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Data Processor Jobs in Michigan (NOW HIRING)

Detroit Tigers

Cloud Data Engineer

Detroit, MI · On-site +1

$113.40K - $136.10K/yr

This role will be responsible for designing, managing, and automating data processes across our data architecture to support Baseball Operations initiatives, including the deployment and ...

Detroit Tigers

Cloud Data Engineer

Detroit, MI · On-site

$113.40K - $136.10K/yr

This role will be responsible for designing, managing, and automating data processes across our data architecture to support Baseball Operations initiatives, including the deployment and ...

AEG

Cloud Data Engineer

Detroit, MI · On-site

$113.10K - $135.90K/yr

This role will be responsible for designing, managing, and automating data processes across our data architecture to support Baseball Operations initiatives, including the deployment and ...

Tech Tammina LLC

Data Analyst II

Jackson, MI · On-site

RESPONSIBILITIES · Identify and gather data from multiple sources across the organization to support VoC initiatives. · Assess gaps and inefficiencies in current data processes; recommend and ...

Saransh Inc

GCP Data Engineer with Python

Dearborn, MI · On-site

$105.20K - $126.30K/yr

Exposure to Big Data ecosystems and distributed data processing. Nice to have Technical Skills: * Prior experience with ETL tools like DataStage or Informatica. Responsibilities: * The Data Engineer ...

CFS

Data Engineer

Lansing, MI

$125K - $155K/yr

Experience with real-time analytics and large-scale data processing. * Bonus : Experience with Microsoft Fabric

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108.40K - $130.10K/yr

Design and implement complex data processing pipelines using Apache Spark. * Architectural Leadership: Build scalable, distributed systems that handle high-throughput data streams and large-scale ...

CFS

Data Engineer

Lansing, MI

$125K - $155K/yr

Experience with real-time analytics and large-scale data processing. * Bonus : Experience with Microsoft Fabric

CFS

Data Engineer

Lansing, MI · On-site

$125K - $155K/yr

Experience with real-time analytics and large-scale data processing. * Bonus: Experience with Microsoft Fabric

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108.40K - $130.10K/yr

Design and implement complex data processing pipelines using Apache Spark. • Architectural Leadership: Build scalable, distributed systems that handle high-throughput data streams and large-scale ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

$107.85K - $186.62K/yr

Develop and deploy Natural Language Processing (NLP) models to extract insights from unstructured textual data. Collaborate with cross-functional teams to identify opportunities and develop ...

Stellantis

Data Scientist

Auburn Hills, MI · On-site

... processing and feature engineering • Experience with Power BI or similar tools for data visualization and dashboarding • 2+ years of experience working with finance / pricing / incentives data ...

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 ...

Pwc

Data Engineer - Manager

Detroit, MI

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Manager

Grand Rapids, MI

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

FastTek

Data Engineer

Dearborn, MI

$105.20K - $126.30K/yr

For example, building ETL pipelines that process terabytes of daily event data and transform it for downstream analytics. * Data Warehousing - Experience designing and maintaining data warehouse ...

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Data Processor information

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$10

$17

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How much do data processor jobs pay per hour?

As of May 30, 2026, the average hourly pay for data processor 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 a Data Processor?

A data processor transfers, organizes, and processes personal data for a company. It is typically an entry-level job that serves as a starting point for a career as a data controller. As a data processor, your duties involve processing incoming documents, transferring analog documents into digital data, verifying the information in all documents, updating document formats, and creating detailed reports on company data use and management. Qualifications for this career include excellent computer skills and a bachelor’s degree in computer science or data management.

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

To thrive as a Data Processor, you need strong attention to detail, accuracy in data entry, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database management systems, and sometimes data processing software is typically required. Excellent organizational skills, the ability to follow procedures, and effective time management make someone stand out in this role. These skills ensure data integrity, minimize errors, and support efficient information management within an organization.

What are some common challenges faced by Data Processors and how can they be addressed?

Data Processors often encounter challenges such as managing large volumes of data accurately and efficiently, dealing with inconsistent or incomplete data, and ensuring data privacy and compliance. To address these, it's important to develop strong attention to detail, become proficient with data processing software, and stay updated on relevant data protection regulations. Collaborating closely with data analysts and IT teams can also help resolve data issues and improve workflow efficiency.

What are Data Processors?

