{"schemaVersion":"jobsearcher.job.v1","id":"c968cbc2451fe669eded2e75","url":"https://jobsearcher.com/jobs/c968cbc2451fe669eded2e75","canonicalUrl":"https://jobsearcher.com/jobs/c968cbc2451fe669eded2e75","title":"Data Engineer - Targeting Engineering, Apple Ads","description":"113 South Monroe Street, Suite 131, Tallahassee FL 32301\r\nMon - Fri : 8:30am - 5:00pm EST\r\nOverview 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.\r\nThe 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.\r\nResponsibilities Use modern tools and technologies to build reliable and performant pipelines and infrastructure with extreme scale requirements\r\nSolve tough problems across the technology spectrum including designing, creating, and extending data storage, processing, and analytic solutions\r\nAutomate and optimize existing analytic workloads by recognizing patterns of data and technology usage\r\nMust be able to work in a rapidly changing environment and perform effectively in a sprint-based agile development environment\r\nKey Qualifications Background in computer science, mathematics, or similar quantitative field with a minimum of 7 years professional experience\r\nDemonstrated ability to implement and extend highly performant and resilient data services\r\nWorked in cloud environments and are familiar with object stores, and other common cloud-native data storage and processing frameworks\r\nExperience working with distributed systems (Cassandra, Kubernetes, Docker, etc.)\r\nETL and streaming experience using Spark, Kafka, Hive, Iceberg, or similar technologies at petabyte scale\r\nDemonstrated experience with relevant languages and frameworks such as Spark, Python, Java, SQL, Trino, Glue\r\nExperience with workflow scheduling / orchestration such as Airflow, DBT, etc.\r\nAbility to take requirements from design through to implementation both independently and working collaboratively within teams\r\nAbility to work closely with operational teams on deployment, monitoring, management concerns\r\nAdditional Requirements Ability to design and implement effective testing and operations strategies for data pipelines and data products\r\nWorked in CI/CD environments\r\nExperience with applying data encryption and data security standards\r\nExperience using one or more scripting languages (e.g., Python, bash, etc.)\r\nExperience supporting and working with cross-functional teams in a dynamic environment\r\nUnderstanding of modern data engineering approaches and are aware of what leading players are doing\r\nExperience implementing machine learning and data science workloads a plus\r\nAbility to communicate technical concepts to a business-focused audience\r\nExperience in AdTech highly desirable\r\nMost importantly, a sense of humor and an eagerness to learn\r\nEducation BS/MS in Computer Science, Distributed Systems, Software Engineering, or related field; and experience designing, building, maintaining, and extending web-scale production systems.\r\nJ-18808-Ljbffr","company":"Success Tech Solutions","rawCompany":"success tech solutions","city":"Florida","state":"NY","isRemote":false,"isActive":false,"createdAt":"2026-06-25T00:42:33.367Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer - Targeting Engineering, Apple Ads","description":"113 South Monroe Street, Suite 131, Tallahassee FL 32301\r\nMon - Fri : 8:30am - 5:00pm EST\r\nOverview 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.\r\nThe 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.\r\nResponsibilities Use modern tools and technologies to build reliable and performant pipelines and infrastructure with extreme scale requirements\r\nSolve tough problems across the technology spectrum including designing, creating, and extending data storage, processing, and analytic solutions\r\nAutomate and optimize existing analytic workloads by recognizing patterns of data and technology usage\r\nMust be able to work in a rapidly changing environment and perform effectively in a sprint-based agile development environment\r\nKey Qualifications Background in computer science, mathematics, or similar quantitative field with a minimum of 7 years professional experience\r\nDemonstrated ability to implement and extend highly performant and resilient data services\r\nWorked in cloud environments and are familiar with object stores, and other common cloud-native data storage and processing frameworks\r\nExperience working with distributed systems (Cassandra, Kubernetes, Docker, etc.)\r\nETL and streaming experience using Spark, Kafka, Hive, Iceberg, or similar technologies at petabyte scale\r\nDemonstrated experience with relevant languages and frameworks such as Spark, Python, Java, SQL, Trino, Glue\r\nExperience with workflow scheduling / orchestration such as Airflow, DBT, etc.\r\nAbility to take requirements from design through to implementation both independently and working collaboratively within teams\r\nAbility to work closely with operational teams on deployment, monitoring, management concerns\r\nAdditional Requirements Ability to design and implement effective testing and operations strategies for data pipelines and data products\r\nWorked in CI/CD environments\r\nExperience with applying data encryption and data security standards\r\nExperience using one or more scripting languages (e.g., Python, bash, etc.)\r\nExperience supporting and working with cross-functional teams in a dynamic environment\r\nUnderstanding of modern data engineering approaches and are aware of what leading players are doing\r\nExperience implementing machine learning and data science workloads a plus\r\nAbility to communicate technical concepts to a business-focused audience\r\nExperience in AdTech highly desirable\r\nMost importantly, a sense of humor and an eagerness to learn\r\nEducation BS/MS in Computer Science, Distributed Systems, Software Engineering, or related field; and experience designing, building, maintaining, and extending web-scale production systems.\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T00:42:33.367Z","dateModified":"2026-06-25T00:42:33.367Z","hiringOrganization":{"@type":"Organization","name":"Success Tech Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Florida","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c968cbc2451fe669eded2e75"},"url":"https://jobsearcher.com/jobs/c968cbc2451fe669eded2e75"}}