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Data Processing Jobs in Michigan (NOW HIRING)

Converys

Data Architect

East Lansing, MI · On-site

$105K - $143K/yr

Lead the migration from legacy batch processes to automated, event-driven, or CDC-based ingestion patterns. * Implement data quality rules, validation frameworks, and reconciliation logic. * Optimize ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

Experience using PySpark for distributed data processing and feature engineering * Experience with Power BI or similar tools for data visualization and dashboarding * 2+ years of experience working ...

HireITPeople

Data Warehouse Architect 5

Lansing, MI · On-site

Create automation scripts using Python , Shell scripting , and XML for ETL workflows and data processing. Apply Master Data Management (MDM) and data governance principles to ensure consistency ...

WARACLE

Principal Data & AI Consultant

Dundee, MI · On-site

$120.48 - $174.03/hr

Designing, developing, and maintaining robust data pipelines using batch and streaming processing, championing data governance, security, privacy, and legislatory compliance. * Acting as a Trusted ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

In this role, you will work on building scalable and robust data pipelines to process large volumes of manufacturing, repair, software update, call center case, and connected vehicle data to support ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

In this role, you will work on building scalable and robust data pipelines to process large volumes of manufacturing, repair, software update, call center case, and connected vehicle data to support ...

Corning

$104K - $125K/yr

... processes to improve data reliability. - Support cloud data-platform operations, pipeline performance, documentation, and continuous improvement initiatives. - Partner with manufacturing, analytics ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Develops and optimizes data workflows for batch and streaming data processing * Architects and implements data lakehouse solutions following medallion architecture (bronze/silver/gold layers using ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Develops and optimizes data workflows for batch and streaming data processing * Architects and implements data lakehouse solutions following medallion architecture (bronze/silver/gold layers using ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Develops and optimizes data workflows for batch and streaming data processing * Architects and implements data lakehouse solutions following medallion architecture (bronze/silver/gold layers using ...

select minds

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

Design, develop, and optimize large-scale data processing pipelines using Spark, Scala, and Hive. * Build and maintain data ingestion workflows using Apache NiFi. * Develop and support real-time data ...

Select Minds LLC

Big Data Engineer

Lansing, MI · On-site

$110K - $125K/yr

Design, develop, and optimize large-scale data processing pipelines using Spark, Scala, and Hive. * Build and maintain data ingestion workflows using Apache NiFi. * Develop and support real-time data ...

Stellantis

Data Scientist

Auburn Hills, MI

Experience using PySpark for distributed data processing and feature engineering * Experience with Power BI or similar tools for data visualization and dashboarding * 2+ years of experience working ...

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All JobsData Processing JobsData Processing Jobs in Michigan

Data Processing information

See Michigan salary details

$10

$17

$30

How much do data processing jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for data processing in Michigan is $17.66, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $19.47 per hour, depending on experience, location, and employer.

What is data processing?

A Data Processing job involves collecting, organizing, and managing data to ensure accuracy and accessibility. Professionals in this role use software tools to input, clean, analyze, and process data for businesses or organizations. They may also generate reports and automate workflows to streamline data handling. Strong attention to detail and proficiency in data management tools are essential for success in this field.

What are the typical daily responsibilities of someone working in data processing?

A typical day for a Data Processing professional involves entering, validating, and updating records in databases or spreadsheets to ensure data integrity. You may also be responsible for generating reports, cleaning large data sets, and identifying discrepancies or errors for correction. Collaboration with team members or departments is common to clarify data requirements and resolve issues. Staying organized and attentive to detail is essential because the quality of processed data can impact decision-making across the organization.

What are the key skills and qualifications needed to thrive in data processing, and why are they important?

To thrive in Data Processing, you need strong analytical abilities, attention to detail, and proficiency with spreadsheets and database management, often supported by an associate's degree or relevant experience. Familiarity with tools like Microsoft Excel, SQL, or data entry software, as well as certifications such as Certified Data Processor (CDP), are frequently expected. Strong organizational skills, time management, and the ability to troubleshoot problems efficiently are valued soft skills. These competencies are crucial for ensuring data accuracy, meeting deadlines, and supporting smooth information operations within an organization.

What do you do as a data processing?

A data processing professional collects, organizes, and analyzes data to ensure accuracy and usability. They use tools like spreadsheets, databases, and data management software to clean, transform, and prepare data for reporting or decision-making. Attention to detail and knowledge of data handling techniques are essential in this role.

What is a data processing job role?

A data processing job involves collecting, organizing, and converting raw data into a usable format for analysis or reporting. It often requires skills in data management tools, attention to detail, and knowledge of data formats and software such as Excel, SQL, or specialized processing programs.

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

The most popular types of Data Processing jobs in Michigan are:

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

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

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

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

What cities in Michigan are hiring for Data Processing jobs?

Cities in Michigan with the most Data Processing job openings:

Data Processing jobs near you
Infographic showing various Data Processing job openings in Michigan as of August 2026, with employment types broken down into 70% Full Time, 15% Part Time, and 15% Contract. Highlights an 100% In-person job distribution, with an average salary of $36,740 per year, or $17.7 per hour.

Sr. Data Engineer MS Fabric ETL Cloud

RICEFW Technologies, Inc.

Lansing, MI • On-site

$116K - $139K/yr

Contractor

Re-posted 12 days ago

Job description

Job Title: Sr. Data Engineer - MS Fabric / ETL / Cloud
We are looking for a hands-on Data Engineer with strong experience in MS Fabric, ETL/ELT, Data Modelling, and Cloud platforms.
The ideal candidate must be able to work independently from Day One and mentor junior team members.
Key Responsibilities
  • Design and develop ETL/ELT pipelines
  • Perform data orchestration using Azure Data Factory, SSIS, or any cloud orchestration tool
  • Develop and optimize advanced T-SQL programs (stored procedures, views, performance tuning)
  • Build and maintain dimensional models (Star / Snowflake schema) and apply normalization principles
  • Work within the Microsoft Fabric ecosystem (ADF, Databricks, Data Warehouse)
  • Ensure strong alignment with Power BI data modelling
  • Mentor and guide team members

Required Skills
  • Strong T-SQL programming & SQL optimization
  • Experience with MS Fabric
  • Hands-on ETL / ELT development
  • Data Modelling expertise
  • Mandatory experience in at least one Cloud platform (Azure / AWS / GCP)
  • Proven data orchestration experience
  • Ability to work independently

Nice to Have
Python for data processing

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