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staff engineer app store analytics data engineering

Apple

The App Store is the world&rsquo;s safest and most vibrant app marketplace, serving more than 850 million visitors each week. Since the App Store launched in 2008, it has helped creators, dreamers, and learners of all ages and backgrounds connect with the tools and technology they need to build a brighter future and a better world. The team continues to innovate the platform - which is home to over 2 million apps in over 40 languages and 175 regions around the world. A significant driver of the global economy, the App Store facilitates over $1 trillion in developer billings and sales annually, rewarding developers and entrepreneurs for their hard work and creativity. And we believe we&rsquo;re just getting started! The App Store Analytics &amp; Data Engineering team builds privacy-first advertising and measurement systems at 
 
Apple scale - enabling developers to reach users, measure campaign effectiveness, and drive growth on our platform. We are seeking an experienced, innovative, and driven architect / leading engineer to define vision and push the boundaries of privacy-preserving measurement technologies driving both trust and utility for our users and app developers. 
 
Description 
 
In this role you will design and lead implementation of core mechanisms that support marketing measurement in a privacy-preserving environment. This role requires strong systems thinking, careful consideration of trade-offs, and the ability to translate complex ideas into simple, scalable platform capabilities. You will work at the intersection of system architecture, privacy engineering, and advertising ecosystem - shaping how measurement frameworks 
 
evolve at global scale. The ideal candidate possesses a deep understanding of the advertising technology landscape, a passion for data-driven measurement, a proven ability to contribute to and communicate a compelling product vision, and a deep commitment to user privacy.&quot;,&quot;responsibilities&quot;:&quot;Design, build, and evolve scalable privacy-preserving measurement systems that achieve utility with user privacy guarantees 
 
Define and extend core platform capabilities (e.g., attribution, aggregation, and reporting) for use by large-scale ecosystem 
 
Translate architectural concepts into clear and usable platform APIs, analyze system behavior at scale to ensure robustness, efficiency, and consistency 
 
Partner with cross-functional engineering, product, policy, and legal teams to drive product &amp; technical vision, align on requirements and ensure end-user satisfaction 
 
Clearly communicate complex technical concepts and trade-offs to diverse audiences, including senior leadership, to set direction and drive decisions 
 
Analyze trade-offs between accuracy, performance, and privacy, and guide decision-making with data and experimentation 
 
Preferred Qualifications 
 
Experience designing or deploying privacy-enhancing technologies such as differential privacy, federated learning, secure multi-party computation, or on-device intelligence 
 
Understanding of privacy related regulations and policies (e.g., GDPR, CCPA) and their impact on system design 
 
Participation in industry standards committees focused on privacy or advertising measurement 
 
Deep expertise in advertising measurement domains such as attribution modeling, incrementally testing, conversion measurement, or campaign optimization 
 
Experience building publicly facing platforms or APIs with a focus on usability, scalability, and ecosystem adoption 
 
Minimum Qualifications 
 
10+ years of experience in software engineering 
 
Demonstrated ability to define and drive long-term technical strategy, influencing product direction and engineering roadmaps 
 
Proven track record of leading the design and delivery of complex, high-impact data or measurement platforms at global scale 
 
Deep expertise in distributed systems and data warehousing concepts (Java, Python, Spark, Trino, Hadoop, Cassandra, Kafka, Snowflake) 
 
Strong SQL, data analysis and visualization skills to define hypotheses, evaluate experiments, measure business impact, and communicate insights effectively 
 
Hands-on knowledge of the advertising technology ecosystem, including attribution, measurement, and optimization methodologies 
 
Exceptional communication and leadership skills, with experience influencing senior leadership and aligning cross-functional stakeholders 
 
Bachelor&rsquo;s degree in Computer Science, Computer Engineering or equivalent experience 
 
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 . 
 
Pay &amp; 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 $181,100 and $318,400, 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.

Staff Engineer, App Store Analytics & Data Engineering

<div>Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products very quickly. Bring passion and dedication to your job, and there's no telling what we can accomplish together. We're looking for a hardworking and passionate person to join this amazing team, and if you feel this is you, we'd love to hear from you! 
 
The Apple Services Engineering (ASE) team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple&rsquo;s high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. 
 
