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Data Processing Jobs in Detroit, MI (NOW HIRING)

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 ...

AI Data Engineer

Detroit, MI

$113K - $136K/yr

Experience with distributed data processing frameworks such as Apache Spark and Hadoop. * Cloud platforms: Proficiency with at least one major cloud provider (AWS, Azure, or GCP) and its AI data ...

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 ...

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

Strong expertise in SQL and experience working with large-scale databases and data processing frameworks. * Demonstrated ability to work with complex data sets, including data cleaning ...

Senior Data Analyst

Detroit, MI · Remote

$96K - $132K/yr

Strong expertise in SQL and experience working with large-scale databases and data processing frameworks. * Demonstrated ability to work with complex data sets, including data cleaning ...

Master DataOperations & Change Control: - Own end-to-end master data processes (create/change/inactivate) including request intake, validation, approval workflow, and auditability across master data ...

Agentic AI, AI & Data Science Engineer

Detroit, MI · On-site

$113K - $136K/yr

Managing small teams to identify business requirements, functional design, process design ... BigQuery (for data processing and analytics); Cloud Run, Cloud Functions, and GKE (for agent ...

Excel macros-based data processing and charting for reporting. * Use coding skills to analyze data. * Develop checklists for data accuracy and consistency in all reports. * Create reports and charts ...

Excel macros-based data processing and charting for reporting. * Use coding skills to analyze data. * Develop checklists for data accuracy and consistency in all reports. * Create reports and charts ...

Data Architect

Dearborn, MI · On-site

$58.75 - $75.50/hr

Accountable for architecture and information management guidance and governance processes ... Delivers architecture artefacts (business, information, data, process, solution, application ...

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 ...

Showing results 41-60

Data Processing information

See Detroit, MI salary details

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$20

$34

How much do data processing jobs pay per hour?

As of Aug 6, 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 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 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 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 do you do as a data processing?

A data processing professional manages the collection, organization, and transformation of raw data into usable formats. This involves tasks such as data entry, cleaning, validation, and using tools like spreadsheets or specialized software to ensure data accuracy and readiness for analysis or reporting.

How do I get into data processing?

To enter data processing, develop skills in data management, programming languages like Python or SQL, and familiarity with data tools such as Excel or database systems. A relevant degree in computer science, information technology, or related fields can be helpful, and gaining experience through internships or entry-level positions can improve job prospects.
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 cities near Detroit, MI are hiring for Data Processing jobs? Cities near Detroit, MI with the most Data Processing job openings:
Infographic showing various Data Processing job openings in Detroit, MI as of July 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $41,730 per year, or $20.1 per hour.

$85K - $192K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 20 days ago


Job description

Join Ford's mission to modernize automotive manufacturing through innovative data science, intelligent data pipelines, and AI/ML solutions. As a Data Anchor and AI/ML Engineer, you will be at the intersection of the digital and physical-architecting and deploying cutting-edge machine learning models and robust data ecosystems that bring predictive analytics, automation, and intelligence to the factory floor. You will help build the data platforms that power our plants, enabling real-time insights, optimized vehicle scheduling, and resilient operations that scale with the future of mobility.
This is a great opportunity to drive the delivery of key enterprise objectives in building Ford's flagship products. In this role, you will act as a technical anchor, working alongside a unique blend of software engineers, DevOps, automation, controls, and manufacturing business personnel. You will be responsible for ideating, building, and scaling billion-dollar data-driven ideas-leveraging streaming IoT telemetry, massive data lakes, and cutting-edge Generative AI-for the manufacturing of iconic Ford products. This is a rare opportunity to put your signature on how Ford uses data and AI to manufacture vehicles.
  • Education: Master's degree in Data Science, Computer Science, Computer Engineering, Statistics, or a related highly quantitative field.
  • Experience: 5+ years of combined experience in Data Science, Data Engineering, and deploying AI/ML models into production environments.
  • Technical Skills:
    • Strong proficiency in programming languages for data and ML, specifically Python and SQL.
    • 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 experience across relational and non-relational systems, including deep knowledge of BigQuery.
    • Expertise in cloud platforms (GCP preferred) and leveraging advanced AI services like Gemini Enterprise and Vertex AI.
    • Exposure to machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and predictive modeling techniques.
    • Experience exposing ML models via RESTful APIs or microservices.
  • Soft Skills:
    • Proven ability to act as a "Data Anchor," guiding technical architecture and mentoring junior data scientists/engineers.
    • Excellent communication, interpersonal, and presentation skills, with the ability to translate complex concepts to non-technical business stakeholders.
    • Comfortable interacting with global plant IT and business customers to clarify needs and define data requirements.
    • A quick learner, adaptable to changing environments, and highly effective within a diverse global team.
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
  • Immediate medical, dental, vision and prescription drug coverage

  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more

  • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more

  • Vehicle discount program for employees and family members and management leases

  • Tuition assistance

  • Established and active employee resource groups

  • Paid time off for individual and team community service

  • A generous schedule of paid holidays, including the week between Christmas and New Year's Day

  • Paid time off and the option to purchase additional vacation time.

For a detailed look at our benefits, click here: https://fordcareers.co/GSR
This position ranges from salary grade 6-8 and ranges from $85,400-$192,900.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
 
Visa sponsorship is NOT available for this position.
 
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
 
#LI-Onsite #LI-DS2
  • AI/ML & Generative AI: Architecting, developing, and deploying data leveraged through LLM models and toolsets such as Gemini Enterprise to build advanced generative AI solutions.
  • Data Engineering & IIoT Pipelines: Designing factory data standards streamed through Kafka and MQTT for IoT telemetry.
  • Data Anchoring & Strategy: Acting as the technical lead for data initiatives, defining data architecture standards, mentoring team members, and ensuring alignment with enterprise data strategies across hybrid environments.
  • Cloud & Big Data Infrastructure: Designing and maintaining robust data architectures with traditional SQL, BigQuery for enterprise data warehousing, MongoDB for flexible NoSQL document storage, and Hadoop ecosystems for distributed big data processing.
  • Data Modernization: Leading the migration and integration path from legacy on-premise systems (including legacy Hadoop clusters) to modern, cloud-native data platforms on GCP.
  • Domain Expertise: Gaining a deep understanding of the core functionality of Industrial Systems to drive data-driven optimizations and predictive modeling.
  • Model & Data Monitoring: Identifying and implementing monitoring solutions for data drift, model performance, and pipeline health using tools like Dynatrace, Splunk, and native cloud monitoring.

Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982