SER Metro-Detroit

Youth Data and Program Lead

Detroit, MI · On-site

$53K - $58K/yr

Exempt/ Salaried CLASSIFICATION: Full-Time Regular APPROVED DATE : 7/9/2026 JOB SUMMARY: The Youth Services Data & Programming Lead provides leadership for front-end program operations by integrating ...

Zoetis, Inc.

Head of R&D Data and Digital

Kalamazoo, MI · On-site

Recruit, grow, and lead high-performing teams across data engineering, data analytics, data science ... desired. Full time Regular Colleague Any unsolicited resumes sent to Zoetis from a third party ...

TriMas Corporation

Master Data Manager

Bloomfield, MI · On-site

Salaried Full-Time Function: Information Systems Equal Opportunity Employer Minorities/Women ... Engineering, Quality) to establish data stewardship routines, issue escalation paths, and decision ...

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All JobsData Engineer JobsFull Time Data Engineer JobsFull Time Data Engineer Jobs in Michigan

Full Time Data Engineer information

What is the difference between Full Time Data Engineer vs Data Analyst?

AspectFull Time Data EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related; often certifications in cloud or data toolsBachelor's in Statistics, Math, or related; sometimes certifications in analytics tools
Work EnvironmentTech teams, data infrastructure projects, cloud platformsBusiness units, reporting, data visualization tasks
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing, finance, retail, consulting
Common Search & Comparison IntentUnderstanding roles, skills, and career pathsJob responsibilities, tools, and skills needed

Full Time Data Engineers focus on building and maintaining data infrastructure, pipelines, and systems, often requiring programming and cloud skills. Data Analysts interpret data, create reports, and visualize insights, typically using analytics tools. Both roles are essential in data-driven organizations but differ in technical depth and focus areas.

What are the most commonly searched types of Data Engineer jobs in Michigan? The most popular types of Data Engineer jobs in Michigan are:
What are popular job titles related to Full Time Data Engineer jobs in Michigan? For Full Time Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Full Time Data Engineer jobs in Michigan look for? The top searched job categories for Full Time Data Engineer jobs in Michigan are:
Full Time Data Engineer jobs near you
Infographic showing various Full Time Data Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Developer

Nastech Global

Detroit, MI • On-site

Full-time

Re-posted yesterday

Job description

Job Title: Developer

Location: Detroit, MI/Charlotte, NC/Remote

Job Type: Full time 

Job Description

Datastage Platform Engineer
 
Must Have Technical/Functional Skills
- 3-5 years of experience in DataStage, including designing, developing, and optimizing ETL workflows.
- Strong experience with Cloud Pak for Data (IBM) and cloud-based platforms such as AWS, Azure, or Google Cloud.
- Proven experience in platform and infrastructure engineering, particularly in cloud environments.
- Expertise in Data Engineering and ETL processes with a strong background in database technologies (SQL, NoSQL).
- Proficiency in programming languages such as Python, Java, or Shell scripting for data operations.
- Familiarity with DevOps practices, tools (e.g., Jenkins, Docker, Kubernetes), and infrastructure automation (e.g., Terraform).
- Knowledge of data security, governance, and compliance best practices.
- Strong troubleshooting, problem-solving, and analytical skills.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
 
Roles & Responsibilities:
- Design, develop, and optimize DataStage ETL workflows for large-scale data processing tasks.
- Collaborate with Cloud Pak services to architect and deploy data solutions, ensuring scalability, security, and high availability.
- Participate in the cloud infrastructure management for data pipelines using various cloud services, ensuring efficiency and cost optimization.
- Provide expertise in data engineering best practices for integrating and managing data on hybrid cloud platforms (e.g., IBM Cloud Pak for Data).
- Build and support data platforms by integrating tools and technologies across the data engineering stack.
- Design and implement DevOps pipelines for automation of data operations in cloud environments.
- Ensure data governance, security, and compliance standards are maintained throughout the engineering lifecycle.
- Troubleshoot, diagnose, and resolve any issues with data processing pipelines or infrastructure components.
- Collaborate with cross-functional teams, including data scientists, architects, and business stakeholders, to optimize data solutions.