Apple, Inc.
Data Engineer - Targeting Engineering, Apple Ads
Apple, Inc., Cupertino, California, United States, 95014
Summary
Posted: Sep 24, 2025 | Weekly Hours: 40 | Role Number: 200622632-0836
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 Apple Ads Targeting Engineering team is seeking a data engineer to join in developing the next generation of privacy preserving solutions. In this role you will be a key member of the team driving the development, execution, and continuous improvement of core pipelines and infrastructure. 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, and Datadog.
Description
Use modern tools and technologies to build reliable and performant pipelines and infrastructure 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
Minimum Qualifications
3+ years of professional experience and background in computer science, mathematics, or similar quantitative field
Demonstrated ability to implement and extend highly performant and resilient data services
Worked in cloud environments and are familiar with object stores, and other common cloud-native data storage and processing frameworks
Experience working with distributed systems (Cassandra, Kubernetes, Docker, etc.)
Extract Transform Load (ETL) and streaming experience using Spark, Kafka, Hive, Iceberg, or similar technologies at petabyte scale
Demonstrated experience with relevant languages and frameworks such as Spark, Python, Java, SQL, Trino, Glue
Experience with workflow scheduling / orchestration such as Airflow, DBT, etc.
Ability to take requirements from design through to implementation both independently and working collaboratively within teams
Ability to work closely with operational teams on deployment, monitoring, management concerns
BS/MS in Computer Science, Distributed Systems, Software Engineering, or related field; and experience designing, building, maintaining, and extending web-scale production systems
Preferred Qualifications
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
Experience in AdTech highly desirable
Most importantly, a sense of humor and an eagerness to learn
Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You\'ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.
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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 Apple Ads Targeting Engineering team is seeking a data engineer to join in developing the next generation of privacy preserving solutions. In this role you will be a key member of the team driving the development, execution, and continuous improvement of core pipelines and infrastructure. 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, and Datadog.
Description
Use modern tools and technologies to build reliable and performant pipelines and infrastructure 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
Minimum Qualifications
3+ years of professional experience and background in computer science, mathematics, or similar quantitative field
Demonstrated ability to implement and extend highly performant and resilient data services
Worked in cloud environments and are familiar with object stores, and other common cloud-native data storage and processing frameworks
Experience working with distributed systems (Cassandra, Kubernetes, Docker, etc.)
Extract Transform Load (ETL) and streaming experience using Spark, Kafka, Hive, Iceberg, or similar technologies at petabyte scale
Demonstrated experience with relevant languages and frameworks such as Spark, Python, Java, SQL, Trino, Glue
Experience with workflow scheduling / orchestration such as Airflow, DBT, etc.
Ability to take requirements from design through to implementation both independently and working collaboratively within teams
Ability to work closely with operational teams on deployment, monitoring, management concerns
BS/MS in Computer Science, Distributed Systems, Software Engineering, or related field; and experience designing, building, maintaining, and extending web-scale production systems
Preferred Qualifications
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
Experience in AdTech highly desirable
Most importantly, a sense of humor and an eagerness to learn
Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You\'ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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.
#J-18808-Ljbffr