Data Engineer: AI & Cloud Analytics Lead

Stellantisfinancialservices; Auburn Hills (MI); On-site; USD 80,000 - 110,000; Full time

Job summary

Stellantisfinancialservices is seeking a Data Engineer in Auburn Hills, Michigan. This role demands a finance or cost engineering background coupled with hands-on experience in data engineering. You will be pivotal in delivering modern analytics and AI-enabled solutions, managing cross-functional projects across cloud platforms like Snowflake, AWS, and Azure.

The ideal candidate has a Bachelor's degree in Computer Science, along with 3+ years of experience in technical project delivery. Strong organizational skills and the ability to navigate ambiguity are essential.

Qualifications

• 3+ years of professional experience in technical project delivery, data engineering, or analytics platform implementation.
• Finance or costing background with understanding of cost drivers, financial models, or cost engineering processes.
• Experience with cloud database environments such as Snowflake, AWS, or Azure.

Responsibilities

• Drive delivery of modern analytics, automation, and AI-enabled solutions.
• Manage end-to-end project execution while working closely with business and ICT partners.
• Deliver scalable, secure, and high-impact data products.

Skills

Project management skills

Data engineering exposure

Communication skills

Analytical mindset

Education

Bachelor’s degree in Computer Science or related field

Tools

Snowflake

AWS

Azure

Databricks

Microsoft Power Platform

Job description

Stellantisfinancialservices is seeking a Data Engineer in Auburn Hills, Michigan. This role demands a finance or cost engineering background coupled with hands-on experience in data engineering. You will be pivotal in delivering modern analytics and AI-enabled solutions, managing cross-functional projects across cloud platforms like Snowflake, AWS, and Azure.

The ideal candidate has a Bachelor's degree in Computer Science, along with 3+ years of experience in technical project delivery. Strong organizational skills and the ability to navigate ambiguity are essential.