Description 
 
Our team, Apple Services Engineering (ASE) Privacy Instrumentation, works with Apple's customer-facing app development teams to answer two key questions: what metrics should we collect to answer key business questions and how will we get those metrics from client devices? We design and develop the data schema and standards for metrics, as well as the tooling that enables teams to collect these metrics, all while keeping user privacy front and center. By joining us your innovative ideas will impact billions of users worldwide and you will contribute to Apple&rsquo;s magic. 
 
We're looking for someone who thrives at the intersection of product management and engineering, helping us solve problems critical to unlocking business insights on Apple's most important customer software. In this role, you'll define the future of our privacy-first instrumentation capabilities while maintaining hands-on engineering involvement. This isn't your standard engineering role: while you will get the opportunity to write code for our tooling and data infrastructure, the bulk of your time will be focused on technical design, requirements gathering, and cross-functional collaboration. 
 
You&rsquo;ll be tasked with designing, launching, and supporting new data infrastructure products as necessary to answer high-level analytics questions at scale. 
 
Your responsibilities will span the full software development lifecycle - from brainstorming, design and analysis to development, implementation and maintenance. You'll define strategies for new data infrastructure products, create and maintain detailed instrumentation specifications for all new features across ASE products, and contribute code to implement these strategies. 
 
Working with stakeholders across product, engineering, data science, privacy, legal, and QA teams, you will: 
 
<ul><li>Design and implement privacy-preserving analytics systems some of Apple&rsquo;s flagship software products</li></ul> 
<ul><li>Design and develop frameworks and tools to collect analytics data across all Apple platforms (iOS, macOS, tvOS, watchOS, visionOS, web, and third-party)</li></ul> 
<ul><li>Own the end-to-end product lifecycle for client instrumentation capabilities, creating specifications for engineering, data science, and QA teams</li></ul> 
<ul><li>Serve as data collection subject-matter expert, advising stakeholders on analytics impact across systems</li></ul> 
<ul><li>Partner with privacy and legal teams to balance analytics needs with consumer privacy protection</li></ul> 
The people here at Apple don&rsquo;t just create products - they create the kind of wonder that&rsquo;s revolutionized entire industries. It&rsquo;s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. 
 
Preferred Qualifications 
 
Ability to assist in the creation and enforcement of privacy and compliance policies and guidelines across ASE and Apple 
 
Industry experience in Privacy-Enhancing Technologies for large-scale distributed systems 
 
Experience with differential privacy, private data-synchronization across systems and devices, data minimization, tokenization, cryptography 
 
Minimum Qualifications 
 
BS or MS in Computer Science or equivalent industry experience with iOS and/or web development 
 
5+ years of experience as a software engineer, technical product manager, or engineering-focused management consultant 
 
Strong software design skills with deep knowledge of data structures and algorithms and hands on experience with programming languages such as Swift, Objective-C, JavaScript, C/C++, Java, TypeScript, React, Angular, Ember, Vue 
 
Excellent communication and collaboration skills with ability to translate ambiguous analytics questions into concrete engineering requirements while working with large, distributed cross-functional teams 
 
Strong prioritization skills with proven ability to manage multiple programs simultaneously with overlapping deadlines 
 
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 . 
 
Pay &amp; 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 $181,100 and $318,400, 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.</div>

Senior Software Engineer - Analytics and Data Privacy

Imagine what we could do together. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there&rsquo;s no telling what we could accomplish! 
 
The Apple Services Engineering team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. We are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, Apple Books, Apple Sports and Apple Fitness. And we do it on a massive scale, meeting Apple&rsquo;s high standard for quality and excellence, to deliver a huge variety of entertainment in over 50+ languages to more than 150 countries. 
 
Description 
 
The App Store team powers the data backbone behind discovery, search, trust and safety, developer insights, and experimentation across billions of daily user interactions. We ingest, model, and activate high-volume event data in near real time with uncompromising standards for privacy, reliability, and latency. As a Senior Software Engineer, you will design and operate large-scale distributed systems and build production-grade Generative AI applications that make App Store signals useful, safe, and actionable for teams across the Apple. &quot;,&quot;responsibilities&quot;:&quot;Architect and operate petabyte-scale App Store pipelines with strict SLAs. 
 
Define event taxonomies, schemas, and governance to ensure durable contracts, lineage, and high-quality metadata. 
 
Ship privacy-by-design processing: PII minimization, consent enforcement, differential privacy, and edge-friendly patterns. 
 
