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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Engineering Program Manager, Analytics Data Engineering, Commerce Subscriptions - **Company:** Apple Inc. - **Location:** Cupertino, CA, United States - **Experience:** Expert - **Salary:** $172,100.0 - $305,600.0 - **Contract:** Permanent contract - **Skills:** Data Analysis, Apple TV, App Store (IOS), Big Data, Cyber Security, Information Systems, Information Engineering, Dataspaces, Database Queries, Information Technology, Data Analytics, Data Pipelines - **Published:** May 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3430ecc85e654601 ## About the Role Do you have experience in Stakeholder management?, Do you have a passion for harnessing vast amounts of data in innovative ways to make products better? The Apple Services Engineering's Analytics Data Engineering team is an exciting area involving Apple's long-held passion for combining analytical insight and customer privacy. We are the people who power the Wallet, Apple Gift Card, Apple Card, App Store, Apple TV, Apple Music, Apple Fitness+, and other major Apple software products - and we do it on a massive scale! Thanks to Apple's outstanding integration of hardware, software, and services, we collaborate on data across multiple areas yet with a deep dedication to strengthening Apple's commitment to user privacy. Although services are a bigger part of Apple's business than ever before, our teams remain small, nimble, and cross-functional, offering greater exposure to an array of ideas and opportunities., Demonstrate exceptional verbal and written communication, including presentation skills to all levels of the organization Preferred Qualifications Degree in Information Systems, Data Science, Computer Science, Business or Engineering Experience with hands-on SQL querying and Tableau dashboards is a plus Proven success driving projects across engineering, data science, product, privacy and business teams Minimum Qualifications 6+ years of project management experience, specifically within a large-scale data engineering or analytics environment Familiarity with big data technologies and modern data engineering concepts Experience with commerce, subscriptions, and/or customer lifecycle data ecosystems ## Description This Commerce Subscriptions Engineering Program Manager will operate in a multi-functional role within a fast-paced, data-focused environment. You'll collaborate with small, highly skilled data engineering teams and partner groups to develop large-scale data capabilities and solutions to support Apple Services Engineering feature initiatives and deliver high-quality datasets and analytical outcomes. In this role, you'll often juggle multiple complex projects at once, balancing shifting priorities while keeping teams aligned and moving forward. Because our work touches sensitive customer and business data, a deep respect for privacy and a commitment to Apple's industry-leading privacy standards are essential. Successful candidates should bring strong program and project management skills, exceptional communication abilities, and a belief in the power of data-driven results.","responsibilities":"Project manage and partner with other EPMs to coordinate the data engineering track for creating and enhancing data pipelines that support the Analytics Engineering space for Subscriptions within Apple's Commerce business area Track multiple concurrent projects involving scope, requirements, timelines, roadmaps, project plans, resource allocation, stakeholder management, communications, engineering sprint coordination, and risk assessments Collaborate with Engineering, Analytics, Production Support, QA, Information Security, Privacy, and other teams to build and manage products to support Apple Services Engineering data pipelines Drive complex, cross-functional, and comprehensive project plans independently ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Harnessing the Power of Open Source's Newest Technologies](https://www.wearedevelopers.com/videos/1448-harnessing-the-power-of-open-source-s-newest-technologies) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 139 - Soft and hard queries](https://www.wearedevelopers.com/magazine/487-dev-digest-139-soft-and-hard-queries) - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)