Software Engineer, Data Infrastructure and Engineering
Apple
Software Engineer, Data Infrastructure and Engineering
Job Description
At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, MLS Season Pass and now F1! Everything we do is designed for trust, connection, and impact. We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. Our platforms are highly-performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy. We are looking for an ambitious and versatile Software Engineer who will be a key member of our team, delivering data solutions that solve exciting business problems. Job duties range from designing and implementing core data infrastructure, stream-processing capabilities, to supporting critical privacy preserving pipelines. You will have the opportunity to define, refine, and refactor approaches, designs, and architectures to meet the data engineering challenges we must solve. You will join a team of world-class data engineers with an appetite for applying leading-edge technologies to deliver extraordinary experiences to our customers. You will play a meaningful role building data products that deliver on Apple's privacy commitments and change the way advertising works with data. You will collaborate closely with the business to deliver relevant data and insight to inform our strategy and decisions. You should have 4+ years experience in data engineering roles, ideally within the ads or media space. You will have an excellent understanding of scalable approaches and thrive working in Agile environments. The ability to be a good standout colleague under tight deadline constraints is key to success!
Locations
- Austin, Texas, United States 78727
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- data engineeringintermediate
- designing core data infrastructureintermediate
- implementing core data infrastructureintermediate
- stream-processing capabilitiesintermediate
- privacy preserving pipelinesintermediate
- defining approachesintermediate
- refining approachesintermediate
- refactoring approachesintermediate
- designing architecturesintermediate
- applying leading-edge technologiesintermediate
- building data productsintermediate
- collaborating with businessintermediate
- delivering data and insightintermediate
- scalable approachesintermediate
- working in Agile environmentsintermediate
- being a good colleague under tight deadlinesintermediate
Required Qualifications
- 4+ years of industry experience building scalable data pipelines and data platforms (experience, 4 years)
- Strong computer science and data engineering fundamentals (experience)
- Expertise in programming languages such as Python/Java/Scala/Rust (experience)
- Expertise in NoSQL datastores (e.g. Cassandra, Keyspaces, ElastiCache) (experience)
- Expertise in relational databases and SQL (experience)
- Expertise in distributed systems and data processing technologies (e.g. Spark, Kafka, Flink) (experience)
- Expertise in access management , building catalogs , query engines (experience)
- Expertise in building data compaction tools (experience)
- Experience building and scaling systems on premise and in the cloud (experience)
- BS or MS in Computer Science, Software Engineering or related technical fields (experience)
Preferred Qualifications
- Strong technical skills with proven experience developing and supporting scalable data infrastructure (experience)
- Ability to communicate effectively with multi-functional technical and non-technical teams (experience)
- Prior experience in advertising industry is a huge plus (experience)
- Contribution to open source distributed system projects (experience)
Responsibilities
- We are looking for an ambitious and versatile Software Engineer who will be a key member of our team, delivering data solutions that solve exciting business problems. Job duties range from designing and implementing core data infrastructure, stream-processing capabilities, to supporting critical privacy preserving pipelines.
- You will have the opportunity to define, refine, and refactor approaches, designs, and architectures to meet the data engineering challenges we must solve. You will join a team of world-class data engineers with an appetite for applying leading-edge technologies to deliver extraordinary experiences to our customers. You will play a meaningful role building data products that deliver on Apple's privacy commitments and change the way advertising works with data. You will collaborate closely with the business to deliver relevant data and insight to inform our strategy and decisions. You should have 4+ years experience in data engineering roles, ideally within the ads or media space. You will have an excellent understanding of scalable approaches and thrive working in Agile environments. The ability to be a good standout colleague under tight deadline constraints is key to success!
- Design, develop, and optimize distributed algorithms and data processing frameworks
- Implement scalable feature pipelines to ingest, clean, transform, and analyze massive datasets
- Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks
- Ensure data integrity, security, and compliance across all solutions
- Participate in cross-functional Agile teams to prototype and deliver impactful, data-driven products
- Build tools to integrate the data eco system
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Answer 10 quick questions to check your fit for Software Engineer, Data Infrastructure and Engineering @ Apple.
