Apple
Data Engineer - Data Products, Ad Platforms
Apple, Austin, Texas, us, 78716
Summary
Posted: Jun 11, 2024
Weekly Hours:
40
Role Number: 200548502
At Apple, we work every day to create products that enrich people's lives! Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads in App Store and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. The Ad Platforms Data Products Engineering team is seeking a data engineer to join in developing the next generation of data products and analytical solutions built to empower Algo, Product, Data Insights, Sales, Marketing and Executive teams. In this role you will be a key member of the team driving the strategy, development, execution, and continuous improvement of core algo and analytical data products for Ad Platforms. You will be building the foundational data architectures and pipelines for our algo and data science capabilities. You will join a team of world-class data engineers hungry to apply leading-edge technologies to deliver extraordinary experiences to our data consumers. A successful candidate will have experience building data pipelines using varied engineering technologies such as AWS, EMR, EKS, Spark, Hive, SQL, Iceberg, Snowflake, Oracle, Airflow, Datadog.
Description
- Use modern tools and technologies to build reliable and performant pipelines and data products with extreme scale requirements - Solve tough problems across the technology spectrum including designing, creating, and extending data storage, processing, and analytic solutions - Automate and optimize existing analytic workloads by recognizing patterns of data and technology usage - Must be able to work in a rapidly changing environment and perform effectively in a sprint-based agile development environment
Key Qualifications
Background in computer science, mathematics, or similar quantitative field with a minimum of 2-4 years professional experienceDemonstrated ability to implement and extend highly performant, resilient, and reliable data servicesWorked in cloud environments and are familiar with object stores, and other common cloud-native data storage and processing frameworksExtract Transform Load (ETL) and streaming experience using Spark, Kafka, Hive, Iceberg, or similar technologies at petabyte scaleDeep expertise in data modeling, Scala, Spark, Python, Java, Scala, SQL, Trino, Glue and/or other relevant languages and frameworksExperience with workflow scheduling / orchestration such as AirflowAbility to take requirements from design through to implementation both independently and working collaboratively within teamsAbility to work closely with operational teams on deployment, monitoring, management concernsEducation & Experience
BS/MS in Computer Science, Distributed Systems, Software Engineering, or related field; and experience designing, building, maintaining, and extending web-scale production systems.
Additional Requirements
- Ability to design and implement effective testing and operations strategies for data pipelines and data products- Worked in CI/CD environments- Experience with applying data encryption and data security standards- Experience using one or more scripting languages (e.g., Python, bash, etc.)- Experience supporting and working with cross-functional teams in a dynamic environment- Understanding of modern data engineering approaches and are aware of what leading players are doing- Experience implementing machine learning and data science workloads a plus- Ability to communicate technical concepts to a business-focused audience- Most importantly, a sense of humor and an eagerness to learnApple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
More
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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. Learn more about your EEO rights as an applicant.
Posted: Jun 11, 2024
Weekly Hours:
40
Role Number: 200548502
At Apple, we work every day to create products that enrich people's lives! Our Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work. Today, our technology and services power advertising in Search Ads in App Store and Apple News. Our platforms are highly-performant, deployed at scale, and setting new standards for enabling effective advertising while protecting user privacy. The Ad Platforms Data Products Engineering team is seeking a data engineer to join in developing the next generation of data products and analytical solutions built to empower Algo, Product, Data Insights, Sales, Marketing and Executive teams. In this role you will be a key member of the team driving the strategy, development, execution, and continuous improvement of core algo and analytical data products for Ad Platforms. You will be building the foundational data architectures and pipelines for our algo and data science capabilities. You will join a team of world-class data engineers hungry to apply leading-edge technologies to deliver extraordinary experiences to our data consumers. A successful candidate will have experience building data pipelines using varied engineering technologies such as AWS, EMR, EKS, Spark, Hive, SQL, Iceberg, Snowflake, Oracle, Airflow, Datadog.
Description
- Use modern tools and technologies to build reliable and performant pipelines and data products with extreme scale requirements - Solve tough problems across the technology spectrum including designing, creating, and extending data storage, processing, and analytic solutions - Automate and optimize existing analytic workloads by recognizing patterns of data and technology usage - Must be able to work in a rapidly changing environment and perform effectively in a sprint-based agile development environment
Key Qualifications
Background in computer science, mathematics, or similar quantitative field with a minimum of 2-4 years professional experienceDemonstrated ability to implement and extend highly performant, resilient, and reliable data servicesWorked in cloud environments and are familiar with object stores, and other common cloud-native data storage and processing frameworksExtract Transform Load (ETL) and streaming experience using Spark, Kafka, Hive, Iceberg, or similar technologies at petabyte scaleDeep expertise in data modeling, Scala, Spark, Python, Java, Scala, SQL, Trino, Glue and/or other relevant languages and frameworksExperience with workflow scheduling / orchestration such as AirflowAbility to take requirements from design through to implementation both independently and working collaboratively within teamsAbility to work closely with operational teams on deployment, monitoring, management concernsEducation & Experience
BS/MS in Computer Science, Distributed Systems, Software Engineering, or related field; and experience designing, building, maintaining, and extending web-scale production systems.
Additional Requirements
- Ability to design and implement effective testing and operations strategies for data pipelines and data products- Worked in CI/CD environments- Experience with applying data encryption and data security standards- Experience using one or more scripting languages (e.g., Python, bash, etc.)- Experience supporting and working with cross-functional teams in a dynamic environment- Understanding of modern data engineering approaches and are aware of what leading players are doing- Experience implementing machine learning and data science workloads a plus- Ability to communicate technical concepts to a business-focused audience- Most importantly, a sense of humor and an eagerness to learnApple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
More
Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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. Learn more about your EEO rights as an applicant.