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Home›Jobs›Apple›AIML - Sr Data Engineer, Evaluation
Apple

About Apple

The personal technology company redefining user experience

🏢 Tech, Hardware👥 1001+ employees📅 Founded 1976📍 Cupertino, CA⭐ 4.2
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...

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Apple

AIML - Sr Data Engineer, Evaluation

Apple • Seattle, Washington, United States

Posted 3w ago🏛️ On-SiteSeniorData engineer📍 Seattle
Apply Now →

Skills & Technologies

PythonSQLApache SparkAirflowKubernetesDockerBigQueryData warehousing

Job Description

The SWE Data organization seeks to improve products by using data as the voice of our customers. Within this organization, the Search Data Engineering team builds systems that process data reliably at scale to generate high-quality datasets that support confident, data informed decision-making for improving understanding capabilities of Search capabilities. We’re looking for exceptional data engineers who are passionate about our product and values; who love working with data at scale, and who are committed to continuously improve. As a part of this group, you will work with petabytes of data daily using diverse technologies. You will be expected to effectively partner with upstream engineering & privacy teams and downstream consumers, including data scientists and ML engineers. In this role, you will be building ultra large scale batch & streaming datasets to support analytics, experimentation and machine learning and helping to drive our self-serve strategy for reporting on-behalf of data scientists and product engineers as we collectively make product better. You will help design instrumentation required to log data from device and server side upholding Apple’s privacy promise and validate data is flowing in the correct shape, frequency, and quality into the Data Warehouse. Curate a high performance and easy to understand data model that meets the needs of the many. Identify common patterns and build self-serve tools to scale data engineering, and automate lifecycle of datasets with the highest standards of data quality. Educate your consumers on how to access your products, assuring transparency and understanding in logic definitions and enabling self-service.

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