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Marketing Data Engineer Jobs in Michigan (NOW HIRING)

OneMagnify

Data Scientist

Detroit, MI · On-site

$120 - $170/hr

You'll work alongside Data Engineering, AI, and cross‑functional teams to design and deploy ... BA/BS in Computer Science, Statistics, Mathematics, MIS, Marketing Research, or a related ...

OneMagnify

Data Scientist

Detroit, MI · On-site

You'll work alongside Data Engineering, AI, and cross-functional teams to design and deploy ... BA/BS in Computer Science, Statistics, Mathematics, MIS, Marketing Research, or a related ...

Inficare Technologies

AI Specialist

Pontiac, MI · On-site

$80/hr

AI Specialist Location: Pontiac, MI Job Type: Contract Required Skills * Programming: Python, R * ML Frameworks: TensorFlow, PyTorch, Keras, Scikit-learn * Big Data & Analytics: Apache Spark ...

Stellantis

Data Scientist

Auburn Hills, MI

Your mission is to build and scale trusted data science products that power marketing performance ... Data scientists work closely with data engineers, analysts, and business teams to design analytics ...

Team Velocity

Senior Full Stack .NET Developer

Detroit, MI · On-site

$150K - $175K/yr

Design, develop, and maintain scalable applications and services for our marketing, data processing ... Mentor and guide other developers through code reviews, technical discussions, and best practices

New

Kobie Marketing

Director, Product

Detroit, MI · On-site

$230K - $241K/yr

... marketing analytics lifecycle, in ways that are durable and commercially scalable. * Partner with Data Engineering and Data Science to ensure AI and ML outputs - propensity models, segment ...

General Motors

Staff Data Scientist

Warren, MI · On-site

... Service, Marketing, and Global Markets. This is a hands-on Staff Data Scientist role for an ... Data and Feature Engineering * Define data requirements and partner with data engineering and ...

General Motors

Staff Data Scientist

Warren, MI · On-site

... Service, Marketing, and Global Markets. This is a hands-on Staff Data Scientist role for an ... Data and Feature Engineering * Define data requirements and partner with data engineering and ...

Stellantis

Ontology Engineer

Auburn Hills, MI · On-site

This role is focused on designing scalable data models and developing high-quality, production ... Marketing, Economics, International Business, Accounting, Entrepreneurship, Engineering, or ...

AAA Life Insurance Company

Data Analyst III

Livonia, MI · On-site

$90 - $120/hr

A minimum of five years' experience working as a Data Analyst, Marketing Analyst, or similar role. * Extensive experience in data analysis tools and programming languages (i.e., Python, R, SQL)

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Showing results 41-60

All JobsMarketing Data Engineer JobsMarketing Data Engineer Jobs in Michigan

Marketing Data Engineer information

See Michigan salary details

$38.8K

$113.1K

$154.7K

How much do marketing data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for marketing data engineer in Michigan is $113,060.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,800.00 and $119,800.00 per year, depending on experience, location, and employer.

What is a marketing data engineer?

Marketing Data Engineers are professionals who design, build, and manage data systems that enable marketing teams to collect, process, and analyze large volumes of marketing data. They work at the intersection of data engineering and marketing analytics, ensuring that data pipelines are robust, scalable, and optimized for marketing use cases. Their work helps organizations make informed marketing decisions by providing reliable and accessible data from multiple sources, such as web analytics, CRM systems, and advertising platforms. Marketing Data Engineers often collaborate closely with data analysts, data scientists, and marketers to create solutions that drive business growth.

How do marketing data engineers typically collaborate with marketing teams to drive data-driven campaigns?

Marketing Data Engineers work closely with marketing teams by designing data pipelines that collect and process campaign performance data, ensuring marketers have timely and accurate insights. They often participate in cross-functional meetings to understand campaign goals and translate them into data requirements, dashboards, or reports. This collaboration enables marketers to make informed decisions, optimize strategies, and measure ROI effectively. Regular communication and a clear understanding of marketing objectives are key to ensuring the technical solutions provided align with business needs.

