Data Engineer - Financial Intelligence

Ingram Micro, Inc.; Irvine (CA); Hybrid; USD 110,000 - 150,000; Full time

Job summary

Ingram Micro is seeking a Data Engineer in Irvine, CA, to design and maintain scalable data pipelines powering Commercial Finance analytics, reporting, and AI. You will work with the finance data science team and stakeholders to enable dashboards and models that drive profitability, revenue quality, and partner value.

The role requires Python and SQL, experience with large datasets, relational databases, data modeling, and knowledge of ERP/CRM tools such as SAP, Microsoft Dynamics, and

Qualifications

• Four-year college degree and 3 years functional experience including a minimum 1-year position specific experience.
• Experience designing and implementing scalable data pipelines for analytics and BI.
• Knowledge of finance concepts and experience supporting P&L analytics is a plus.

Responsibilities

• Design, build, and maintain scalable data pipelines for analytics, reporting, and AI.
• Collaborate with Finance data science and Commercial Finance stakeholders to power dashboards and models.
• Ensure data quality, integrity, and governance across finance data sources.

Skills

Data pipelines

ETL/ELT

Data modeling

Data quality

Large datasets

Relational databases

Performance tuning

Python

SQL

PowerBI

BI architecture

Finance knowledge

P&L analytics

Stakeholder management

Requirements gathering

Automation

SAP

Microsoft Dynamics

OneStream

GCP

Education

Four-year college degree with 3 years of experience including at least 1 year in data engineering/finance analytics

Tools

SAP

Microsoft Dynamics

OneStream

GCP

Job description

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.

Technical Requirements:

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

Commercial Finance Knowledge

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 (OneStream)

Education

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

Business & Soft Skills

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

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.