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Foundry Engineer Jobs in Michigan (NOW HIRING)

You will work across platforms such as Snowflake, Palantir Foundry, Power BI, and potentially ... data engineering position - not a dashboard/reporting development role. As Stellantis operates ...

Data Engineer

Auburn Hills, MI

$108K - $130K/yr

Palantir Foundry * SQL * Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse) Preferred Qualifications: * Automotive industry experience, particularly in cost engineering ...

The AI Engineer is responsible for building, deploying, and maintaining AI-powered applications and ... Contribute to architecture decisions on model selection and hosting (e.g., Azure AI Foundry vs ...

The AI Engineer is responsible for building, deploying, and maintaining AI-powered applications and ... Contribute to architecture decisions on model selection and hosting (e.g., Azure AI Foundry vs ...

Engineer EHS Industrial

Muskegon, MI · On-site

$65K - $86K/yr

... foundry. This position partners closely with the Healthy & Safety Manager, Engineering, Maintenance, Operations, and UAW-represented employees to identify hazards, co-lead incident investigations ...

Engineer EHS Industrial

Muskegon, MI

$63K - $85K/yr

... foundry. This position partners closely with the Healthy & Safety Manager, Engineering, Maintenance, Operations, and UAWrepresented employees to identify hazards, colead incident investigations ...

Cloud DevOps Engineer

Livonia, MI · On-site

$49.25 - $67.50/hr

This is a hands-on individual contributor role: the Automation Engineer writes code and scripts ... Deploy, configure, and operate Azure AI Foundry agents, models, and endpoints, connecting them to ...

Cloud DevOps Engineer

Livonia, MI · On-site

$49.25 - $67.50/hr

This is a hands-on individual contributor role: the Automation Engineer writes code and scripts ... Deploy, configure, and operate Azure AI Foundry agents, models, and endpoints, connecting them to ...

Familiarity with modern data platforms (e.g., Snowflake, Palantir Foundry, Databricks, etc ... Comfortable working in a backend engineering role, supporting front-end dashboards without directly ...

Showing results 21-40

Foundry Engineer information

See Michigan salary details

$52.3K

$70.1K

$97.2K

How much do foundry engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for foundry engineer in Michigan is $70,090.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,400.00 and $74,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a foundry engineer?

To excel as a Foundry Engineer, a thorough understanding of metallurgy, casting processes, and materials science is essential, usually backed by a degree in engineering or a related field. Familiarity with computer-aided design (CAD) software, simulation tools, and quality control systems is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help in troubleshooting and collaborating with production teams. These competencies are vital for ensuring efficient, high-quality casting production and for maintaining safety and cost-effectiveness in foundry operations.

What are some common challenges foundry engineers face when working with new alloys or casting techniques?

Foundry Engineers often encounter challenges such as unpredictable material behavior, difficulty in achieving desired mechanical properties, and managing defects like porosity or cracking when working with new alloys or casting processes. Addressing these requires close collaboration with metallurgists, quality assurance teams, and production staff to fine-tune process parameters and conduct thorough testing. Staying updated on industry advancements and utilizing simulation software can also help mitigate these challenges and ensure optimal casting outcomes.

What is the difference between Foundry Engineer vs Metallurgist?

AspectFoundry EngineerMetallurgist
CredentialsBachelor's in Mechanical, Materials, or Metallurgical EngineeringBachelor's or Master's in Metallurgy, Materials Science, or related fields
Work EnvironmentManufacturing plants, foundries, casting facilitiesResearch labs, metallurgical labs, industrial settings
Industry UsageDesigning and improving casting processes, overseeing productionAnalyzing metal properties, developing alloys, quality control

Foundry Engineers focus on designing, managing, and optimizing casting processes in manufacturing environments. Metallurgists analyze metal properties and develop new alloys. While both roles require knowledge of metals, Foundry Engineers are more involved in production processes, whereas Metallurgists focus on material analysis and research.

