Senior Data Engineer – 200550557 -Cupertino, California, United States

Apple

Imagine what you could do here. The people here at Apple don’t just create products — they create the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it!

Data Solutions & Initiatives serves Apple’s business leaders as they project, manage, and report on business performance. We do this by driving vast improvements for our customers, experiences that delight, platforms that scale to meet the demands of the business, tools that provide crucial productivity and insights.

As Senior Data Engineer, you will be responsible for:
– Designing and building our next-generation data platform
– Deeply understanding Apple data, how the business uses it
– Proactively identifying opportunities to serve the business through technical innovation
– Partnering with engineers and PMs in the Data, DevOps, and SWE spaces
– Delivering high-quality systems that are resilient, scalable, and performant

In this role, you will:

– Partner with leadership to define and prioritize areas of focus
– Influence engineering and PM partners to drive the best solutions for the business
– Design technical solutions that directly impact DSI customers’ efficacy in their roles
– Demonstrate rigor through implementations that: scale to meet business needs, are always available and run efficiently
– Mentor, coach, and otherwise invest in other colleagues
– Document clear requirements, decompose work into meaningful pieces
– Provide clear milestones, dates, and deliver reliably
– Research novel technologies, build proofs of concept, present learnings

7+ years engineering experience3+ years experience in the data, platform, and infrastructure spaceDeep understanding of data – storage, processing, technologies, and common challengesAbility to understand complex systems and design solutions that balance cost with resilienceComfort using both interpreted languages like Python and compiled like Go, Java, Kotlin or SwiftExperience with Spark, Airflow, Data Lakes and similar technologiesTalent in creatively and resourcefully solving problemsStrong communication and ability to effectively influence

 

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