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Data Engineer, Operations Finance

Apple - Sunnyvale, United States of America

Posted Apr 28, 2026

Benefits

Parental leave
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Non-birth-parent leave
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Family-building benefits
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Not verified last checked Jun 13, 2026
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401(k) match
Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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Schedule

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About this role

Data Engineer, Operations Finance Sunnyvale, United States of America 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. 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. Understand and document finance processes in the logistics & supply chain space. Identify and implement process reengineering and automation opportunities to drive efficiency gains. Collaborate with financial analysts, engineers, and operations experts to understand data needs and translate them into scalable data foundational structures. Build

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