What is a foundry engineer?

A foundry is a factory or other facility that creates metal castings of products. A foundry engineer designs or upgrades these facilities. They determine the size and strength of the building required based on the client’s needs, ensuring the facility can withstand the high levels of heat needed to make metal molds, utilizes top-of-the-line technologies, and that its construction provides maximum efficiency. Foundry engineers may also redesign or make improvements to older factories to make them more productive. To pursue a career in foundry engineering, you need at least a bachelor’s degree in engineering or a related field. Other qualifications may include experience with metalworks or in the construction industry.

What are the most commonly searched types of Foundry Engineer jobs in Michigan? The most popular types of Foundry Engineer jobs in Michigan are:
What are popular job titles related to Foundry Engineer jobs in Michigan? For Foundry Engineer jobs in Michigan, the most frequently searched job titles are:
What are popular job titles related to Foundry Engineer jobs in MI? For Foundry Engineer jobs in MI, the most frequently searched job titles are:
Infographic showing various Foundry Engineer job openings in Michigan as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $70,090 per year, or $33.7 per hour.

Ontology Engineer

Stellantis

Auburn Hills, MI • On-site

Full-time

Re-posted 11 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 Global Purchasing Business Analytics Team at Stellantis is seeking a Ontology Engineer to build and maintain robust backend data solutions in support of global purchasing analytics. This role is focused on designing scalable data models and developing high-quality, production-grade code in SQL and Python to support our enterprise analytics architecture. You will work across platforms such as Snowflake, Palantir Foundry, Power BI, and potentially Databricks, helping the team evolve toward advanced capabilities, including AI-enhanced insights. While you'll collaborate closely with analysts and business stakeholders, this is a data engineering position - not a dashboard/reporting development role. As Stellantis operates globally with diverse and region-specific systems, you will often need to integrate fragmented data sources and iteratively develop solutions without complete documentation or available SMEs. Success in this role requires initiative, curiosity, and a self-starting mindset - someone who can function as a data entrepreneur: discovering and connecting data across domains to drive business value in a complex enterprise environment. You will work on a globally distributed team. Working hours must include at least 4 hours of overlap with Eastern Standard Time (EST) to ensure strong collaboration.
Key Responsibilities include but not limited to:
  • Develop, optimize, and maintain SQL / PySpark-based data models to support analytical applications in Global Purchasing
  • Partner with data analysts to understand analytical requirements and translate them into well-structured backend data solutions
  • Implement data validation, transformation, and automation logic to ensure high data quality
    Write clean, efficient, and maintainable code using SQL, Python/PySpark, and TypeScript (where applicable)
  • Explore and connect new or unfamiliar datasets in an iterative and self-directed manner, especially where formal documentation or SMEs are unavailable.
  • Collaborate with cross-functional teams to connect complex data into usable data models.
  • Contribute to the adoption of AI-driven tooling and workflows where applicable

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
  • 8 + years of experience in data engineering or related experience
  • Strong SQL coding skills
  • Familiarity with modern data platforms (e.g., Snowflake, Palantir Foundry, Databricks, etc.)
  • Experience with data modeling concepts, star/snowflake schemas, and analytics-ready data design
  • Ability to write clean, maintainable code and troubleshoot performance issues in large datasets
  • Comfortable working in a backend engineering role, supporting front-end dashboards without directly building reports.
  • Solid understanding of data pipelines, ETL/ELT workflows, and version control (e.g., Git)Strong self-learning skills and ability to work independently in ambiguous, data-discovery-driven scenarios.

Preferred Qualifications:
  • Proficiency in Python
  • Experience with TypeScript, especially in the context of Palantir or similar platforms
  • Familiarity with Power BI, but focused on backend data support rather than report creation
  • Exposure to AI/ML workflows or interest in supporting such projects
  • Experience working in Agile and/or cross-functional teams

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