Data Infrastructure Engineer for Lakehouse, Apple Data Platform

Apple Inc.; Seattle (WA); On-site; USD 166,000 - 297,000; Full time

Job summary

A leading company seeks a Data Infrastructure Engineer for their Seattle office to design and implement large-scale data platforms. The ideal candidate will support the development of a secure, multi-tenant Data Lakehouse, ensuring high-quality data and performance across systems. This position demands a passion for tech and strong collaboration skills in a fast-growing environment.

Benefits

Stock participation

Medical and dental coverage

Retirement plans

Educational reimbursement

Additional bonuses available

Qualifications

• 10+ years in designing and operating scalable systems.
• Proficient in Java or Scala.
• Experience with Kubernetes and Apache ecosystems.

Responsibilities

• Build and operate a large data platform.
• Scale a secure, privacy-enabled Data Lakehouse.
• Participate in code reviews and mentorship.

Skills

Communication

Operationalization

Debugging

API Development

Collaboration

Hands-on Technical Work

Tools

Apache Spark

Kafka

Flink

Iceberg

Hive

Apache Mesos

Kubernetes

AWS

S3

EKS

IAM

Job description

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. He/she will be a self-starter, comfortable with ambiguity, and will enjoy working in a fast-paced, dynamic environment. Responsibilities will include:

1. Build and operate Apple’s largest data platform supporting exabyte scale.
2. Scale and operationalize the largest custom-built, multi-tenant, highly secure, privacy-enabled Data Lakehouse.
3. 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.
4. Write code, documentation, participate in code reviews, and mentor other engineers.

Minimum Qualifications

• 10+ years of experience in designing and operating scalable 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.
• Passionate about 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.

Preferred Qualifications

• Expertise in public cloud platforms like AWS, S3, EKS, IAM.
• Contributor to open-source technologies like Spark or Iceberg.
• Experience 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 $166,600 and $296,300, depending on skills, qualifications, experience, and location.

Apple employees have opportunities for stock participation, benefits including medical and dental coverage, retirement plans, discounts, educational reimbursement, and more. Additional bonuses or relocation assistance may be available.

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 for all applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other protected characteristics.