Data Engineer

2 weeks ago

San Diego, California, United States Apple Full time $120,000 - $180,000 per year
Do 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.

Description
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.

Minimum Qualifications
Bachelors Degree plus 3 years of relevant experience

(Degree in Computer Science, Software Engineering, or a related)

Preferred Qualifications
Three 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
are development

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