What are the key skills and qualifications needed to thrive as a marketing data engineer, and why are they important?

To thrive as a Marketing Data Engineer, you need strong skills in data modeling, SQL, and data pipeline development, often supported by a degree in computer science, engineering, or a related field. Experience with ETL tools, cloud data platforms (like AWS or GCP), and marketing analytics systems such as Google Analytics is typically required. Excellent problem-solving, communication, and collaboration skills help you translate business requirements into technical solutions and work effectively with marketing teams. These abilities ensure accurate, actionable insights that drive data-driven marketing strategies and business growth.

What is the difference between Marketing Data Engineer vs Data Analyst?

AspectMarketing Data EngineerData Analyst
Primary FocusBuilding and maintaining data pipelines for marketing dataAnalyzing data to generate insights and reports
Skills & CertificationsSQL, ETL, data warehousing, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams within marketing or analytics departmentsBusiness units, marketing teams, or analytics departments
Tools UsedApache Spark, Hadoop, cloud data servicesTableau, Power BI, Excel

The main difference is that Marketing Data Engineers focus on creating and managing the infrastructure for marketing data, while Data Analysts interpret that data to provide actionable insights. Both roles often collaborate but serve distinct functions within data-driven marketing strategies.

What are popular job titles related to Marketing Data Engineer jobs in Michigan?

For Marketing Data Engineer jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Marketing Data Engineer jobs in Michigan look for?

The top searched job categories for Marketing Data Engineer jobs in Michigan are:

What cities in Michigan are hiring for Marketing Data Engineer jobs?

Cities in Michigan with the most Marketing Data Engineer job openings:

Marketing Data Engineer jobs near you
Infographic showing various Marketing Data Engineer job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $113,060 per year, or $54.4 per hour.

Data Scientist AI Execution

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 3 hours ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

15th of 45 rated automakers

Job description

The Data Scientist - AI Execution is responsible for designing, building, and iterating AI and machine-learning solutions that power Purchasing data products and automation use cases.
Working within Product Owner-led teams, this role enables data-driven decisioning and intelligent automation while operating within established governance, process, and delivery frameworks.
The role ensures that AI capabilities are robust, explainable, and scalable, without fragmenting product ownership or duplicating governance and delivery responsibilities.
Key Accountabilities include but not limited to:
  • Design and implement AI/ML models aligned to Purchasing use cases (e.g., recommendations, scoring, prediction, classification)
  • Partner with Product Owners to translate business needs into executable model logic and expected outcomes
  • Collaborate with Data Engineers to ensure models are production-ready, scalable, and performant
  • Work closely with Data Analysts, Front-End Developers, and UI/UX roles to integrate AI outputs into user-facing experiences, including dashboards, chatbots, and AI-assisted workflows
  • Support multiple AI interaction patterns, including embedded intelligence, conversational interfaces, and emerging agentic and agent-to-agent solutions
  • Validate model outcomes, explainability, and performance, supporting responsible AI practices
  • Contribute to AI reuse, standardization, and patterns across Purchasing initiatives

Basic Qualifications:
  • Bachelor of Science degree in Business, Business Administration, Supply Chain Management, Finance, Marketing, Economics, International Business, Accounting, Entrepreneurship, Engineering, or equivalent; Other technical degrees with business background also considered
  • 10+ years of experience in the automotive industry or IT.
  • Strong English verbal and written communication skills
  • Ability to manage multiple services or initiatives with varying complexity
  • Proficiency with Microsoft PowerPoint, Excel, and Word
  • Ability to work effectively across global teams and organizational levels
  • Proven ability to lead cross-functional teams and drive purchasing strategies in a fast-paced environment
  • Strong negotiation, analytical, and problem-solving skills
  • Highly proactive and visionary, with a track record of driving innovation and continuous improvement
  • Ability to communicate effectively with international teams and suppliers

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