Data Engineer - Financial Intelligence

Accelerate your career. Join the organization that’s driving the world's technology and shape the future. Ingram Micro is a leading technology company for the global information technology ecosystem.

With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to business-to-business technology experts. Our market reach, diverse solutions and services portfolio, and digital platform Ingram Micro Xvantage™ set us apart. Learn more at  Come join our team where you’ll make technology happen in surprising ways.

Let’s shape tomorrow - it’ll be a fun journey!

This position is located in our Irvine, California corporate headquarters on a hybrid schedule. With a long-term growth strategy fueled by the Company’s Global Platform Strategy, Ingram Micro’s Commercial Finance organization is tasked with generating and leveraging transformational business insights into accelerated growth and improved profitability. Ingram Micro’s Commercial Finance organization is developing a set of world-class financial models that effectively leverage digital technology, financial model advancements, and end-to-end processes.

We are looking for a Data Engineer who will play a key role in developing the data pipeline that powers Commercial Finance’s analytics, reporting, intelligence, and AI. Working closely with the Finance data science team and broader Commercial Finance stakeholders. The Data Engineer will design and support scalable data pipelines, ensure data quality across finance data sources, and enable dashboards and models that drive decisions on profitability, revenue quality, and partner value.

• Data Engineering Fundamentals Design, build, and maintain scalable data pipelines (ETL/ELT)
• Develop and optimize data models for reporting, analytics, and AI models
• Ensure data quality, integrity, and governance
• Experience handling large datasets and integrating multiple data sources
• Database & Query Skills Expertise with relational databases and working with large granular datasets required Performance tuning and query optimization
• Cloud & Data Platforms Familiarity with GCP (preferred)
• Programming Python (preferred)
• SQL expertise and basic scripting and automation skills required
• Reporting & Analytics Support financial dashboards (including PowerBI) and KPI reporting Understanding of semantic models and business intelligence architecture

• A successful candidate should understand key finance concepts such as: P&L analytics across sales and gross margins
• Common finance data sources include: ERP systems (SAP) CRM systems (Microsoft Dynamics) Financial planning tools (One Stream)

• Four-year college degree and 3 years functional experience including a minimum 1-year position specific experience.

• Stakeholder Management Partner effectively with:
  Commercial Finance Go-To-Market Sales and Vendor teams Requirements Gathering Translate finance and business requirements into technical solutions Problem Solving Perform root-cause analysis Recommend process improvements and automation opportunities

• Translate finance and business requirements into technical solutions
• Problem Solving Perform root-cause analysis
• Recommend process improvements and automation opportunities

For many transactions IM has end-to-end visibility across the supply chain: from upstream manufacturer, through distribution, to resellers, to final end users. This role offers the opportunity to build the data foundations that support high-impact financial analysis driving strategic, operational, and tactical decisions around the world.

#LI-…