> Markdown version of [/jobs/ext/3805482-data-engineer-financial-intelligence](https://www.wearedevelopers.com/jobs/ext/3805482-data-engineer-financial-intelligence). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data Engineer - Financial Intelligence

- **Company:** Ingram Micro Inc.
- **Location:** Irvine, CA, United States
- **Salary:** $98,600.0 - $157,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Big Data, Computer Programming, Databases, Extract Transform Load (ETL), Relational Databases, Python (Programming Language), Machine Learning, Microsoft Dynamics, Performance Tuning, Query Optimization, Power BI, OneStream, Standard Sql, SAP (Applications), Systems Integration, Cloud Platform System, Data Pipelines
- **Published:** October 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=34dab7cf61b3403c

## About the Role

* 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
+

## Description

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.