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Software Engineer, Data Infrastructure and Engineering
Apple
Software Engineer, Data Infrastructure and Engineering
Job Description
At Apple, we focus deeply on our customers’ experience. Apple Ads brings this same approach to advertising, helping people find exactly what they’re looking for and helping advertisers grow their businesses. Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, MLS Season Pass and now F1! Everything we do is designed for trust, connection, and impact. We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes—from small app developers to big, global brands. Because when advertising is done right, it benefits everyone. Our platforms are highly-performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy. We are looking for an ambitious and versatile Software Engineer who will be a key member of our team, delivering data solutions that solve exciting business problems. Job duties range from designing and implementing core data infrastructure, stream-processing capabilities, to supporting critical privacy preserving pipelines. You will have the opportunity to define, refine, and refactor approaches, designs, and architectures to meet the data engineering challenges we must solve. You will join a team of world-class data engineers with an appetite for applying leading-edge technologies to deliver extraordinary experiences to our customers. You will play a meaningful role building data products that deliver on Apple's privacy commitments and change the way advertising works with data. You will collaborate closely with the business to deliver relevant data and insight to inform our strategy and decisions. You should have 4+ years experience in data engineering roles, ideally within the ads or media space. You will have an excellent understanding of scalable approaches and thrive working in Agile environments. The ability to be a good standout colleague under tight deadline constraints is key to success!
Locations
- Austin, Texas, United States 78727
- Cupertino, California, United States 95014
Salary
Estimated Salary Rangemedium confidence
25,000,000 - 60,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- data engineeringintermediate
- designing core data infrastructureintermediate
- implementing core data infrastructureintermediate
- stream-processing capabilitiesintermediate
- privacy preserving pipelinesintermediate
- defining approachesintermediate
- refining approachesintermediate
- refactoring approachesintermediate
- designing architecturesintermediate
- applying leading-edge technologiesintermediate
- building data productsintermediate
- collaborating with businessintermediate
- delivering data and insightintermediate
- scalable approachesintermediate
- working in Agile environmentsintermediate
- being a good colleague under tight deadlinesintermediate
Required Qualifications
- 4+ years of industry experience building scalable data pipelines and data platforms (experience, 4 years)
- Strong computer science and data engineering fundamentals (experience)
- Expertise in programming languages such as Python/Java/Scala/Rust (experience)
- Expertise in NoSQL datastores (e.g. Cassandra, Keyspaces, ElastiCache) (experience)
- Expertise in relational databases and SQL (experience)
- Expertise in distributed systems and data processing technologies (e.g. Spark, Kafka, Flink) (experience)
- Expertise in access management , building catalogs , query engines (experience)
- Expertise in building data compaction tools (experience)
- Experience building and scaling systems on premise and in the cloud (experience)
- BS or MS in Computer Science, Software Engineering or related technical fields (experience)
Preferred Qualifications
- Strong technical skills with proven experience developing and supporting scalable data infrastructure (experience)
- Ability to communicate effectively with multi-functional technical and non-technical teams (experience)
- Prior experience in advertising industry is a huge plus (experience)
- Contribution to open source distributed system projects (experience)
Responsibilities
- We are looking for an ambitious and versatile Software Engineer who will be a key member of our team, delivering data solutions that solve exciting business problems. Job duties range from designing and implementing core data infrastructure, stream-processing capabilities, to supporting critical privacy preserving pipelines.
- You will have the opportunity to define, refine, and refactor approaches, designs, and architectures to meet the data engineering challenges we must solve. You will join a team of world-class data engineers with an appetite for applying leading-edge technologies to deliver extraordinary experiences to our customers. You will play a meaningful role building data products that deliver on Apple's privacy commitments and change the way advertising works with data. You will collaborate closely with the business to deliver relevant data and insight to inform our strategy and decisions. You should have 4+ years experience in data engineering roles, ideally within the ads or media space. You will have an excellent understanding of scalable approaches and thrive working in Agile environments. The ability to be a good standout colleague under tight deadline constraints is key to success!
- Design, develop, and optimize distributed algorithms and data processing frameworks
- Implement scalable feature pipelines to ingest, clean, transform, and analyze massive datasets
- Solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks
- Ensure data integrity, security, and compliance across all solutions
- Participate in cross-functional Agile teams to prototype and deliver impactful, data-driven products
- Build tools to integrate the data eco system
Tags & Categories
Answer 10 quick questions to check your fit for Software Engineer, Data Infrastructure and Engineering @ Apple.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs