Apple Inc.
Data Infrastructure Engineer for Lakehouse, Apple Data Platform
Apple Inc., Seattle, Washington, us, 98127
Data Infrastructure Engineer for Lakehouse, Apple Data Platform
Seattle, Washington, United States | Software and Services Description
The ideal candidate will have outstanding communication skills, proven data infrastructure/platform design and implementation capabilities, strong business acumen, and an innate drive to deliver results. They will be a self-starter, comfortable with ambiguity, and will enjoy working in a fast-paced, dynamic environment. Responsibilities include: Build and operate Apple’s largest data platform supporting exabyte scale. Scale and operationalize the largest custom-built, multi-tenant, highly secure, privacy-enabled Data Lakehouse. Ensure the data platform offers reliable, high-quality data with consistent SLAs, along with good monitoring, alerting, 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 designing, scaling, and operating 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 platforms like AWS, S3, EKS, IAM. Contributor to open-source technologies like Spark or Iceberg. Expertise in building Lakehouse architectures for large-scale data platforms. At Apple, base pay is part of our total compensation package and is determined within a range. The base pay range for this role is between $171,600 and $302,200, depending on skills, qualifications, experience, and location. Apple employees also have opportunities for stock programs, benefits including medical and dental coverage, retirement plans, discounts, educational reimbursements, and potential bonuses or relocation support. Learn more about Apple Benefits. Note: Benefits, compensation, and stock programs are subject to eligibility and other terms. Apple is an equal opportunity employer committed to inclusion and diversity. We promote equal opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Learn more about your EEO rights as an applicant.
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Seattle, Washington, United States | Software and Services Description
The ideal candidate will have outstanding communication skills, proven data infrastructure/platform design and implementation capabilities, strong business acumen, and an innate drive to deliver results. They will be a self-starter, comfortable with ambiguity, and will enjoy working in a fast-paced, dynamic environment. Responsibilities include: Build and operate Apple’s largest data platform supporting exabyte scale. Scale and operationalize the largest custom-built, multi-tenant, highly secure, privacy-enabled Data Lakehouse. Ensure the data platform offers reliable, high-quality data with consistent SLAs, along with good monitoring, alerting, 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 designing, scaling, and operating 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 platforms like AWS, S3, EKS, IAM. Contributor to open-source technologies like Spark or Iceberg. Expertise in building Lakehouse architectures for large-scale data platforms. At Apple, base pay is part of our total compensation package and is determined within a range. The base pay range for this role is between $171,600 and $302,200, depending on skills, qualifications, experience, and location. Apple employees also have opportunities for stock programs, benefits including medical and dental coverage, retirement plans, discounts, educational reimbursements, and potential bonuses or relocation support. Learn more about Apple Benefits. Note: Benefits, compensation, and stock programs are subject to eligibility and other terms. Apple is an equal opportunity employer committed to inclusion and diversity. We promote equal opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Learn more about your EEO rights as an applicant.
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