Data Engineer - Financial Intelligence

Ingram Micro • Irvine, CA

1d • $98,600 - $157,800

About The Position

Ingram Micro’s Commercial Finance organization is developing financial models that use digital technology, financial modeling, and end-to-end processes to support growth and profitability. The Data Engineer will develop and support the data pipelines that power Commercial Finance analytics, reporting, intelligence, and AI. Working with the Finance data science team and Commercial Finance stakeholders, this role will build scalable pipelines, maintain data quality across finance sources, and enable dashboards and models used to make decisions about profitability, revenue quality, and partner value. Finance experience is preferred but not required; strong data engineering fundamentals and willingness to learn the business are essential.

The role offers the opportunity to build data foundations for high-impact financial analysis supporting strategic, operational, and tactical decisions around the world. The stated U.S. base pay range is USD $98,600 to $157,800 per year, with the applicable range depending on work location, pay grade, and other factors. Certain roles may also be eligible for merit increases, annual bonuses or sales incentives, and long-term incentives.

Requirements

• Three to five years of experience.
• Four-year college degree and three years of functional experience, including a minimum of one year of position-specific experience.
• Expertise with relational databases and experience working with large granular datasets.
• SQL expertise and basic scripting and automation skills.
• Strong data engineering fundamentals.
• Understanding of semantic models and business intelligence architecture.
• Ability to translate finance and business requirements into technical solutions.
• Ability to perform root-cause analysis and identify process improvements and automation opportunities.
• Willingness to learn the business.

Nice To Haves

• Prior finance experience.
• Familiarity with GCP.
• Python experience.
• Understanding of P&L analytics across sales and gross margins, and common finance data sources such as SAP, Microsoft Dynamics, and OneStream.

Responsibilities

• Design, build, and maintain scalable ETL/ELT data pipelines.
• Develop and optimize data models for reporting, analytics, and AI models.
• Ensure data quality, integrity, and governance.
• Handle large datasets and integrate multiple data sources.
• Tune performance and optimize queries.
• Support financial dashboards, including Power BI, and KPI reporting.
• Translate finance and business requirements into technical solutions.
• Perform root-cause analysis and recommend process improvements and automation opportunities.
• Partner effectively with Commercial Finance and Go-To-Market Sales and Vendor teams.

Benefits

• Healthcare benefits
• Paid time off
• Parental leave
• 401(k) plan and company match
• Short-term and long-term disability coverage
• Basic life insurance
• Wellbeing benefits
• Potential merit increases, annual bonus or sales incentives, and long-term incentives for eligible roles

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level