Build production GenAI services with App Store context: embeddings, vector search, RAG, prompt orchestration, guardrails, and automated evals. 
 
Lead incident response and root-cause analysis; automate backfills, reprocessing, and lineage-aware rollbacks. 
 
Mentor engineers, influence architectural roadmaps, and improve on code quality, testing, performance, reliability, and documentation. 
 
Preferred Qualifications 
 
Familiarity shipping GenAI apps to production: embeddings, vector DBs, RAG, prompt orchestration. 
 
Excellent communication and collaboration skills; ability to influence multi-functional partners and drive complex projects to completion. 
 
Minimum Qualifications 
 
8+ years of hands-on software engineering experience building large-scale data systems. 
 
Strong programming skills in one or more of Scala and Java. 
 
Hands-on expertise with distributed data systems such as Spark, Kafka, Hadoop, Flink. 
 
Solid foundation in data storage and SQL : (S3/HDFS/Parquet), and lakehouse tables (Iceberg/Delta/Hudi). 
 
Solid systems fundamentals: algorithms, data structures, concurrency, consistency, caching, and observability. 
 
Built and operated services with Docker/Kubernetes, automated CI/CD and low-latency inference systems. 
 
BS/MS/PhD in Computer Science or related field, or equivalent experience. 
 
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 . 
 
Pay &amp; 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 $181,100 and $318,400, 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.

Senior Software Engineer, App Store Data

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you can accomplish. 
 
Would you like the stimulation and challenges of building world-class, extraordinary scalable systems that power App Store, Music, TV+, Fitness+, Arcade, Payments and many more? Then this is the opportunity for you at Apple! We strive to provide a flawless experience for millions of customers and developers. 
 
We are seeking a Software Engineer to join Apple Services Engineering (ASE) who brings deep passion for building distributed large scale data processing systems, frameworks and platforms using big data technologies. 
 
Description 
 
Data is our first class citizen and the foundation of any AI features. The volume of the data is on petabytes scale. And we are software engineers who build distributed systems to generate data analytics. The systems should scale well, be highly available and provide consistent results. 
 
The systems we build have significant impact on our stakeholders. And most importantly, we are deeply committed to Apple&rsquo;s privacy policy, which forms Apple&rsquo;s core values. You will have important responsibility and influence in designing and building the data platform to empower businesses, operations, data analytics and AI feature. &quot;,&quot;responsibilities&quot;:&quot;Join a fast growing team of data engineers to develop and iterate quickly on all stages of data processing. 
 
Lead, design, develop, and drive the unique solutions necessary to scale to Apple Service&rsquo;s diverse data requirements. 
 
Innovate and inspire a scalable data vision for current and extension to support AI needs. Influence internal teams, partners, and stakeholders to execute on that vision. 
 
Drive for quality, scalability and a strong collaborative environment. 
 
Preferred Qualifications 
 
Strong analytical skills with solid understanding of data structures and algorithms. 
 
Excellent communicator, able to explain complex concepts clearly. 
 
Strong interest in processing data to power embedded and AI features. 
 
Minimum Qualifications 
 
BS/MS in Computer Science or related field with 8+ years of experience. 
 
Strong programming skills in Java, Scala, SQL, with hands-on experience in distributed compute/storage systems like Spark, Iceberg, Cassandra, Hadoop/HDFS, AWS/S3. 
 
Multi-year experience in big data processing of batch and streaming using Flink and Spark. 
 
Proven ability to lead engineering projects from design to production across teams. 
 
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 . 
 
Pay &amp; 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 $181,100 and $318,400, 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.

Sr. Software Engineer, Big Data - Apple Services Engineering

The Apple Services Engineering team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. This team powers the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books, operating at massive scale and meeting Apple&rsquo;s high standards for performance and quality to deliver entertainment in over 35 languages across more than 150 countries. 
 
We are seeking a Software Engineer to join Apple Services Engineering (ASE) who brings a deep passion for building large-scale distributed data processing systems, frameworks, and platforms using big data technologies. 
 
Description 
 
As a team member of the ASE Analytics &amp; Data Engineering team, you will have significant responsibility and influence in shaping the team&rsquo;s future direction. This role is inherently cross-functional, and the ideal candidate will work closely across disciplines. We are looking for someone with a strong love for data and the ability to iterate quickly across all stages of the data pipeline lifecycle. 
 
