Data Product Engineer
Apple - Austin, United States of America
Posted May 13, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Data Product Engineer Austin, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what we could accomplish. The Finance Transformation team is evolving from a project-centric delivery model to a product-led mindset, ensuring our internal tools are as intuitive and innovative as the products Apple sells. We are looking for a Data Product Engineer who thrives at the intersection of business needs and technical solutions. As a Data Product Engineer within Apple's Finance organization, you will own the strategy, definition, and delivery of data products - the curated, governed, high-quality data assets that power everything from internal reporting and audit compliance to AI-driven forecasting and intelligent business operations. We are looking for a Data Product Engineer who combines strong product thinking with a solid engineering foundation to build and scale high-impact data products for Finance. This role sits at the intersection of finance, data engineering, and analytics. You will define and drive the vision, roadmap, and delivery of finance data products that are reliable, governed, and aligned to business outcomes. You will work closely with finance stakeholders (FP&A, controllership, treasury), data engineers, architects, and governance teams to ensure data products are not only well-designed but also successfully adopted. The ideal candidate is equally comfortable discussing financial metrics with business leaders and diving into technical discussions around data modeling, transformation pipelines, semantic
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