Hybrid Data Engineer for Finance Analytics & AI

ingrammicro; Irvine (CA); Hybrid; USD 99,000 - 158,000; Full time

Benefits offered by this job

Healthcare benefits

401(k) plan with company match

Paid time off

Job summary

Ingram Micro in Irvine, CA is seeking a Data Engineer to build scalable data pipelines powering Commercial Finance analytics, reporting, and AI. You will partner with Finance data science and stakeholders to deliver data models, dashboards, and insights that drive profitability and partner value.

Candidates should have experience with ETL/ELT pipelines, SQL, Python, and BI tools like Power BI, plus familiarity with SAP ERP, Microsoft Dynamics, and OneStream.

Qualifications

• Four-year college degree and 3+ years of functional experience.
• Experience designing scalable data pipelines for analytics.
• Strong SQL, Python, and data modeling skills.
• Finance/domain knowledge in P&L and margins helpful.

Responsibilities

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

Skills

ETL/ELT pipelines

SQL

Python

Power BI

Data modeling

Stakeholder collaboration

Finance knowledge

Problem solving

Education

Bachelor's degree

Tools

SAP

Microsoft Dynamics

OneStream

Power BI

Job description

Ingram Micro in Irvine, CA is seeking a Data Engineer to build scalable data pipelines powering Commercial Finance analytics, reporting, and AI. You will partner with Finance data science and stakeholders to deliver data models, dashboards, and insights that drive profitability and partner value.

Candidates should have experience with ETL/ELT pipelines, SQL, Python, and BI tools like Power BI, plus familiarity with SAP ERP, Microsoft Dynamics, and OneStream.