Data Engineer

Stellantis; Auburn (AL); On-site; USD 90,000 - 120,000; Full time

Job summary

Stellantis is seeking a Data Engineer located in Auburn, Alabama, to lead delivery of analytics and automation solutions. The candidate will manage projects, collaborate with partners, and drive data initiatives using cloud platforms such as Snowflake and Azure. A Bachelor’s in Computer Science and at least three years of experience are required. Preferred qualifications include a background in finance or cost engineering, with strong project management and communication skills. This role plays a vital part in digital transformation efforts at Stellantis.

Qualifications

• 3+ years of professional experience in technical project delivery, data engineering, or analytics platform implementation.
• Demonstrated project management skills: planning, execution, stakeholder management, risk management, and delivery governance.
• Finance or costing background with understanding of cost drivers or cost engineering processes.

Responsibilities

• Manage end-to-end project execution while collaborating with business and ICT partners.
• Deliver scalable, secure, and high-impact data products.

Skills

Project management skills

Strong communication skills

Analytical mindset

Customer-focused approach

Ability to influence across teams

Education

Bachelor’s degree in Computer Science or related field

Tools

Snowflake

AWS

Azure

Databricks

Microsoft Power Platform

Job description

Overview

Cost Methods, Tools & Data Solutions (CMTD) is seeking a Data Engineer, preferably with a finance or cost engineering background and hands‑on exposure to data engineering to drive delivery of modern analytics, automation, and AI‑enabled solutions. This role will lead cross‑functional initiatives spanning cloud data platforms (Snowflake/AWS/Azure), Databricks, Palantir Foundry, and the Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse). The ideal candidate combines strong project management discipline with technical fluency and an understanding of automotive cost engineering, finance and purchasing data.

You will manage end‑to‑end project execution, while working closely with business and ICT partners to deliver scalable, secure, and high‑impact data products. Experience with agentic AI chatbot development and Generative AI / Microsoft Copilot is strongly preferred.

Basic Qualifications

• Bachelor’s degree in Computer Science (or a related technical field).
• 3+ years of professional experience in technical project delivery, data engineering, or analytics platform implementation.
• Demonstrated project management skills: planning, execution, stakeholder management, risk management, and delivery governance.
• Finance or costing background with understanding of cost drivers, financial models, or cost engineering processes.
• Data engineering exposure: pipelines, transformations, data modeling concepts, and working with data engineering teams.
• Experience with one or more cloud database environments such as Snowflake, AWS, or Azure.
• Hands‑on development and experience with one or more of the following:
  • Snowflake, AWS, or Azure
  • Databricks
  • Palantir Foundry
  • SQL
  • Microsoft Power Platform (Power Apps, Power Automate, Power BI, Dataverse)

Preferred Qualifications

• Automotive industry experience, particularly in cost engineering, manufacturing, or product development.
• Experience with agentic AI chatbot development or internal AI assistants.
• Knowledge of Generative AI and familiarity with Microsoft Copilot capabilities and adoption strategies.
• Experience with enterprise governance for analytics platforms.
• Familiarity with Agile delivery (Scrum/Kanban), DevOps concepts, and structured release management.

Skills & Competencies

• Strong communication skills: ability to explain technical details to non‑technical stakeholders and align decisions quickly.
• Highly organized with strong attention to detail; effective at managing ambiguity and changing priorities.
• Ability to influence across teams without direct authority; strong facilitation and conflict resolution skills.
• Analytical mindset with comfort interpreting data issues (reconciliation, validation, root cause analysis).
• Customer‑focused approach: understands end‑user workflow pain points and drives practical, adoptable solutions.
• Passion for digital transformation, automation, and AI‑driven solutions.