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Data Processor Jobs in Michigan (NOW HIRING)

HTC Global Services

Azure & Snowflake Data Engineer

Troy, MI · On-site

$108K - $130K/yr

Develop Python-based data processing and automation solutions. * Support data ingestion, transformation, validation, and delivery across enterprise data platforms. * Apply data warehouse, lakehouse ...

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 ...

Ford Motor Company

Data Anchor

Dearborn, MI · On-site

Deep expertise in big data processing frameworks (e.g., Hadoop, Apache Spark, Kafka). * Hands-on experience with streaming data and Industrial IoT protocols, specifically MQTT. * Advanced database ...

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Develop and optimize ETL/ELT processes to ingest, transform, and deliver data from multiple sources * Support data integration efforts across customer, marketing, digital, and enterprise data domains

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 · On-site

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 · On-site

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 ...

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 ...

MM International

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Design, develop, implement, and maintain robust integrations between WorkForce Software and various internal and external systems, ensuring seamless data flow and process synchronization. This ...

Technomics

Data Analyst

Troy, MI

Experience with PySpark, Spark, or other large-scale data processing technologies. * Experience integrating practical AI capabilities, such as LLMs or machine learning models, into user-facing ...

New

Technomics, Inc.

Data Analyst

Troy, MI · On-site

Experience with PySpark, Spark, or other large-scale data processing technologies. * Experience integrating practical AI capabilities, such as LLMs or machine learning models, into user-facing ...

New

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 ...

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 ...

GreenStone

Loan Processor

Ann Arbor, MI · On-site

$150/day

As a Loan Processor at our organization, you'll have the opportunity to make a significant impact ... You'll be involved in tasks ranging from data entry, loan servicing, property management ...

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All JobsData Processor JobsData Processor Jobs in Michigan

Data Processor information

See Michigan salary details

$10

$17

$30

How much do data processor jobs pay per hour?

As of Aug 22, 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 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.

How much does a data processor earn?

The average salary for a data processor typically ranges from $30,000 to $45,000 per year, depending on experience, location, and industry. Entry-level positions may start lower, while experienced data processors with specialized skills or certifications can earn higher wages. Many roles also offer benefits such as health insurance and paid time off.

What do you do as a data processor?

A data processor collects, organizes, and manages data to ensure accuracy and consistency. They often use software tools like spreadsheets or databases and may perform tasks such as data entry, validation, and updating records to support business operations.
More about Data Processor jobs

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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 August 2026, with employment types broken down into 50% Full Time, and 50% Temporary. Highlights an 100% In-person job distribution, with an average salary of $36,740 per year, or $17.7 per hour.

Azure & Snowflake Data Engineer

HTC Global Services

Troy, MI • On-site

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

Job Title: Azure Data Engineer (Snowflake & Azure Data Factory)
Overview / Summary
Apply your Azure and Snowflake data engineering experience to build scalable pipelines and modern data solutions in a collaborative global delivery environment.
This role is ideal for a hands-on Data Engineer who can independently design, develop, troubleshoot, and support data pipelines using Azure Data Factory, Snowflake, SQL, Python, and Snowpark. You will work across data warehouse and lakehouse environments while collaborating closely with onsite and offshore team members.
Key Responsibilities
  • Design, develop, test, and support scalable data pipelines on Microsoft Azure.
  • Build and maintain data integration workflows using Azure Data Factory.
  • Develop Snowflake solutions using Tasks, Streams, Stored Procedures, Functions, and Snowpark.
  • Write and optimize complex SQL queries, transformations, and data processing logic.
  • Develop Python-based data processing and automation solutions.
  • Support data ingestion, transformation, validation, and delivery across enterprise data platforms.
  • Apply data warehouse, lakehouse, data modeling, and solution design concepts.
  • Troubleshoot data quality, performance, pipeline, and integration issues.
  • Monitor data workflows and resolve failures or processing exceptions.
  • Participate in Agile planning, development, testing, and delivery activities.
  • Collaborate with business, engineering, architecture, and offshore delivery teams.
  • Track open issues during onsite working hours and provide clear handoffs to offshore team members.
  • Maintain technical documentation, data mappings, process flows, and operational support notes.
  • Work independently while communicating risks, dependencies, and progress to the broader team.

Required Qualifications
  • At least four years of experience building data pipelines using Microsoft Azure.
  • Strong hands-on experience with Azure Data Factory.
  • Strong SQL development and query optimization skills.
  • Strong Python programming experience for data engineering and automation.
  • Hands-on Snowflake experience, including Tasks, Streams, Procedures, Functions, and Snowpark.
  • Strong understanding of:
    • Data warehouse architecture
    • Lakehouse architecture
    • Data modeling
    • Data design concepts
    • ETL and ELT processing
  • Experience building and supporting production data pipelines.
  • Experience working within Agile delivery teams.
  • Strong analytical, organizational, and problem-solving skills.
  • Ability to work independently and deliver assigned work with limited supervision.
  • Strong written and verbal communication skills.
  • Ability to coordinate effectively with globally distributed onsite and offshore teams.
  • Ability to provide clear handoffs, status updates, and follow-up on unresolved issues.

Preferred Qualifications
  • Experience optimizing Snowflake performance and resource usage.
  • Experience with Azure Data Lake Storage.
  • Exposure to Azure Synapse Analytics.
  • Experience with Databricks or Spark-based processing.
  • Experience with CI/CD pipelines for data solutions.
  • Experience with Git, Azure DevOps, or similar source control and delivery tools.
  • Experience supporting enterprise data platforms in production.
  • Familiarity with data quality, governance, and monitoring practices.

What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

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