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Senior Cloud Data Engineer Jobs in Michigan (NOW HIRING)

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 ...

Corning

$104K - $125K/yr

As a Data Engineer, you will build, maintain, and support data pipelines and cloud-based data solutions for Corning's manufacturing and operational environments. You will collaborate with ...

Acrisure

Senior Cloud Engineer

Grand Rapids, MI

$53.50 - $71.50/hr

Acrisure is seeking a Sr. Cloud Engineer based in our Infrastructure Operations group that is responsible for supporting enterprise cloud infrastructure services with a primary focus on Microsoft ...

New

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 deep expertise in Google Cloud Platform services, including BigQuery, Dataflow, Pub/Sub ...

Corning

$104K - $125K/yr

What is your role? As a Senior Data Engineer, you will design, build, optimize, and maintain scalable data pipelines, curated datasets, and cloud-based data solutions supporting Corning ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The Senior Data Engineer / Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and infrastructure using Databricks and related cloud technologies. This ...

General Motors

Senior Data Engineer

Warren, MI · On-site

$99K - $135K/yr

The Role We're looking for a hands-on Senior Data Engineer to build the next generation of ... Experience with cloud data services such as Azure Data Lake, Azure Kubernetes Service, AWS EMR, or ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The Senior Data Engineer / Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and infrastructure using Databricks and related cloud technologies. This ...

Deloitte

GCP Cloud Analytics Engineer

Detroit, MI · On-site

$55.25 - $73.75/hr

As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and ...

Rock Connections

Senior Data Engineer

Detroit, MI · On-site

$104K - $142K/yr

As a Senior Data Engineer, you'll engage in the design, development, and maintenance of data ... Work in a hybrid data environment spanning on-premises and cloud data platforms * Develop ...

Rocket Limited Partnership

Senior Data Engineer

Detroit, MI · On-site

$104K - $142K/yr

As a Senior Data Engineer, you'll engage in the design, development, and maintenance of data ... Work in a hybrid data environment spanning on-premises and cloud data platforms * Develop ...

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 ... Support efficient data workflow management and cloud infrastructure provisioning using ...

Kiongroup

Sr. Cloud Engineer - Azure

Grand Rapids, MI · On-site

$100K - $147K/yr

We are seeking an experienced Sr. Cloud Engineer to join our global cloud team. This individual will be responsible for maintaining cloud-based platforms and solutions for our clients. At KION, you ...

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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 are popular job titles related to Senior Cloud Data Engineer jobs in Michigan?

For Senior Cloud Data Engineer jobs in Michigan, the most frequently searched job titles 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:

Senior Cloud Data Engineer jobs near you
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.

Data Engineer

Kanak Elite Services Inc

Okemos, MI • On-site

$103K - $124K/yr

Contractor

Re-posted 12 days ago

Key responsibilities

  • Participate in the analysis, development, and testing of Data Engineering components.

  • Create data pipelines and ETL workflows to move and transform data from on-premises sources to cloud-based platforms and applications.

  • Assist in configuring and scripting automated data pipelines, stored procedures, and functions to support data flow and integration.

Job description

Hello There,

Wish you a Happy Monday,

My name is Yashmita, and I am a Technical Recruiter at Kanak IT Services LLC. I am reaching out to you regarding the following job opportunity. If you are interested, kindly reply to this email yashmita@kanakits.com with your updated resume.  

JOB TITLE: DATA ENGINEER

LOCATION: HYBRID IN OKEMOS, MI OFFICE 2 DAYS A WEEK + 3 DAYS REMOTE (ONLY LOCALS NEEDED)

INTERVIEW: FACE TO FACE

EXPECTED JOINING TIME (2 WEEKS)

NEED PHOTO ID / LINKEDIN LINK

Description: 

We are looking for a Data Engineer to join our Data Engineering Team. The ideal candidate should have a minimum of 3 years of experience with excellent analytical reasoning and critical thinking skills. The candidate will be a part of a team that creates data pipelines that use change data capture (CDC) mechanisms to move data from on-premises to cloud-based destinations and then transform data to make it available to Customers to consume. The Data Engineering Team also does general extraction, transformation, and load (ETL) work, along with traditional Enterprise Data Warehousing (EDW) work. 

Responsibilities: 

  • Participates in the analysis and development of technical specifications, programming, and testing of Data Engineering components. 
  • Participates in creating data pipelines and ETL workflows to ensure that design and enterprise programming standards and guidelines are followed.  Assist with updating the enterprise standards when gaps are identified. 
  • Follows technology best practices and standards and escalates any issues as deemed appropriate. Follows architecture and design best practices (as guided by the Lead Data Engineer, BI Architect, and Architectural team. 
  • Responsible for assisting in configuration and scripting to implement fully automated data pipelines, stored procedures, and functions, and ETL workflows that allow data to flow from on-premises data sources to cloud-based data platforms (e.g. Snowflake) and application platforms (e.g. Salesforce), where data may be consumed by end customers. 
  • Follows standard change control and configuration management practices. 
  • Participates in 24-hour on-call rotation in support of the platform. 

Required Skills/Qualifications:

  • Database Platforms: Snowflake, Oracle, and SQL Server 
  • OS Platforms: RedHat Enterprise Linux and Windows Server 
  • Languages and Tools: PL/SQL, Python, T-SQL, StreamSets, Snowflake Cloud Data Platform, and Informatica PowerCenter, Informatica IICS or IDMC. 
  • Experience creating and maintaining ETL processes that use Salesforce as a destination. 
  • Drive and desire to automate repeatable processes. 
  • Excellent interpersonal skills and communication, as well as the willingness to collaborate with teams across the organization. 

Desired Skills/Qualifications: 

  • Experience creating and maintaining solutions within Snowflake that involve internal file stages, procedures and functions, tasks, and dynamic tables.
  • Experience creating and working with near-real-time data pipelines between relational sources and destinations. 
  • Experience working with StreamSets Data Collector or similar data streaming/pipelining tools (Fivetran, Striim, Airbyte etc.).