ICT Data Engineer

About the role

We are seeking a strategic and hands-on Data Engineer to support Purchasing and Finance Analytics and Programs within our North America Data & AI team. Data engineering is the practice of making the appropriate data available to various data consumers (including data scientists, data and business analysts, citizen integrators, and line-of-business users). It is a discipline that involves collaboration across business and IT units.

The ideal candidate combines strong analytical skills with practical experience building scalable analytics, models, and data products in enterprise environments. You will be part of a talented team of data scientists and engineers, driving predictive analytics and early detection of emerging warranty trends using vast datasets across the enterprise.

Responsibilities

• Assemble large, complex sets of data that meet non-functional and functional business requirements.
• Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
• Develop robust ETL (Extract, Transform, Load) processes to integrate data from various sources.
• Identify, design, and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
• Build required infrastructure for optimal extraction, transformation, and loading of data from various data sources using AWS, Azure, DB2, and SQL technologies.
• Build scalable tables to provide actionable insight into key business performance metrics including operational efficiency and customer acquisition.
• Work with stakeholders including the Data Product teams to support their data infrastructure needs while assisting with data-related technical issues.
• Design and maintain data models, schemas, and database structures to support analytical and operational use cases.
• Optimize data storage and retrieval mechanisms for performance and scalability.
• Lead and coordinate cross-functional AI programs from concept to deployment, ensuring alignment with business goals and timelines.
• Collaborate with other data scientists, engineers, and business stakeholders to define and prioritize program objectives.
• Apply statistical analysis and machine learning techniques to solve business and operational problems.
• Partner with business stakeholders to understand requirements and translate them into analytical solutions.
• Translate business needs into actionable AI use cases and technical requirements.
• Build and deploy predictive models to forecast warranty claims, failure rates, and cost trends.
• Ensure data quality, lineage, documentation, and compliance with governance requirements.
• Create dashboards and analytical outputs that drive insight adoption and operational impact.
• Collaborate with business data engineers and platform teams on scalability, performance, and best practices.

Qualifications

Basic Qualifications

• Bachelor’s degree in Data Science, Statistics, Engineering, Computer Science, or related field.
• Minimum 3 years' experience as a Data Scientist, Advanced Analyst, or similar role.
• Strong proficiency in Python, SQL, PySpark, and visualization tools (e.g., Power BI, Foundry Workshop).
• Solid understanding of statistics, exploratory data analysis, and applied machine learning.
• Experience working with large, complex datasets in enterprise environments.
• Ability to communicate analytical findings clearly to technical and non-technical audiences.
• Proven experience delivering end-to-end analytics or data science solutions into production.
• Experience with one or two data and cloud platforms (e.g., Palantir Foundry, Snowflake, Databricks, AWS, Azure, GCP).
• Strong communication and stakeholder engagement skills.

Preferred Qualifications

• Familiarity with data modeling, semantic layers, and enterprise data platforms.
• Industry experience in automotive and manufacturing.
• Exposure to MLOps concepts, model deployment, or monitoring.
• Hands-on experience with Palantir Foundry, Snowflake Intelligence.
• Master’s degree in Data Science, Statistics, Engineering, Computer Science, or related field.

Benefits

Comprehensive Health & Well-being Coverage

• Medical, dental, vision, and prescription drug coverage from day one.
• Employee Assistance Program (EAP) offering confidential support for personal and professional challenges.

Family Building Benefit

• Support for fertility and infertility treatments, adoption services, and gestational surrogacy.

Generous Paid Time Off

• 17+ paid holidays, including shut-down from December 24th through New Year's Day every year.
• Vacation, float & wellbeing days, sick time, and fully paid parental leave.

Competitive Retirement Savings Plans

• Employer match on contributions to 401k, Roth, and Catch-Up plans.
• Employer contribution even if you don’t contribute.

Income Protection & Insurance Options

• Employer-provided and voluntary plan offerings, including life insurance, group accident, critical illness, etc.

Company Vehicle Lease Program

• Eligible employees and their immediate families can participate in the company vehicle lease program, providing access to Stellantis vehicles with insurance, maintenance, and unlimited miles included.
• Exclusive discounts on Stellantis products.

Support for Your Growth and Giving Back

• Tuition reimbursement.
• Student loan refinancing programs.
• 18 paid volunteer hours each year to make a difference in your community.