Senior Data Engineer
Apple
Data Science
Cupertino, CA, USA
Posted on Oct 3, 2024
Summary
Posted:
Weekly Hours: 40
Role Number:200550557
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
Description
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
Minimum Qualifications
- 7+ years engineering experience
- 3+ years experience in the data, platform, and infrastructure space
- Deep understanding of data - storage, processing, technologies, and common challenges
- Ability to understand complex systems and design solutions that balance cost with resilience
- Comfort using both interpreted languages like Python and compiled like Go, Java, Kotlin or Swift
- Experience with Spark, Airflow, Data Lakes and similar technologies
- Talent in creatively and resourcefully solving problems
- Strong communication and ability to effectively influence
Key Qualifications
Preferred Qualifications
- 10+ years engineering experience
- Experience working as a lead or manager of engineering teams
- Expert-level knowledge of distributed systems like Kafka, ZooKeeper, Trino, Flink, Iceberg
- Experience building and operating a data platform from 0-100
- Deep knowledge of AWS
- BS or MS in Engineering/Computer Science
Education & Experience
Additional Requirements
Pay & Benefits
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.