Data Engineer: Finance & Purchasing Analytics

Stellantisfinancialservices; Auburn Hills (MI); On-site; USD 90,000 - 110,000; Full time

Job summary

Stellantisfinancialservices is seeking a Data Engineer to support Purchasing and Finance Analytics. The role involves assembling data, implementing data pipelines, and collaborating across business units to drive analytics and operational insights.

The ideal candidate has strong analytical skills, experience with data tools, and a Bachelor's degree in a relevant field. Familiarity with cloud platforms and a collaborative mindset are preferred.

Qualifications

• Minimum 3 years’ experience as Data Scientist, Advanced Analyst, or similar role.
• Strong proficiency in Python, SQL, PySpark and visualization tools.
• Solid understanding of statistics, exploratory data analysis, and applied machine learning.

Responsibilities

• Assembling large, complex sets of data that meet business requirements.
• Design, implement, and optimize end-to-end data pipelines.
• Build and deploy predictive models to forecast warranty claims.

Skills

Python

SQL

PySpark

Power BI

Data modeling

Machine learning

Stakeholder engagement

Education

Bachelor’s degree in Data Science, Statistics, Engineering, or related field

Master’s degree in Data Science, Statistics, Engineering, or related field

Tools

AWS

Azure

DB2

SQL technologies

Job description

Stellantisfinancialservices is seeking a Data Engineer to support Purchasing and Finance Analytics. The role involves assembling data, implementing data pipelines, and collaborating across business units to drive analytics and operational insights.

The ideal candidate has strong analytical skills, experience with data tools, and a Bachelor's degree in a relevant field. Familiarity with cloud platforms and a collaborative mindset are preferred.