Data Engineer: Finance Analytics & Data Pipelines

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

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