1

Senior Cloud Data Engineer Jobs in Michigan (NOW HIRING)

... cloud data engineering, data architecture, and enterprise data platforms. Key Skills * AWS - S3 ... Qualifications * 10+ years of Data Engineering experience with Principal/Senior-level technical ...

New

This is a hands-on senior role requiring deep expertise in cloud data engineering, AI-enabled data platforms, agentic AI architectures, semantic modeling, metadata and context engineering, and modern ...

Senior AI Data Engineer

Grand Rapids, MI · On-site

$121K - $151K/yr

This is a hands-on senior role requiring deep expertise in cloud data engineering, AI-enabled data platforms, agentic AI architectures, semantic modeling, metadata and context engineering, and modern ...

Senior Cloud Database Engineer

Dearborn, MI · On-site

$97K - $132K/yr

Senior Cloud Database Engineer #1059226 * We are seeking a Senior Cloud Database Engineer with 5+ ... Data-as-a-Product: Promote well-documented, discoverable, and consumable datasets. * Security ...

Seeking an experienced Data Engineer to design, build, and maintain our data infrastructure on Google Cloud Platform (GCP). The ideal candidate will possess a strong understanding of data ...

DATA ENGINEER

Wyoming, MI · On-site

$103K - $124K/yr

Exposure to cloud platforms * Strong analytical mindset * Good communication skills Skills SQL, Python Basics, Data Engineering Fundamentals, ETL / ELT Pipelines, Data Ingestion, Data Transformation ...

DATA ENGINEER

Wyoming, MI · On-site

$103K - $124K/yr

Exposure to cloud platforms * Strong analytical mindset * Good communication skills Skills SQL, Python Basics, Data Engineering Fundamentals, ETL / ELT Pipelines, Data Ingestion, Data Transformation ...

GCP Data Engineer

Dearborn, MI · On-site

$80 - $100/hr

GCP Data Engineer - Dearborn, MI Job Details Job ID: 64141 Category: Information Technology ... a Senior Cloud Database Engineer to join our Platform Engineering team. The role focuses on ...

$96K - $130K/yr

Job Purpose Priority Waste is seeking a Senior Data Engineer to own the enterprise data platform ... Deep experience on a major cloud data stack; Azure and Microsoft Fabric preferred. * Experience ...

Senior Data Engineer

Clinton, MI · On-site

$125 - $150/hr

Job Purpose Priority Waste is seeking a Senior Data Engineer to own the enterprise data platform ... Deep experience on a major cloud data stack; Azure and Microsoft Fabric preferred. * Experience ...

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 ...

$104K - $125K/yr

... cloud platforms, distributed processing, manufacturing data, AI/ML, and intelligent automation. - The opportunity to mentor Data Engineers and Senior Data Engineers and help build the next generation ...

Data Engineer

Farmington Hills, MI · On-site

$100 - $125/hr

Job Summary We are looking for a talented Data Engineer to join our team and help design, build ... Familiarity with cloud platforms (AWS, Azure, or GCP) and cloud data services (Redshift, BigQuery ...

Senior Data Engineer

Detroit, MI · On-site

$104K - $142K/yr

As a Senior Data Engineer, you'll design, develop, and maintain data platforms, mentor team members ... cloud data platforms • Develop relational and non-relational data models to meet user and ...

Data Engineer 3

Dearborn, MI · On-site

$105K - $126K/yr

Ford Motor Company is seeking a Senior Technical Engineer to serve as a subject matter expert for ... Cloud data tools (GCP, BigQuery, etc.) * Automotive or industrial manufacturing experience

next page

Showing results 1-20

Senior Cloud Data Engineer information

What is a senior cloud data engineer?

Senior Cloud Data Engineers are experienced professionals who design, build, and maintain data processing systems on cloud platforms. They are responsible for creating scalable, secure, and efficient data pipelines and ensuring data is accessible for analysis and reporting. These engineers often work with tools and services from cloud providers like AWS, Azure, or Google Cloud, and collaborate closely with data scientists, architects, and other stakeholders. Their expertise in both cloud infrastructure and data engineering allows organizations to leverage large volumes of data for business insights.

