ZipRecruiter

Log In

1

Data Processing Jobs in Michigan (NOW HIRING)

OneMagnify

Data Scientist

Detroit, MI · On-site

Use Databricks for large-scale data processing and machine learning workflows Translate requirements into technical solutions * Partner with business and engineering teams to elicit requirements ...

Conclusive Marketing

Data Scientist

Detroit, MI · On-site

Use Databricks for large-scale data processing and machine learning workflows Translate requirements into technical solutions * Partner with business and engineering teams to elicit requirements ...

Corning

$104K - $125K/yr

... processes to improve data reliability and reduce production issues. - Lead the technical delivery of complex Data Engineering projects, including solution design, development, testing, deployment ...

Ford Motor Company

Manager, Data Architecture

Dearborn, MI · On-site

$132K - $250K/yr

Experience with distributed data-processing and streaming technologies, such as Apache Spark, Kafka, Pub/Sub, Dataflow, Flink, or comparable services. * Experience with data governance, metadata ...

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 ...

Apex Systems

Google Cloud Platform Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

This role develops and optimizes data infrastructure, pipelines, and platforms that enable the efficient collection, storage, processing, and analysis of large volumes of structured and unstructured ...

Georgia IT, Inc.

Data Engineer - Detroit, MI

Detroit, MI · On-site

$113K - $135K/yr

The role involves working with relational databases, ETL development, and cloud technologies to ensure efficient data processing and migration to the cloud. Responsibilities : • Experience with SSI ...

Cognizant

Senior Python Data Engineer

Atlanta, MI · On-site

$100K - $114K/yr

Design, build, and optimize data ingestion, transformation, and processing pipelines using modern Python data frameworks. * Develop, deploy, and maintain serverless REST APIs and event-driven ...

New

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/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 ...

Rocket

Senior Data Engineer

Detroit, MI · On-site

$104K - $142K/yr

Responsibilities : • Develop ETL and ELT processes to source and curate data from various enterprise systems, ensuring speed and quality of delivery • Develop tabular and dimensional data models ...

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 ...

KODE Labs

Data Engineer

Detroit, MI · On-site

$104K - $125K/yr

You will be at the forefront of processing and managing a high volume of data, handling billions of data points monthly to deliver insightful metrics and Key Performance Indicators (KPIs). Your ...

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 ...

previous page

Showing results 41-60

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 Sep 13, 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 September 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.

Data Scientist

Detroit, MI • On-site

OneMagnify
Marketing • 201 - 500 employees
Learn more about OneMagnifyexternal

Full-time

Re-posted 24 days ago

Job description

Data Scientist
Role Summary
OneMagnify's Data Scientists sit at the intersection of client strategy and technical delivery, turning complex business questions into models, analyses, and insights that clients actually use to make decisions. You'll work alongside Data Engineering, AI, and cross-functional teams to design and deploy solutions that span the full analytics lifecycle, from data integration and quality to predictive modeling and advanced analytics. This role is a fit for someone who wants to do serious technical work and see it matter in the real world.
The Impact You'll Have
The clients you'll support are making high-stakes decisions about customers, markets, and products. Your models, including forecasting demand, segmenting audiences, and optimizing spend, become the analytical backbone of how they operate. When your work is right, it drives measurable outcomes. When it's wrong, someone notices. That accountability is part of what makes this role interesting.
You'll also contribute to building the analytics capabilities OneMagnify delivers at scale. That means writing code and documentation that others can reproduce, maintain, and extend. Shipping a model is the beginning, not the end. Cross-functional collaboration with engineering, strategy, and delivery teams is part of the daily rhythm, and your ability to translate between technical and business contexts will be used constantly.
The work spans industries and problem types (automotive, retail, financial services, and more) so you'll develop breadth alongside depth. You'll rarely work on the same type of problem twice in a row.
What You'll Do
Build and validate analytical models
  • Design, deploy, and monitor models including forecasting, classification, regression, and segmentation
  • Conduct A/B testing and causal analyses with rigorous experimental design and clear documentation
  • Develop optimization solutions (linear, mixed-integer, multi-objective) and ensure reproducibility across the full model lifecycle

Own data integration and quality
  • Integrate data from multiple sources and develop data-quality reporting that surfaces issues before they become client problems
  • Conduct root-cause analysis on data anomalies and validate database changes prior to release
  • Use Databricks for large-scale data processing and machine learning workflows

Translate requirements into technical solutions
  • Partner with business and engineering teams to elicit requirements, define business rules, and turn them into technical specifications
  • Document solutions clearly enough that someone else can maintain and extend your work
  • Ensure alignment between what clients ask for and what gets built

Communicate findings to varied audiences
  • Synthesize and present analytical findings to internal and external stakeholders, including executive-level audiences, with the judgment to handle complex or sensitive inquiries with care
  • Build metrics and KPI reports that inform real business decisions, not just dashboards that get ignored
  • Prepare visualizations in Tableau and Power BI that make complex outputs accessible

Support collaborative development
  • Use Git/GitLab for version control, reproducibility, and collaborative code development
  • Collaborate with engineering teams to implement MLOps practices including model deployment, monitoring, and end-to-end lifecycle management using tools such as MLflow
  • Adhere to data governance, privacy, and compliance standards across all work

What You'll Need
  • BA/BS in Computer Science, Statistics, Mathematics, MIS, Marketing Research, or a related quantitative field - or equivalent practical experience
  • 2-5+ years of hands-on analytics including predictive modeling, A/B testing, and optimization
  • Advanced SQL and Python; strong ability to query, manipulate, and interpret data from databases and data warehouses
  • Hands-on experience with Databricks for large-scale data processing and machine learning workflows
  • Proficiency with Tableau and/or Power BI for visualization and reporting
  • Experience with Git/GitLab for version control and collaborative development
  • Strong Excel and PowerPoint skills
  • Proven ability to present analyses to management and collaborate with both business and technical stakeholders
  • Experience diagnosing and resolving data-quality issues across multiple platforms
  • Understanding of data governance, privacy, and compliance standards
  • Familiarity with Master Data Management (MDM) concepts and how they apply to data quality and integration

Future-Ready Skills (Nice to Have)
  • Proficiency with SAS or R in an applied analytics environment
  • Familiarity with automotive or VIN data and complex industry-specific data structures
  • Exposure to AI-enabled analytics workflows or automation within a data science context
  • Experience working in integrated marketing, consulting, or digital services environments where analytics supports client-facing delivery

Apply