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Data Processor Jobs in Detroit, MI (NOW HIRING)

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 ...

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/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 ...

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 ...

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$113K - $135K/yr

Work with Databricks or similar data platforms for data processing and analytics * Implement DevSecOps practices, including SAST and secrets management (HashiCorp Vault) * Implement monitoring and ...

HTC Global Services

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Experience with Python or PySpark for data processing, automation, testing, or analytics. * Exposure to cloud data platforms or cloud services such as AWS, GCP, Snowflake, BigQuery, Databricks, or ...

Megan soft Inc

GCP Data Engineer (W2 Position)

Dearborn, MI · On-site

$105K - $126K/yr

Microservices architecture to deliver large-scale real-time data processing application. * REST APIs for compute, storage, operations, and security. * DevOps tools such as Tekton, GitHub Actions, Git ...

Denso

Data Scientist 2

Southfield, MI · On-site

$90K - $113K/yr

The Data Scientist will leverage our enterprise analytics ecosystem to develop, deploy, and ... Support training and enablement of associates on new analytics tools, systems, and processes.

Denso

Data Scientist 2

Southfield, MI

$90K - $113K/yr

The Data Scientist will leverage our enterprise analytics ecosystem to develop, deploy, and ... Support training and enablement of associates on new analytics tools, systems, and processes.

FastTek

Data Engineer

Dearborn, MI · On-site

$105K - $126K/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 ...

Pwc

Data Engineer - Manager

Detroit, MI · On-site

$99K - $232K/yr

Within our Technology Consulting practice, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

$66K - $186K/yr

Education and/or experience must include: 1. Utilizing SQL for data processing and analysis, including extracting, cleaning, and transforming data in large, complex databases. 2. Extracting ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

$128K - $186K/yr

... data processing pipelines (Spark and Dataflow) and utilizing managed machine learning services. 3. A/B testing design, implementation, and analysis, and experimental design methodologies. 4. MLOps ...

Reliable Software Resources

AI AWS Data Engineer

Detroit, MI · On-site

$104K - $125K/yr

AI AWS Data Engineer - Unstructured Data & Document Processing Location: Detroit, MI Position Summary We are looking for a hands-on AWS Data Engineer to build scalable data ingestion and processing ...

Conclusive Marketing

Data Analyst

Dearborn, MI · On-site

Query, manipulate, and automate large datasets using tools such as SQL, BigQuery, and Alteryx to ensure accurate and efficient data processing * Build and maintain performance metrics and reporting ...

OneMagnify

Data Analyst

Dearborn, MI · On-site

Query, manipulate, and automate large datasets using tools such as SQL, BigQuery, and Alteryx to ensure accurate and efficient data processing * Build and maintain performance metrics and reporting ...

Sonic Title Agency, LLC

Be Seen First

Title Processor

Dearborn, MI · On-site

$20 - $22/hr

Provide title officers with clerical and data entry support, as well as administrative assistant ... mortgage loan processor, and underwriter to be sure all underwriting commitments have been ...

Ford Motor Company

Data Engineer

Dearborn, MI · On-site

$105K - $127K/yr

In this role, you will work on building scalable and robust data pipelines to process large volumes of connected vehicle data to support the Ford vehicle prognostic initiatives. You will have.

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All JobsData Processor JobsData Processor Jobs in Detroit, MI

Data Processor information

See Detroit, MI salary details

$12

$20

$34

How much do data processor jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for data processor in Detroit, MI is $20.06, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $22.12 per hour, depending on experience, location, and employer.

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.

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 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 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.
More about Data Processor jobs
What are popular job titles related to Data Processor jobs in Detroit, MI? For Data Processor jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Data Processor jobs in Detroit, MI look for? The top searched job categories for Data Processor jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Data Processor jobs? Cities near Detroit, MI with the most Data Processor job openings:
Data Processor jobs near you
Infographic showing various Data Processor job openings in Detroit, MI as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,730 per year, or $20.1 per hour.
Data Scientist

Data Scientist

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 19 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 127 frontline employees who took The Breakroom Quiz

15th of 44 rated automakers

Job description

The Commercial Analytics team is looking for a Data Scientist to join our team. Your mission is to build and scale trusted data science products that power marketing performance measurement while promoting data science best practices, actionable recommendations and a high bar for model quality and reliability.
Data scientists work closely with data engineers, analysts, and business teams to design analytics solutions, implement advanced algorithms and evaluate the performance of use cases. Ideal candidates are self-motivated, inquisitive and creative, with a strong desire to solve real-world problems using data.
In this role, you will:
  • Collaborate with business stakeholders to identify high-impact opportunities for statistical and machine learning use cases
  • Design and implement econometric and causal inference models to quantify the impact of vehicle incentives, pricing, and commercial levers on sales, margin, and demand
  • Estimate and interpret price and incentive elasticities across brands, segments, and regions, informing pricing and go-to-market strategies
  • Develop defensible, well-documented methodologies that stand up to executive scrutiny and support strategic decision-making
  • Communicate complex results clearly to both technical and non-technical audiences
  • Partner with Data Engineers to define and source relevant data features for modeling as well as drive adoption and a deep understanding of proper data usage
  • Develop and validate predictive models using techniques such as regression, random forests, gradient boosting, causal modeling and neural networks
  • Communicate findings and recommendations to non-technical audiences through clear visualizations and storytelling
  • Contribute to the maintenance of models in production environments, ensuring scalability and performance
  • Conduct peer code reviews and support best practices in model development and deployment
  • Collaborate with both external and internal resources to support business requirements and key KPI measurement

Basic Qualifications:
  • Bachelor's degree in a quantitative discipline (e.g., Statistics, Economics or other quantitative field)
  • Minimum of 5 years of experience in data science, econometrics or a related field
  • Proficiency in Python and SQL
  • Hands-on experience with big data and cloud platforms such as Databricks, Snowflake or Spark
  • Exposure to MLOps best practices, including model versioning, monitoring, and deployment pipelines
  • Strong grasp of machine learning algorithms like:
    • Regression (linear, logistic)
    • Causal Inference Models (Difference-in Difference, Regression Discontinuity Design)
  • Experience with experimental design, and statistical inference
  • Ability to translate complex data into actionable insights for business stakeholders

Preferred Qualifications:
  • Master's degree in a quantitative discipline (e.g., Statistics, Economics or other quantitative field)
  • Automotive experience
  • Tree-based models (Random Forest, XGBoost, LightGBM)
  • Clustering and dimensionality reduction (e.g., LDA, PCA, Dynamic Time Warping)
  • 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 with finance / pricing / incentives data
  • 2+ years of experience working with sales / commercial data
  • Strong communication and storytelling skills with the ability to influence decision-makers
  • Understanding of CI/CD workflows for automating model testing and deployment
  • Experience working with real-time data pipelines and event-driven architectures

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