This position involves working on a small, highly collaborative team to develop large-scale data pipelines and analytical solutions using big data technologies. Successful candidates will demonstrate strong engineering and communication skills, along with a belief that data-driven processes lead to exceptional products. You should have a passion for quality and an ability to understand and evolve sophisticated systems. 
 
&quot;,&quot;responsibilities&quot;:&quot;You will have the opportunity to: 
 
Work with a cross-functional team, collaborating with partners across product, engineering, operations, and business, and closely partner with stakeholders to translate requirements into scalable engineering solutions 
 
Help drive architectural vision to support future growth and opportunities 
 
Design, build, and maintain data pipelines and datasets that power key product features and insights, while protecting user privacy 
 
Own data quality, scalability, and SLAs for assigned datasets and pipelines 
 
Champion technical excellence and cultivate team spirit by contributing to best practices, documentation, shared tools, and solutions to common problems 
 
Preferred Qualifications 
 
Experience with GDPR compliance and best practices for collecting, processing, and sharing data responsibly. 
 
Excellent collaboration and communication skills, with the ability to listen, influence, and drive solutions cohesively. 
 
Minimum Qualifications 
 
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, a related quantitative field, or equivalent practical experience. 
 
3+ years of experience building production systems using Java and/or Scala, with strong proficiency in Java and/or Scala for large-scale distributed data processing and familiarity with functional programming paradigms. 
 
Strong computer science fundamentals with proven problem-solving skills. 
 
Deep understanding of distributed batch and streaming data processing systems such as Spark, Flink, and Kafka. 
 
Experience with big data ecosystem technologies such as HDSF, Hadoop, S3, MPP database, Kubernetes and Airflow. 
 
Proven track record of designing, launching, and scaling production-quality data pipelines that power product features. 
 
Strong data intuition, backed by solid SQL and data analysis skills. 
 
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 . 
 
Pay &amp; 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.

Software Engineer, Big Data - Apple Services Engineering

At Apple, we focus deeply on our customers&rsquo; experience. Apple Ads brings this same approach to advertising, helping people find exactly what they&rsquo;re looking for and helping advertisers grow their businesses. 
 
Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. 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. 
 
Description 
 
As a Data Site Reliability Engineer in Apple Ads, you will focus on designing, building, and managing cloud-based systems and infrastructure that stores, process, transforms and analyzes large datasets. You will ensure data and corresponding infrastructure is accessible, reliable, and secure within the cloud environment, working with various Apple Internal and 3rd party cloud providers like AWS.&quot;,&quot;responsibilities&quot;:&quot;Your high-level responsibilities will include: 
 
Design, build and manage large scale distributed data systems on AWS using services such as EMR, EKS, MSK. 
 
Design and develop internal tooling and automation frameworks to improve data infrastructure reliability, cost-efficiency, and operational visibility. 
 
Collaborate with cross-functional engineering teams like advertising, machine learning and data platforms to define infrastructure architecture, troubleshoot complex issues, and drive production excellence. 
 
Lead initiatives to eliminate toil via automation, improve efficiency and scalable deployment patterns. 
 
Contribute to strategic decision making related to adoption of a multi-cloud echo system to maintain operational excellence on the current stack while still enabling the path for future innovation. 
 
Preferred Qualifications 
 
Proven experience as a committer to open-source projects like Apache Spark, Flink, etc 
 
Track record of driving automation, cost optimization and performance tuning at scale for data systems. 
 
Experience leveraging ML and GenAI capabilities to improve infrastructure and Operational efficiency is a plus. 
 
Experience driving adoption of new technologies and influencing designing of systems. 
 
Strong programming skills on object-oriented, functional or procedural programming languages, preferably Java / Scala / Kotlin / Python 
 
Experience designing and managing Infrastructure as Code with Helm and CRD, ensuring repeatable, secure, and scalable deployments. 
 
Minimum Qualifications 
 
5+ years of experience in Site Reliability Engineering with a strong focus on building, scaling and operating cloud based distributed data systems. 
 
Proven expertise running cloud infrastructure built on managed services offered by cloud providers like AWS 
 
Strong technical grasp and experience working on Open Source technologies designed for large scale data processing, like Apache Spark, Flink, Kafka, Iceberg, etc. 
 
