Data Engineer, Operations Finance

Apple • Operating Systems • Laptops • Bachelor's Degree • Python • SQL • 2 days ago
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Salary
≈ $200k – $379k per year (Estimated)
Location
In office (Sunnyvale)
Seniority
Senior · 5+ years exp
Visa
H-1B filings in 12 months: 6,350 · for this role: 239 · green card filings: 37

Confirmed on the employer's own hiring board on Oct 23, 2026. First seen by Alion on Oct 20, 2026. Apple scores A on the Alion truth index.

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Apple

Apple is an American multinational technology company founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne, and headquartered in Cupertino, California. It designs and sells consumer hardware including the iPhone, Mac, iPad, Apple Watch, AirPods and Vision Pro, together with the operating systems and silicon that run them. A growing services division built around the App Store, iCloud, Apple Music, Apple TV+ and Apple Pay now contributes a large share of profit, making Apple one of the most valuable companies in the world.
apple.com • HQ: Cupertino, United States • Smartwatches & Fitness Trackers • Operating Systems • Tablets • Laptops • Smartphones • 5000+ employees • Est. 1976
Tech stack of Apple

The Operations Finance team is looking for a passionate and highly motivated Data Engineer to drive our financial data platform forward. We work with logistics and supply-chain business to understand current and future processes and systems, and its impact on finance activities including costing and forecasting. We also work with engineering teams to build finance data platforms and automation solutions to support logistics business.

If you thrive in a fast-moving, collaborative environment and want to solve complex problems with new technology-driven data systems, we’d love to hear from you.

Description

Operations Finance Data Engineer role requires you understand, document and re-engineer Apple's logistics costing and forecast processes, while bringing strong technical expertise in data querying, dashboard development, and large-scale data analysis. You’ll design and build scalable data models, modern Data & Business solutions leveraging tools such as Dataiku, partner with engineering teams to create Agentic/GenAI applications to improve reporting efficiency, enhance data transparency, and support strategic decision-making.

This is a hands-on role working closely with logistics & supply chain finance business partners and cross-functional engineering teams, while also making recommendations to senior leadership. Your work will strengthen data quality, drive automation, and unlock new capabilities at scale.

Minimum Qualifications

Minimum of 5 years of working experience as a data engineer building end-to-end data pipelines

Bachelor’s degree in Computer Science, Information Systems, or equivalent

Advanced SQL skills for complex transformations, optimization, and troubleshooting

Python proficiency, comfortable writing clean, maintainable Python for data pipelines and automation

Preferred Qualifications

Experience with scheduling systems and CI/CD tools such as Airflow, Jenkins, etc.

Hands-on experience working with relational database management system such as Snowflake, PostgreSQL or similar cloud data warehouses

Supply Chain, Logistics, Finance and Accounting process knowledge is a plus

Excellent communication skills and ability to work independently

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