Apple

About Apple

The personal technology company redefining user experience

🏢 Tech, Hardware👥 1001+ employees📅 Founded 1976📍 Cupertino, CA4.2
B2CB2BHardwareSaaSTelecommunicationseCommerce

Key Highlights

  • Market cap of $3 trillion as of 2022
  • Over 1 billion active devices worldwide
  • Comprehensive medical plans including mental healthcare
  • Paid parental leave and gradual return-to-work program

Apple Inc. (NASDAQ: AAPL), headquartered in Cupertino, CA, is the world's most valuable company with a market capitalization of $3 trillion as of 2022. Known for its iconic products such as the iPhone, iPad, and Mac, Apple serves over 1 billion active devices globally. The company has a strong commi...

🎁 Benefits

Apple offers comprehensive medical plans covering physical and mental healthcare, paid parental leave, and a gradual return-to-work program. Employees...

🌟 Culture

Apple's culture emphasizes an obsessive focus on user experience and consumer privacy, setting it apart from competitors. The company promotes inclusi...

Overview

Apple is hiring a Senior Data Engineer to enhance product capabilities through data-driven insights. You'll work with large datasets and technologies like Python, SQL, and Apache Spark in Seattle. This role requires strong experience in data engineering and machine learning.

Job Description

Who you are

You have 5+ years of experience in data engineering, with a strong focus on building scalable data systems that support analytics and machine learning. Your expertise in Python and SQL allows you to manipulate and analyze large datasets effectively, ensuring data quality and integrity. You are familiar with data warehousing concepts and have experience with tools like Apache Spark and Airflow for data processing and orchestration. Your understanding of AWS services enhances your ability to design and implement cloud-based data solutions. You thrive in collaborative environments, working closely with data scientists and machine learning engineers to drive data-informed decision-making.

Desirable

Experience with Kafka for real-time data streaming and familiarity with PostgreSQL for database management are highly desirable. You have a passion for data and a commitment to continuous improvement, always seeking to enhance your skills and knowledge in the field of data engineering. You understand the importance of privacy and data governance, ensuring that all data handling practices align with organizational standards.

What you'll do

In this role, you will be responsible for building ultra-large scale batch and streaming datasets that support analytics and experimentation. You will collaborate with upstream engineering and privacy teams to design instrumentation for logging data from both device and server sides, ensuring compliance with Apple's privacy standards. Your work will involve validating data flow into the Data Warehouse, maintaining high standards of data quality and performance. You will curate data models that are easy to understand and meet the needs of various stakeholders, including data scientists and product engineers. Additionally, you will identify common patterns in data usage and build self-serve tools to scale data engineering processes, automating the lifecycle of datasets.

What we offer

Apple offers a dynamic work environment where innovation and collaboration are at the forefront. You will have the opportunity to work with cutting-edge technologies and contribute to projects that impact millions of users worldwide. We provide competitive compensation and benefits, along with opportunities for professional growth and development. Join us in our mission to enhance product capabilities through data-driven insights and make a meaningful impact in the tech industry.

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