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Data Visualization Engineer 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 ...

AAA Life Insurance Company

Data Analyst III

Livonia, MI · On-site

$90 - $120/hr

... programming languages (i.e., Python, R, SQL). * Ability to create and interpret reports and dashboards using Power BI, Tableau, or similar data visualization tools. * Proficiency with marketing ...

Magna

Data Engineer, Smart Factory Solutions

Troy, MI · On-site

$95K/yr

Collaborate closely with stakeholders and other engineers to develop new and unique data-driven solutions using Big Data platforms, creative analytical methods, and data visualization techniques ...

Magna

Data Engineer, Smart Factory Solutions

Troy, MI · On-site

$95K/yr

Collaborate closely with stakeholders and other engineers to develop new and unique data-driven solutions using Big Data platforms, creative analytical methods, and data visualization techniques ...

Stem Xpert

Looking for Tibco SpotFire

Plymouth, MI

... on Data Visualization * Capable of converting business requirements into SpotFire Reports and demonstrating the same * Excellent communication and presentation skills * Expert SQL developer (TSQL ...

Ford Motor Company

Senior Data Engineer, CRM

Detroit, MI · On-site

$104K - $142K/yr

As a Senior Data Engineer, you will be a key individual contributor responsible for building ... data visualization and observability. * Hands-on experience with Salesforce data structures ...

Stellantis

Data Scientist

Auburn Hills, MI

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 ...

FastTek

Data Architect Specialist

Dearborn, MI

$58.50 - $75.25/hr

Collaborate with data engineers, architects, analysts, and data scientists to design and deliver ... Familiarity with SQL, Python, data visualization tools, and modern data architectures. * Experience ...

Pwc

Data Strategy-Manager

Detroit, MI · On-site

$99K - $232K/yr

... engineering tools - Proficiency in SQL and data visualization tools - Experience in designing advanced analytics solutions - Coaching and collaborating with team members Travel Requirements Up to 80 ...

Domino's Corporate

Data Scientist

Ann Arbor, MI · On-site

Data visualization tools such as Tableau, Power BI, or matplotlib/seaborn libraries. * Jupyter ... Experience with Fast API creation (i.e. functional programming, automated testing, performance ...

Domino's Pizza

Data Scientist

Ann Arbor, MI

Data visualization tools such as Tableau, Power BI, or matplotlib/seaborn libraries. * Jupyter ... Experience with Fast API creation (i.e. functional programming, automated testing, performance ...

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All JobsData Visualization Engineer JobsData Visualization Engineer Jobs in Detroit, MI

Data Visualization Engineer information

See Detroit, MI salary details

$44.1K

$128.4K

$175.7K

How much do data visualization engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for data visualization engineer in Detroit, MI is $128,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $136,100.00 per year, depending on experience, location, and employer.

What is a data visualization engineer?

A Data Visualization Engineer is responsible for designing, developing, and implementing visual representations of data to help stakeholders understand complex information. They use tools like Tableau, D3.js, Power BI, and Python libraries (e.g., Matplotlib, Seaborn) to create interactive dashboards and reports. Their role involves working with large datasets, ensuring data accuracy, optimizing performance, and collaborating with analysts and developers to enhance decision-making. Strong programming, data analysis, and UX/UI design skills are essential for success in this role.

What are some common challenges faced by data visualization engineers, and how can they overcome them?

Data Visualization Engineers often encounter challenges such as translating complex data into clear, actionable visuals for non-technical stakeholders and ensuring that graphics remain both accurate and engaging. Balancing the needs of different departments, adhering to fluctuating project requirements, and managing large or messy datasets can also be demanding. Successful engineers address these issues by working closely with data analysts, business users, and designers, using feedback to iterate on their work, and staying current with the latest visualization best practices. Proactive communication and strong organization skills further help in meeting deadlines and maintaining quality standards.

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

To thrive as a Data Visualization Engineer, you need a strong grasp of data analysis, visual storytelling, and programming, often supported by a degree in computer science, data science, or a related field. Familiarity with tools like Tableau, Power BI, D3.js, and proficiency in languages such as Python or JavaScript are commonly required, along with experience in databases and dashboard development. Strong communication, problem-solving, and collaboration skills help you effectively transform and present complex data to diverse audiences. These abilities are crucial for creating impactful, user-friendly visualizations that drive informed business decisions.

What are popular job titles related to Data Visualization Engineer jobs in Detroit, MI?

For Data Visualization Engineer jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Data Visualization Engineer jobs in Detroit, MI look for?

The top searched job categories for Data Visualization Engineer jobs in Detroit, MI are:

Data Visualization Engineer jobs near you
Infographic showing various Data Visualization Engineer job openings in Detroit, MI as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,415 per year, or $61.7 per hour.

Data Scientist

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 28 days 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 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

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