What are some common challenges faced by senior cloud data engineers when migrating on-premises data systems to the cloud?

Senior Cloud Data Engineers often encounter challenges such as ensuring data integrity and security during migration, minimizing downtime, and handling compatibility issues between legacy systems and cloud platforms. They also need to optimize data pipelines for scalability and cost-effectiveness in the new environment. Close collaboration with stakeholders from IT, security, and business units is crucial to align migration goals and manage expectations throughout the process.

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

To thrive as a Senior Cloud Data Engineer, you need advanced expertise in data engineering, cloud platforms (such as AWS, Azure, or Google Cloud), programming languages (like Python or Scala), and a strong foundation in database technologies. Proficiency with cloud-based tools (e.g., AWS Glue, Azure Data Factory), big data frameworks (such as Spark or Hadoop), and relevant certifications (like AWS Certified Data Analytics) is highly valued. Strong problem-solving skills, effective communication, and the ability to collaborate across teams help you excel in designing and optimizing complex data solutions. These skills ensure scalable, secure, and efficient data pipelines that support business analytics and innovation.

What is the difference between Senior Cloud Data Engineer vs Cloud Data Engineer?

AspectSenior Cloud Data EngineerCloud Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced certifications (e.g., AWS Certified Data Analytics), and expertise in cloud platformsEntry to mid-level experience, foundational certifications, and basic cloud platform knowledge
Work EnvironmentDesigns and oversees complex data pipelines, mentors junior staff, and handles high-level architectureBuilds and maintains data pipelines, performs data integration, and supports data operations
Employer & Industry UsageUsed in large enterprises, tech companies, and data-driven organizationsCommon in startups, mid-sized companies, and organizations adopting cloud data solutions

The main difference between a Senior Cloud Data Engineer and a Cloud Data Engineer lies in experience, responsibilities, and expertise. Senior roles involve leadership, complex architecture, and mentorship, while Cloud Data Engineers focus on building and maintaining data pipelines. Both roles are essential in cloud data environments, but senior positions require more advanced skills and strategic oversight.

What are the most commonly searched types of Cloud Data Engineer jobs in Michigan?

The most popular types of Cloud Data Engineer jobs in Michigan are:

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

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

What cities in Michigan are hiring for Senior Cloud Data Engineer jobs?

Cities in Michigan with the most Senior Cloud Data Engineer job openings:

Infographic showing various Senior Cloud Data Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Principal Data Engineer

Spruce Infotech

Detroit, MI • On-site

$72/hr

Other

Posted 3 days ago

New


Job description

Position: Principal Data Engineer
Location: Detroit, MI 48201 (Hybrid)
Experience: 10+ Years
$72/hr on W2
Job Summary
We are looking for a Principal Data Engineer with strong experience in modern cloud data engineering, data architecture, and enterprise data platforms.
Key Skills
  • AWS - S3, Glue, Lambda, EMR, Redshift
  • Snowflake - Data Warehousing, Data Modeling, Performance Optimization
  • Python & SQL
  • dbt - Data Transformation, Modeling, Testing
  • IBM DataStage - ETL Development & Modernization
  • ETL/ELT - Enterprise Data Integration & Pipeline Development
  • Data Governance - Data Quality, Metadata, Lineage, Security & Compliance
  • CI/CD, Git, DevOps, and data pipeline automation

Responsibilities
  • Lead the design and development of scalable enterprise data platforms and pipelines.
  • Develop and optimize ETL/ELT solutions using AWS, Snowflake, Python, dbt, and DataStage.
  • Drive modernization of legacy data integration platforms.
  • Implement data quality, governance, security, and lineage standards.
  • Provide technical leadership, architecture guidance, and mentoring to data engineering teams.
  • Partner with architects, business stakeholders, analytics, and governance teams.

Qualifications
  • 10+ years of Data Engineering experience with Principal/Senior-level technical leadership.
  • Strong hands-on experience with AWS, Snowflake, Python, dbt, DataStage, and SQL.
  • Deep understanding of data warehousing, data modeling, ETL/ELT, and cloud data architecture.
  • Excellent communication, problem-solving, and technical leadership skills.