Data Engineer - Analytics-Ready Data Pipelines

Stellantis Financial Services; Auburn Hills (MI); On-site; USD 110,000 - 150,000; Full time

Job summary

Stellantis Financial Services in Auburn Hills, MI is seeking a hands-on Data Engineer to design and maintain reliable data pipelines and analytics-ready data products for marketing analytics and customer insights. The role collaborates with data scientists and analysts in a cloud-first environment, applying data quality practices and scalable modeling to deliver trusted data for decisioning.

Candidates should have strong SQL, ETL skills, and experience with Azure/Snowflake/BigQuery, Python, and

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or related field.
• 8+ years of experience in data engineering.
• Strong SQL development skills.
• Experience developing and supporting ETL/ELT pipelines.
• Experience with cloud-based data platforms and modern data architectures (Azure, Snowflake, BigQuery, AWS).
• Proficiency in Python, Spark, or similar data processing technologies.
• Experience with structured and semi-structured data.
• Understanding of data modeling concepts and data warehousing principles.
• Strong analytical and problem-solving skills.
• Ability to collaborate with both technical and business stakeholders.

Responsibilities

• Design, build, and maintain secure, scalable data pipelines for reporting, analytics, and machine learning initiatives.
• Develop and optimize ETL/ELT processes to ingest, transform, and deliver data from multiple sources.
• Support data integration across customer, marketing, digital, and enterprise data domains.
• Implement data quality checks, validation processes, and monitoring solutions.
• Troubleshoot and resolve data pipeline and data quality issues in production environments.
• Build and maintain scalable data models to support analytics and reporting.
• Develop curated datasets for consistent business metrics and KPI reporting.
• Collaborate with analysts and data scientists to support advanced analytics and audience development.
• Assist in implementing data structures that improve usability and reusability.

Skills

SQL development

ETL/ELT pipelines

Python

Spark

Data modeling

Cloud data platforms

Education

Bachelor's degree in Computer Science or related field

Tools

Azure

Snowflake

BigQuery

AWS

Job description

Stellantis Financial Services in Auburn Hills, MI is seeking a hands-on Data Engineer to design and maintain reliable data pipelines and analytics-ready data products for marketing analytics and customer insights. The role collaborates with data scientists and analysts in a cloud-first environment, applying data quality practices and scalable modeling to deliver trusted data for decisioning.

Candidates should have strong SQL, ETL skills, and experience with Azure/Snowflake/BigQuery, Python, and