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Data Visualization Engineer Jobs in Detroit, MI (NOW HIRING)

Stellantis

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Experience with monitoring and visualization tools such as Grafana * Familiarity with logging ... engineering, or related field * Experience with Databricks or similar big data platforms

Stellantis

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Experience with monitoring and visualization tools such as Grafana * Familiarity with logging ... engineering, or related field * Experience with Databricks or similar big data platforms

Canopy

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

Demonstrated ability to work with complex data sets, including data cleaning, transformation, and feature engineering. * Experience with data visualization tools such as Tableau, Grafana, or ...

Canopy

Senior Data Analyst

Detroit, MI · Remote

$96K - $132K/yr

Demonstrated ability to work with complex data sets, including data cleaning, transformation, and feature engineering. * Experience with data visualization tools such as Tableau, Grafana, or ...

Corporate Services

Lead Data Scientist

Detroit, MI

Experience working with data visualization tools or Data Visualization Designers in Power BI. * Also, experience with data visualization for analytic models in Rshiny, GGPlot, Qlik, Alteryx, Flask ...

Rock Connections

Senior Data Analyst - Product

Detroit, MI

$85K - $107K/yr

Support the team's transition to Sigma as our primary reporting and visualization platform * Stay ... Conceptual knowledge of software programming fundamentals Preferred Qualifications * Domain ...

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

Deliver insights through clear reporting and data visualization using Tableau and Power BI ... Bachelor's or Master's degree in Computer Science, Applied Mathematics, Statistics, Engineering, or ...

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

Data Visualization Engineer information

See Detroit, MI salary details

$44K

$128.2K

$175.4K

How much do data visualization engineer jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data visualization engineer in Detroit, MI is $128,175.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,100.00 and $135,900.00 per year, depending on experience, location, and employer.

What is a Data Visualization Engineer job?

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 in the Data Visualization Engineer position, 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 July 2026, with employment types broken down into 1% As Needed, 79% Full Time, 11% Part Time, 8% Contract, and 1% Nights. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $118,689 per year, or $57.1 per hour.

ICT Visualization Developer

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 28 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

15th of 44 rated automakers

Job description

A Visualization Developer will be responsible for designing front-end, business partner-facing solutions and delivering dashboard experiences that enable Purchasing and Finance teams to make better, data-driven decisions in support of Stellantis' commercial operations.
Key Responsibilities include but are not limited to the following:
  • Understand and anticipate the needs of business partners to determine the best approach to effectively meet those needs through data visualizations
  • Work closely with business analysts, data scientists, data engineering, and data architects, to develop end to end reporting solutions Explore data to design, develop, and test enterprise-wide reporting and dashboard solutions
  • Visualize and calculate metrics, KPIs from various data sources
  • Conduct knowledge transfer to other IT and business personnel
  • Proactively monitors industry trends and identifies opportunities to implement new technologies, bring innovative solutions
  • Identify, design, and implement internal process improvements including the automation of manual processes, optimizing data delivery, and tuning of application design to maximize performance and end-user experience

Required Qualifications:
  • Bachelor's degree in engineering, Computer Science, Data Science, Purchasing/Finance or similar
  • Minimum of 5 years of professional experience
  • Exceptional communication, organizational, teamwork, and interpersonal skills
  • Minimum of 4 years of hands-on experience in delivering solutions utilizing visualization software tools: Power BI, Qlik Sense, QlikView or equivalent
  • Working knowledge of various data platforms, such as SQL, Snowflake, SAP, Hadoop, Oracle, AWS/Azure or other cloud services
  • Hands-on experience with Palantir Foundry, Snowflake Intelligence
  • Strong understanding of SAP configuration, master data, and business process flow.
  • SAP Analytics, SAP HANA, SAP AI/Joule experience

Preferred Qualifications:
  • Programming and Technical Skills: Experience with programming and scripting languages such as Java, XML, SQL, Python, R, C++, C#, .NET, object-oriented programming, or other domain-specific languages.
  • Data Integration and Flow Management: Experience building and managing data flows from multiple sources, including spreadsheets, relational databases, flat files, cloud platforms, and big data environments.
  • Hands-on experience with ETL, ELT, data ingestion
  • AI/ML Knowledge
  • Project experience within an Agile, Scrum, SAFe framework
  • SAP Analytics, SAP HANA, SAP AI/Joule experience
  • Automotive domain expertise

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