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Data Processing 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 ...

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 ...

Pwc

Data Engineer - Senior Associate

Detroit, MI

$77K - $202K/yr

Responsibilities - Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis - Developing and maintaining data pipelines, integration, and ...

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 ...

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 ...

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.

Stefanini Group

PLM Data Migration Engineer

Dearborn, MI

$105K - $126K/yr

Python for AI/ML or data processing (Pandas, Scikit-learn, or LLM-based tools) * Experience with PLM data modeling and transformations * Understanding of CAD structures (BOMs, Item Revisions ...

Stefanini Group

PLM Data Migration Engineer

Dearborn, MI

$105K - $126K/yr

Python for AI/ML or data processing (Pandas, Scikit-learn, or LLM-based tools) * Experience with PLM data modeling and transformations * Understanding of CAD structures (BOMs, Item Revisions ...

FastTek

Data Engineer

Dearborn, MI

$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 ...

Stefanini Group

PLM Data Migration Engineer

Dearborn, MI

$105K - $126K/yr

Python for AI/ML or data processing (Pandas, Scikit-learn, or LLM-based tools) * Experience with PLM data modeling and transformations * Understanding of CAD structures (BOMs, Item Revisions ...

Conclusive Marketing

Data Analyst

Dearborn, MI

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 ...

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 ...

Stefanini

PLM Data Migration Engineer

Dearborn, MI · On-site

Stefanini is looking for a PLM Data Migration Engineer (Dearborn, MI) For quick apply, please reach ... We will also speak with you about the process, including interviews and job offers. About Stefanini ...

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 ...

Rock Connections

Senior Data Engineer

Detroit, MI

$104K - $142K/yr

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 to support analytical and ...

Rocket Limited Partnership

Senior Data Engineer

Detroit, MI · On-site

$104K - $142K/yr

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 to support analytical and ...

Stefanini Group

PLM Data Migration Engineer

Dearborn, MI · On-site

$61 - $66/hr

Python for AI/ML or data processing (Pandas, Scikit-learn, or LLM-based tools) * Experience with PLM data modeling and transformations * Understanding of CAD structures (BOMs, Item Revisions ...

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All JobsData Processing JobsData Processing Jobs in Detroit, MI

Data Processing information

See Detroit, MI salary details

$12

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$34

How much do data processing jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data processing 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 are the key skills and qualifications needed to thrive in the Data Processing position, 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 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 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 is a Data Processing job?

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.

Is AI replacing data entry jobs?

AI is automating many data entry tasks by using machine learning and optical character recognition, which can increase efficiency and reduce manual labor. However, data processing jobs still require human oversight for complex or unstructured data, and roles involving data validation, analysis, and management remain essential. Professionals in data processing should develop skills in AI tools and data management to stay relevant.

What is the highest paying job in data?

In data-related fields, roles such as Data Science Director, Chief Data Officer, or Senior Data Architect tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with extensive experience and relevant certifications.
What are the most commonly searched types of Data Processing jobs in Detroit, MI? The most popular types of Data Processing jobs in Detroit, MI are:
What are popular job titles related to Data Processing jobs in Detroit, MI? For Data Processing jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Data Processing jobs in Detroit, MI look for? The top searched job categories for Data Processing jobs in Detroit, MI are:
What cities near Detroit, MI are hiring for Data Processing jobs? Cities near Detroit, MI with the most Data Processing job openings:
Data Processing jobs near you
Infographic showing various Data Processing job openings in Detroit, MI as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person 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

Re-posted 22 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 128 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

What Stellantis employees say

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