
About Apple
The personal technology company redefining user experience
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...
Skills & Technologies
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.
Interested in this role?
Apply now or save it for later. Get alerts for similar jobs at Apple.
Similar Jobs You Might Like
Based on your interests and this role

Data Scientist
Apple is hiring a Senior Data Scientist for their AIML Evaluation team to drive product impact through measurement and evaluation. You'll work with large data sets and collaborate with engineering teams to improve search quality. This position requires expertise in data analysis and machine learning.

Data Engineer
Apple is hiring a Senior Data Engineer to design and maintain data pipelines that drive capacity and cost decisions across its infrastructure. You'll work with technologies like AWS, Apache, and Airflow, requiring strong skills in Python and SQL.

Data Engineer
Plaud is hiring a Senior Data Engineer to design and develop data warehouse systems. You'll work with technologies like Apache Spark and Snowflake to optimize data processing performance. This position requires 6 years of experience in big data development.

Data Engineer
Apple is hiring a Senior Data Engineer to build a scalable machine learning dataset management platform. You'll work with big data infrastructure and collaborate with teams across Apple. This role requires deep expertise in data systems and compliance.

Data Engineer
LendingTree is seeking a Data Engineer to join their Data Engineering team. You'll build real-time data solutions and implement high-performance data analytics using tools like Snowflake and Matillion. This role requires experience in data integration and analytics.