Data Processors are professionals or organizations responsible for handling data on behalf of another organization, typically following specific instructions regarding how the data should be processed. Their main duties involve collecting, organizing, inputting, and maintaining data to ensure accuracy and compliance with data protection regulations. Data Processors play a crucial role in industries that require large-scale data management, such as healthcare, finance, and marketing. They must adhere to legal and contractual obligations, particularly regarding the privacy and security of the data they handle.

What is the difference between Data Processor vs Data Entry Clerk?

AspectData ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic certificationsHigh school diploma; no specialized certifications typically needed
Work EnvironmentOffice settings, data centers, or remote workOffice environments, often in administrative settings
Employer & Industry UsageBusinesses, government agencies, financial institutionsCorporations, healthcare, retail, administrative offices
Common Search & ComparisonOften compared for data handling and processing tasksCompared for data input and administrative support roles

While both roles involve handling data, Data Processors typically perform more complex data management and validation tasks, often requiring some technical skills. Data Entry Clerks focus on inputting data accurately and efficiently. Understanding these differences helps in choosing the right role based on skills and career goals.

More about Data Processor jobs
What are popular job titles related to Data Processor jobs in Michigan? For Data Processor jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Processor jobs in Michigan look for? The top searched job categories for Data Processor jobs in Michigan are:
What cities in Michigan are hiring for Data Processor jobs? Cities in Michigan with the most Data Processor job openings:
What are popular job titles related to Data Processor jobs in MI? For Data Processor jobs in MI, the most frequently searched job titles are:
Data Processor jobs near you
Infographic showing various Data Processor job openings in Michigan as of May 2026, with employment types broken down into 5% As Needed, 61% Full Time, 24% Part Time, 5% Temporary, and 5% Contract. Highlights an 100% Physical job distribution, with an average salary of $36,740 per year, or $17.7 per hour.
Cloud Data Engineer

Cloud Data Engineer

Detroit Tigers

Detroit, MI • On-site, Remote

$113.40K - $136.10K/yr

Full-time

Posted 10 days ago

Job description

Job Summary: The Detroit Tigers are seeking a Cloud Data Engineer, Baseball Systems. This role will be responsible for designing, managing, and automating data processes across our data architecture to support Baseball Operations initiatives, including the deployment and operationalization of machine learning models. This position will report to the Manager, Baseball Systems Data.

Key Responsibilities:

  • Design, implement, and maintain our data architecture and processing pipelines at scale.
  • Design, implement, and use data quality assurance frameworks to support the process of identifying inconsistent data patterns.
  • Collaborate with Tigers data engineers and data scientists to implement good data hygiene practices and procedures in our data processes.
  • Work with external data vendors to triage and remedy data quality issues.
  • Automate and execute test cases in data pipelines and manage data issue tracking.
  • Build and maintain MLOps infrastructure to support the deployment, monitoring, and retraining of machine learning models in production.
  • Partner with data scientists to productionize models, ensuring reproducibility, scalability, and reliability across the ML lifecycle.

Minimum Knowledge, Skills and Abilities:

  • Proficiency building data processing pipelines using SQL and Python.
  • Experience with cloud computing, cloud storage, and cloud services.
  • Experience with cloud-based data lakes, data warehouses, and related tooling.
  • Strong understanding of data strategies and practices, such as continuous integration, regression testing, and versioning.
  • Experience building, maintaining, and querying SQL data warehouses built for data science and analytics.
  • Familiarity with MLOps concepts and tooling, including model serving, monitoring, and pipeline orchestration.

Preferred Knowledge, Skills and Abilities:

  • Understanding of data quality frameworks and best practices for implementation.
  • Familiarity with baseball and with current baseball research.
  • Experience using Apache Spark (Databricks on Azure preferred).
  • Experience with Airflow or similar workflow orchestration tools.
  • Effective communication skills with an ability to explain technical concepts to developers and business partners.
  • Experience with DevOps and MLOps practices for CI/CD pipelines, including model versioning and experiment tracking.
  • Experience working with containers and container deployment, including containerized model serving.
  • Familiarity with open-source data quality frameworks.

Working Conditions:

  • Office environment.
  • The location may be based in Detroit or fully remote.
  • Occasional evening, weekend, and holiday hours are required.

All items listed above are illustrative and not comprehensive. They are not contractual in nature and are subject to change at the discretion of Detroit Tigers.


Detroit Tigersis an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.


The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested.

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