Big Data processing and storage systems (streaming and batch) 
 
Strong expertise and experience with container orchestration systems like Kubernetes 
 
Experience designing, analyzing and troubleshooting large-scale distributed systems. 
 
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 . 
 
Pay &amp; 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.

Senior Site Reliability Engineer (SRE), Data - Apple Ads

We are looking for a Senior Software Engineer to join our Data Engineering Infrastructure team, which builds and operates the foundational platforms that power data ingestion, transformation, and analytics across the organization. You will design and develop high-performance, reliable, and scalable systems that enable data engineers, analysts, and ML practitioners to move, process, and govern data efficiently and securely. 
 
Description 
 
As a Senior Software Engineer in the Data Engineering Infrastructure team, you will design and build distributed systems and frameworks that automate the lifecycle of data - from ingestion to transformation to serving. You&rsquo;ll work at the intersection of software engineering, distributed data processing, and cloud infrastructure, helping to define the standards, abstractions, and tools that enable our data platform to operate at scale. 
 
You will collaborate closely with teams across data engineering, analytics, ML, and platform engineering to deliver resilient infrastructure components such as data ingestion pipelines, metadata and schema management services, workflow orchestration, and monitoring frameworks. This is a hands-on role where you will influence architecture, write production-grade code, and drive engineering excellence across the data platform.&quot;,&quot;responsibilities&quot;:&quot;Design, build, and maintain scalable data infrastructure and frameworks supporting batch and streaming workloads. 
 
Develop common services for data ingestion, schema evolution, metadata management, and data quality enforcement. 
 
Implement automation for data pipeline deployment, monitoring, and governance. 
 
Collaborate with data engineers and platform teams to define APIs, SDKs, and libraries that make developing data applications simpler and safer. 
 
Improve performance, reliability, and observability of data pipelines and platform components. 
 
Participate in architecture reviews, code reviews, and technical design discussions. 
 
Drive adoption of best practices in distributed systems, storage formats (Parquet, Iceberg), and data access layers. 
 
Contribute to capacity planning, cost optimization, and operational excellence in cloud and on-prem environments. 
 
Mentor junior engineers and contribute to the overall technical strategy and roadmap for the data platform. 
 
Preferred Qualifications 
 
Deep expertise in optimizing and troubleshooting distributed data frameworks (e.g., Apache Spark internals, Flink stateful streaming, Kafka Connect) 
 
Advanced experience with workflow orchestration tools (e.g., Airflow, Prefect, Dagster), including custom development 
 
Proven track record in performance tuning, cost optimization, and designing comprehensive observability solutions for large-scale cloud data platforms 
 
Familiarity with data security, privacy, and compliance principles within data infrastructure 
 
Experience integrating data platforms with MLOps and machine learning workflows 
 
Active participation or contributions to relevant open-source data technologies or industry communities 
 
Master&rsquo;s or Ph.D. degree in Computer Science, Data Engineering, or a related quantitative field 
 
Minimum Qualifications 
 
12+ years of experience in software engineering, with at least 5 years focused on data systems or platform infrastructure 
 
Proven track record of leading design discussions, mentoring engineers, and driving cross-team technical initiatives 
 
Strong programming skills in Java, Python; Scala - nice to have 
 
Hands-on experience designing, developing, and operating high-performance backend services 
 
Hands-on experience with distributed data frameworks such as Spark, Flink, or Kafka 
 
Solid understanding of data modeling, storage formats (Parquet/Avro/ORC), and partitioning strategies 
 
Experience with data governance, cataloging, and schema management systems (e.g., Hive Metastore, Glue, Iceberg, Delta Lake) 
 
Experience working with cloud-based data platforms (AWS, GCP, or Azure) 
 
Experience building data infrastructure frameworks, SDKs, or shared libraries used by multiple data teams 
 
Familiarity with CI/CD, container orchestration (Kubernetes), and infrastructure-as-code tools (Terraform, CloudFormation) 
 
Excellent problem-solving, debugging, and communication skills 
 
Bachelor&rsquo;s degree in Computer Science, Engineering, or related field (or equivalent practical experience) 
 
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 . 
 
Pay &amp; 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 $181,100 and $318,400, 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.

Senior Software Engineer - Data

Explore 101+ Staff engineer app store analytics data engineering in Cupertino this April. Find roles across top companies and apply now to boost your career.