Data Product Engineer

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.\\n\\nThe 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.\\n\\nAs 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.\n\nThis 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.\n\nThe ideal candidate is equally comfortable discussing financial metrics with business leaders and diving into technical discussions around data modeling, transformation pipelines, semantic layers, and metadata platforms.\n\nThis is an emerging function at Apple, which means you will have the rare opportunity to define what it means to be a Data Product Engineer in one of the most complex Finance environments in the world - setting standards, influencing architecture, and building a practice that scales across the organization.

5-10+ years of experience in data, product management, analytics, or engineering roles, preferably in finance or fintech.\nBS/BA degree required in Computer Science, Business, Finance, or a related field.

Strong product mindset with experience owning and scaling data or platform products.\nExperience with cloud data platforms (Snowflake, Databricks)\nStrong understanding of SQL and data transformation frameworks (dbt preferred)\nFamiliarity with data catalogs and governance tools (DataHub, Collibra)\nExposure to semantic layer tools (Cube, AtScale, LookML, or similar)\nGood understanding of finance processes and data (GL, P&L, forecasting, reporting).\nExperience working in governed environments with data quality, lineage, and compliance considerations.\nAbility to bridge business and engineering teams and drive alignment across diverse stakeholders.