Data EngineerDo you love crafting elegant solutions to highly complex challenges? Do you intrinsically see the importance in every detail? As part of our Silicon Technologies group, you'll help design and manufacture our next-generation, high-performance, power-efficient processor, system-on-chip (SoC). You'll ensure Apple products and services can seamlessly and expertly handle the tasks that make them beloved by millions. Joining this group means you'll be responsible for crafting and building the technology that fuels Apple's devices. Together, you and your team will enable our customers to do all the things they love with their devices. At Apple, innovative concepts swiftly transform into groundbreaking products, services, and customer experiences. By cultivating passion and unwavering dedication, the potential for extraordinary accomplishments becomes limitless. As a member of the Apple Silicon Technology group, you will collaborate in the design, creation, and enhancement of our data infrastructure, which underpins the productization of our semiconductors across iPhone, iPad, Mac, and numerous other devices.

We are seeking a highly skilled Data Software Engineer to design, develop, and maintain scalable data infrastructure and software systems. The ideal candidate will seamlessly bridge the gap between software engineering and data engineering, constructing robust data pipelines, analytics platforms, and data-driven applications that empower our organization to derive valuable insights from extensive datasets.

Within the Productization Data Tools team, you will assume the responsibility for developing and maintaining the software systems that underpin our data operations. Your role will entail close collaboration with data scientists, analysts, and product teams to establish reliable, high performing, and scalable data solutions. Your responsibilities will encompass designing data architectures, optimizing data processing workflows, and ensuring data quality and governance throughout our systems.

ResponsibilitiesDesign and implement scalable data pipelines and processing systems

Parse and process text logs and STDF

Develop and optimize database performance and query efficiency

Implement data quality monitoring and validation frameworks

Collaborate with data scientists to productize machine learning models

Monitor system performance and troubleshoot data infrastructure issues

Minimum QualificationsBachelors Degree plus 3 years of relevant experience (Degree in Computer Science, Software Engineering, or a related)

Preferred QualificationsThree or more years of experience in software development, with a specific focus on data systems

Proficiency in Python programming language

Experience with Oracle SQL and database design principles

Experience with Linux operating systems

Proficiency in version control systems (Git)

• Strong problem-solving and analytical abilities

Excellent communication and collaboration skills

Experience in semiconductor or high-tech research and development (R&D) and manufacturing environments

Master's degree in computer science, data engineering, or a related field

5

years of experience in data engineering or data-focused software development

Experience with Cassandra NoSQL database

Familiarity with machine learning workflows and machine learning operations (MLOps) practices

Experience with data visualization tools and business intelligence 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.

Apple accepts applications to this posting on an ongoing basis.