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Open nowPosted 7 days ago

Data Engineer - Financial Intelligence

Ingram Micro412 open roles

Pay
$98,600 – $157,800 a year
Where
Irvine, CA, United States of America
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Your applicationOpen nowData Engineer - Financial IntelligenceIngram Micro · Irvine, CA, United States of America

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The clock on this job

Early applications get read.

11.8% of postings close within 7 days. Measured by our own scanner across the market. Ingram Micro postings stay open a median of 34 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.8%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 7 days ago

Ingram Micro median: 34 days open

The posting

Accelerate your career. Join the organization that's driving the world's technology and shape the future.

Ingram Micro is a leading technology company for the global information technology ecosystem. With the ability to reach nearly 90% of the global population, we play a vital role in the worldwide IT sales channel, bringing products and services from technology manufacturers and cloud providers to business-to-business technology experts. Our market reach, diverse solutions and services portfolio, and digital platform Ingram Micro Xvantage™ set us apart. Learn more at www.ingrammicro.com

Come join our team where you’ll make technology happen in surprising ways. Let’s shape tomorrow - it’ll be a fun journey!

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.

#LI-SK1

#LI-Hybrid

The typical base pay range for this role across the U.S. is USD $98,600.00 - $157,800.00 per year.

The ranges above reflect the potential annual base pay across the U.S. for all roles; the applicable base pay range will depend on the candidate’s primary work location, pay grade, and variable compensation plan. Individual base pay within each range depends on various factors, in addition to primary work location, such as complexity and responsibility of role, job duties/requirements, and relevant experience and skills. Base pay ranges are reviewed and typically updated each year. Offers are made within the base pay range applicable at the time of hire. New hires starting base pay generally falls in the bottom half (between the minimum and midpoint) of a pay range.

At Ingram Micro certain roles are eligible for additional rewards, including merit increases, annual bonus or sales incentives and long-term incentives. These awards are allocated based on position level and individual performance. U.S.-based employees have access to healthcare benefits, paid time off, parental leave, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, and wellbeing benefits, among others.

This is not a complete listing of the job duties. It’s a representation of the things you will be doing, and you may not perform all these duties.

Please be prepared to pass a drug test and successfully pass a pre-employment (post offer) background check.

Ingram Micro Inc. is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected category under applicable law.

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