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Data Processor Jobs in Detroit, MI (NOW HIRING)

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 ...

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 ...

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 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 ...

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 ...

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 ...

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 ...

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 ...

KODE Labs

Staff Data Engineer - Energy Data

Detroit, MI · On-site

$104K - $125K/yr

Experience building scalable data pipelines and working with modern data processing and storage technologies. * Strong problem‑solving skills and the ability to translate complex data‑quality ...

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 ...

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 ...

Reply

Data Engineer

Detroit, MI · On-site

$130K - $150K/yr

If you would like more information about how your data is processed, please contact us. apply for this job

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Showing results 21-40

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 Sep 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 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

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 August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 67% In-person, 16% Hybrid, and 17% Remote job distribution, with an average salary of $41,652 per year, or $20 per hour.

Data Engineer

Auburn Hills, MI • On-site

Stellantis
IT Services
Learn more about Stellantisexternal

$108K - $130K/yr

Full-time

Re-posted 10 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

Job description

Job Summary:
Stellantis is looking for a Senior Data Engineer to join their AI & Data Analytics Team. In this role, you will be responsible for designing, building, and optimizing robust data pipelines that process massive datasets in both batch and real-time, ensuring scalable and reliable data architecture.
Responsibilities:
• Pipeline Development: 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 batch processing.
• Infrastructure as Code: Manage and provision cloud infrastructure using Terraform.
• CI/CD & Automation: Streamline development workflows by implementing and maintaining GitHub Actions for automated testing and deployment.
• Code Quality: Uphold rigorous software engineering standards, including comprehensive unit/integration testing, code reviews, and maintainable documentation.
• Collaboration: Work closely with stakeholders to translate business requirements into technical specifications.
Qualifications:
Required:
• BA/BSc in Computer Science, Engineering, Mathematics, or a related technical discipline
• 5+ years of experience in the data engineering and software development life cycle.
• 4+ years of hands-on experience in building and maintaining production data applications, current experience in both relational and columnar data stores.
• 4+ years of hands-on experience working with AWS cloud services
• Comprehensive experience with one or more programming languages such as Python, Java, or Rust
• Comprehensive experience working with Big Data platforms (i.e., Spark, Google Big Query, Azure, AWS S3, etc.)
• Familiarity with time series database, data streaming applications, event driven architectures, Kafka, Flink, and more
• Experience with workflow management engines (i.e., Airflow, Luigi, Azure Data Factory, etc.)
• Experience with designing and implementing real-time pipelines
• Experience with data quality and validation
• Experience with API design
• Distributed Computing: Deep expertise in Apache Spark (Core, SQL, and Structured Streaming).
• Programming Mastery: Strong proficiency in Scala or Java. You should be comfortable building production-grade applications in a JVM-based environment.
• SQL Proficiency: Advanced knowledge of SQL for data transformation, analysis, and performance tuning.
• DevOps & Tools: Hands-on experience with Terraform for infrastructure management and GitHub Actions for CI/CD pipelines.
• Software Engineering Foundation: Solid understanding of data structures, algorithms, and design patterns. Experience applying 'Clean Code' principles to data engineering.
• Stream Processing: Experience with Apache Flink for low-latency stream processing.
• Scripting: Proficiency in Python for automation, data analysis, or scripting.
• Cloud Platforms: Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks).
• Data Modeling: Familiarity with dimensional modeling, Lakehouse architectures (Delta Lake, Iceberg), or NoSQL databases.
Preferred:
• Comprehensive knowledge of relational database concepts, including data architecture, operational data stores, Interface processes, multidimensional modeling, master data management, and data manipulation
• Expert knowledge and experience with custom ETL design, implementation and maintenance
• Comprehensive experience designing, implementing, and iterating data pipelines using Big Data technologies
• Certification in AWS or other cloud providers
• Experience with Databricks notebook workflows
• Experience with Terraform
Company:
Stellantis is an Franco-Italian-American automotive holding company that manufactures automobiles. Founded in 2021, the company is headquartered in Hoofddorp, NLD, with a team of 10001+ employees. The company is currently Late Stage.

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