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Data Processing 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 ...

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 ...

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 ...

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 ...

Stellantis

Data Engineer

Auburn Hills, MI

$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 ...

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 ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Develops and optimizes data workflows for batch and streaming data processing * Architects and implements data lakehouse solutions following medallion architecture (bronze/silver/gold layers using ...

Whisker

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Develops and optimizes data workflows for batch and streaming data processing * Architects and implements data lakehouse solutions following medallion architecture (bronze/silver/gold layers using ...

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 ...

Bright Vision Technologies

AI Data Engineer

Troy, MI · Remote

$80K - $100K/yr

Deep experience with modern data processing frameworks such as Spark, Ray, or Beam. * Hands-on experience operating petabyte-scale storage and pipeline systems. * Strong understanding of distributed ...

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 ...

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 ...

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 ...

Saanvi Technologies

Architect Senior Associate

Dearborn, MI · On-site

$61.75 - $82.75/hr

Develop and maintain data pipelines, transformation layers, and data models for large-scale data processing. * Write production-quality code to build, optimize, and maintain data systems. * Work ...

Ford Motor Company

Data Engineer

Dearborn, MI

$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.

Zobility

Quality Data Analyst

Auburn Hills, MI · On-site

The role involves building Power BI reports, executing complex queries, and maintaining documentation for data processes to ensure consistency and transparency. Responsibilities : • Develop and ...

Pwc

Data Engineer - Senior Manager

Detroit, MI · On-site

$124K - $280K/yr

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 ...

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Showing results 21-40

All JobsData Processing JobsData Processing Jobs in Detroit, MI

Data Processing information

See Detroit, MI salary details

$12

$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 $20.02, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.07 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 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 August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $41,652 per year, or $20 per hour.

Data Engineer

Stellantis

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Re-posted 4 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

The AI & Data Analytics Team is looking for a Senior Data Engineer to join our 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. You will work at the intersection of software engineering and data science, ensuring that our data architecture is scalable, reliable, and follows industry best practices.
Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to, the following 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.

Basic Qualifications:
  • Bachelors degree in Computer Science, Engineering, Mathematics, or a related technical discipline
  • A minimum of 5 years of experience in the data engineering and software development life cycle. Including:
    • A minimum of 4 years of hands-on experience in building and maintaining production data applications, current experience in both relational and columnar data stores.
    • A minimum of 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 Qualifications:
  • 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

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