About the role

Aplyr's Quick Take

This role is for a senior software data engineer focused on building and optimizing data processing pipelines for Apple's products like Siri and Search. You'll work with large datasets, using technologies like Flink and Spark, to ensure data quality and performance. It's primarily an individual contributor role with a strong emphasis on collaboration across teams.

Good fit

Ideal candidates have 7+ years in data engineering, with extensive experience in distributed systems and stream/batch processing. A background in software development and a collaborative work style will help you thrive here.

Worth noting

The role involves working with petabytes of data and requires a strong commitment to data quality and user impact. The focus on machine learning applications suggests opportunities for innovation, but the spec lacks detail on specific day-to-day tasks.

Summary

Are you excited about using data to shape the experience of products used by hundreds of millions of people around the world? The Evaluation Data Engineering team, part of Apple’s SWE organization, builds the scalable and reliable data platform that powers Siri, Search, and Machine Learning across Apple. We’re looking for collaborative and mission-driven software engineers who care deeply about data quality, user impact, and building at scale. If you’re passionate about tackling complex data challenges, eager to work with petabytes of data, and inspired by Apple’s commitment to privacy and innovation, we’d love to hear from you.

Description

In this role, you’ll work cross-functionally across product and data science teams to build large-scale stream and batch processing data pipelines that power Analytics, Experimentation, and Machine Learning. You will design a unified and groundbreaking data processing framework using Flink, and/or Spark. Your work will focus on optimizing performance, ensuring data quality, and contributing to a long-term vision that extends the framework’s capabilities to new user scenarios and groundbreaking machine learning applications. You will collaborate closely with Siri, Search, and other teams to design solutions that transform raw data into datasets that drive innovation. You’ll automate dataset lifecycles with strong quality standards and help partners confidently use the data for product insights.

Minimum Qualifications

7+ years of experience designing, building, and maintaining distributed data processing systems at scale. 5+ years of hands-on experience with stream and/or batch processing technologies such as Flink, Spark, Kafka, Airflow, Iceberg, and Trino. 2-3 years of experience in full-stack development Proficient in at least one modern programming language (e.g., Java, Scala, and Python). MS or BS in Computer Science, Engineering, Math, Statistics, or a related field, or equivalent practical experience in data engineering.

Preferred Qualifications

Strong in algorithms, data structures, data modeling, and SQL, with experience working on large-scale, complex, and high-dimensional datasets. Experience with machine learning algorithms or pipelines, particularly in the context of data engineering. Experience supporting ML engineers or data scientists with feature engineering or model data pipelines is a plus. Familiarity with testing tools and methodologies for validating large-scale, distributed data systems (e.g., data quality checks, pipeline testing frameworks, fault tolerance testing). Proven software engineering fundamentals, including experience with design, testing, version control, and CI/CD best practices. Comfortable working independently in a fast-paced, ambiguous environment. Excellent communication and problem-solving skills.

Skills & Tags

ai data

Aplyr's read

Apple is a tech giant known for its sleek design and innovation, attracting top talent in engineering, design, and business operations.
Synthesized from recent postings & public sources

What's promising

•Apple consistently leads in tech innovation with a strong focus on design and user experience.
•The company's global brand recognition offers employees a prestigious platform for career growth.
•Apple's robust ecosystem integrates hardware, software, and services, creating diverse job opportunities.

What to watch

•High-pressure work environment with demanding deadlines can impact work-life balance.
•Apple's secretive culture may limit transparency and cross-departmental communication.
•Dependence on hardware sales makes the company vulnerable to market saturation risks.

Why Apple

•Apple's design philosophy emphasizes simplicity and elegance, setting it apart in the tech industry.
•The company has a unique retail presence with its own stores enhancing customer experience.
•Apple's closed ecosystem creates a seamless integration across its products, unmatched by competitors.

Aplyr’s read is generated by AI from public sources. Was it useful?

About Apple

Apple

apple.com

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AAPL$295.95-1.10%

Apple Inc. is a leading technology company known for its innovative consumer electronics, software, and services. The company designs and manufactures products such as the iPhone, iPad, Mac computers, and wearables, significantly influencing the tech industry and consumer behavior worldwide.