Senior / Staff Data Infrastructure Engineer for Lakehouse, Apple Data Platform
3 weeks ago
Role Number: 200612739-3337 Summary The Apple Data Platform team, part of the Services organization, powers analytics and machine learning across Apple. Our mission is to deliver cutting‑edge, reliable, and user‑friendly infrastructure for data ingestion, storage, processing, and interaction, enabling teams to build data‑intensive applications with ease and success. This role sits within the Data Lakehouse team, a part of the Apple Data Platform. The team provides a fully managed Lakehouse solution powered by Apache Iceberg, Iceberg REST Catalog, and custom-built services to manage data at scale. Our platform supports both analytical and machine learning workloads across Apple, serving key products and organizations including Siri, Search, Media, iCloud, News, Apple Intelligence, and Maps. We continuously innovate to meet evolving customer needs and market trends. We seek engineers passionate about building world‑class infrastructure products. In this role, you will lead the data lakehouse team, guiding team members in both technical and professional growth. You will collaborate closely with cross‑functional teams to lead the planning, execution, and success of technical projects, with a focus on enhancing the experience for Apple’s internal customers. Responsibilities Build and operate Apple’s largest data platform supporting exabyte scale. Scale and operationalize the largest custom build multi‑tenant, highly secure, privacy‑enabled Data Lakehouse. Ensure data platform offers reliable high quality data with consistent SLAs with good monitoring, alerting and incident response and continual investment to reduce tech‑debt. Write code, documentation, participate in code reviews, and mentor other engineers. Minimum Qualifications 10+ years of experience in design and development of scaling, and operation of distributed systems, including technologies like Apache Spark, Kafka, Flink, Iceberg, and Hive, along with resource management systems like Apache Mesos and Kubernetes. Proficient in Java or Scala. Proven expertise in designing and developing scalable, reliable APIs. A hands‑on approach with a willingness to engage in daily technical work. Contributions to Open‑Source projects like Apache Iceberg are a plus. Skilled at debugging complex issues in large‑scale distributed systems. Driven by a passion for building reliable, maintainable, and user‑friendly products and services. Exceptional communication and collaboration skills, with the ability to work effectively across multiple teams and functions. Bachelor’s, Master’s, or Ph.D. in Computer Science or a related technical discipline. Preferred Qualifications Expertise in public cloud platform’s like AWS, S3, EKS, IAM. Contributor to open source technologies like Spark or Iceberg. Expertise in building Lakehouse for large scale data platforms. Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf #J-18808-Ljbffr
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Seattle, United States Apple Inc. Full timeSenior / Staff Data Infrastructure Engineer for Lakehouse, Apple Data Platform Seattle, Washington, United States Software and Services The Apple Data Platform team, part of the Services organization, powers analytics and machine learning across Apple. Our mission is to deliver cutting‑edge, reliable, and user‑friendly infrastructure for data ingestion,...
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Seattle, United States Apple Full timeData Infrastructure Engineer For Lakehouse, Apple Data PlatformThe Apple Data Platform team, part of the Services organization, powers analytics and machine learning across Apple. Our mission is to deliver cutting-edge, reliable, and user-friendly infrastructure for data ingestion, storage, processing, and interaction, enabling teams to build data-intensive...
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Senior Data Lakehouse Platform Engineer Lead
2 weeks ago
Seattle, United States Apple Inc. Full timeA leading technology company is seeking a Senior / Staff Data Infrastructure Engineer to join their Lakehouse team in Seattle. This role involves leading technical projects and collaborating with cross-functional teams to enhance the experience for internal customers. Candidates should have over 10 years of experience in distributed systems, strong...
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Seattle, United States Apple Inc. Full timeSeattle, Washington, United States Software and Services The Apple Data Platform powers analytics, machine learning, and critical decision-making systems across Apple. As the scale of our data and compute grows, cost efficiency and fiscal stewardship are vital to maintaining Apple’s culture of innovation and responsibility. Description We are seeking a...
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Seattle, United States Apple Full timeStaff GenAI Engineer, Apple Data PlatformThe Apple Data Platform team powers data analytics, exploration, and feature engineering that fuel Siri, Search, Music, Maps, iCloud and many other beloved products in the Apple ecosystem. Our mission is to provide engineers and data scientists with an innovative, reliable, secure, and user-friendly platform for...
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Senior Staff Engineer – Data Lakehouse Platform
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Seattle, United States GEICO Full timeAt GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our...
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Staff Engineer – Data Lakehouse Platform
3 weeks ago
Seattle, United States GEICO Full timeGEICO . For more information, please .**At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.****Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while...
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Staff Engineer – Data Lakehouse Platform
3 weeks ago
Seattle, United States GEICO Full timeJoin to apply for the Staff Engineer – Data Lakehouse Platform role at GEICO. This range is provided by GEICO. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $115,000.00/yr - $230,000.00/yr At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities....
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Seattle, WA, United States Apple Full timeJoin us in building the machine learning platform that enables teams at Apple to build Apple Intelligence and many other intelligent experiences across hardware, software and service products.\\As a Machine Learning Data Platform Engineer, you'll design and build the scalable dataset management platform that enables teams across Apple to discover, curate,...
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Seattle, WA, United States Apple Full timeWeekly Hours: 40 Role Number: 200627055-3337 Summary Join us in building the machine learning platform that enables teams at Apple to build Apple Intelligence and many other intelligent experiences across hardware, software and service products. As a Machine Learning Data Platform Engineer, you'll design and build the scalable dataset management platform...
