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senior engineering manager core data libraries

Apple

The Apple Data Platform team, part of the Services organization, powers analytics and machine learning across Apple. Our mission is to deliver cutting-edge, reliable, and user-friendly infrastructure for data ingestion, storage, processing, and interaction, enabling teams to build data-intensive applications with ease and success. This role sits within the Data Lakehouse team, a part of the Apple Data Platform. The team provides a fully managed Lakehouse solution powered by Apache Iceberg, Iceberg REST Catalog, and custom-built services to manage data at scale. Our platform supports both analytical and machine learning workloads across Apple, serving key products and organizations including Siri, Search, Media, iCloud, News, Apple Intelligence, and Maps. We continuously innovate to meet evolving customer needs and market trends. We seek engineers passionate about building world-class infrastructure products. In this role, you will lead the data lakehouse team, guiding team members in both technical and professional growth. You will collaborate closely with cross-functional teams to lead the planning, execution, and success of technical projects, with a focus on enhancing the experience for Apple&rsquo;s internal customers. 
 
Description 
 
Apple is seeking a highly motivated and experienced Senior Engineering Manager to lead a team responsible for the development and optimization of our core data libraries on our data platform. This role is critical to enabling data-driven decision-making across Apple, powering a wide range of applications from product analytics and machine learning to supply chain optimization and fraud detection. You will be responsible for building and leading a team of talented engineers, driving technical strategy, and ensuring the scalability and performance of our data platform. You will work closely with data scientists, data engineers, and product teams to understand their needs and deliver innovative solutions that leverage the power of cutting edge data processing technologies.&quot;,&quot;responsibilities&quot;:&quot;Team Leadership: Build, mentor, and manage a high-performing team of software engineers specializing in Spark, Iceberg, and related technologies; Foster a culture of collaboration, innovation, and continuous improvement; Provide technical guidance and mentorship to team members, promoting their professional growth; Conduct performance reviews, provide feedback, and identify opportunities for training and development; Manage team workload, prioritize projects, and ensure timely delivery of high-quality solutions. 
 
Technical Strategy and Execution: Define and execute the technical roadmap for our data processing platform, aligning with Apple's overall data strategy; Drive innovation in data processing techniques, exploring new technologies and approaches to improve performance, scalability, and efficiency; Lead the design, development, and deployment of robust and scalable data pipelines using Spark and Iceberg; Ensure the reliability, availability, and security of our data processing infrastructure.; Collaborate with other engineering teams to integrate our data processing technologies with other Apple systems and services. 
 
Stakeholder Management: Partner with data scientists, data engineers, product managers, and other stakeholders to understand their data processing needs and requirements; Communicate technical concepts and solutions effectively to both technical and non-technical audiences; Advocate for best practices in data processing and engineering; Manage expectations and ensure alignment across different teams. 
 
Engineering Thought Leadership: Represent Apple data platform work at external conferences; Deliver presentations, and write blog posts highlighting Apple&rsquo;s leadership in big data processing. 
 
Preferred Qualifications 
 
Proven contributions to open source projects like Spark or Iceberg. 
 
Thought leadership in the community via presentations in conferences or blog posts. 
 
Experience building and growing teams focusing on open source technologies. 
 
Minimum Qualifications 
 
12+ years of software development experience, with a focus on data processing at scale. 
 
8+ years of engineering people management experience-leading, mentoring, and growing teams. 
 
3+ years of experience managing engineering managers. 
 
Deep expertise in open source data platform technologies like Apache Spark and Apache Iceberg. 
 
Excellent communication, interpersonal, and leadership skills. 
 
Strong problem-solving and analytical skills. 
 
BS, MS, or Ph.D. in Computer Science or a related field of study. 
 
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 $228,100 and $393,800, 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 Engineering Manager - Core Data Libraries

Join Apple Maps, where our mission is to build the best map in the world. As a Data Science Software Engineer in the Maps Evaluation organization, you will be instrumental in harnessing the power of user data to strategically inform and influence critical decisions across the Maps organization. We work in a highly collaborative, fast-paced environment where you&rsquo;ll have significant autonomy to define and lead impactful projects, drive substantial change, and contribute your unique perspective to a team committed to creating something truly wonderful. 
 
Description 
 
We seek an experienced software engineer to embed in the data science team to support data science analysis. A major component is supporting prototype metrics, models, and data pipelines that are core to data science work. Additionally, this position will work to build, support, and evolve the frameworks and libraries that help data scientists create data analysis products. Part of the position is hands-on data engineering work, and another part is serving as an internal engineering consultant for data science projects in areas like computation, data access, data storage considerations, and best practices in software engineering. Additionally, you will be working across teams with other engineers embedded in data science teams, and the broader engineering teams in Maps, to contribute to common tools, platforms, and libraries.&quot;,&quot;responsibilities&quot;:&quot;Support the development of data science libraries and frameworks, guiding data scientist contributions and looking for opportunities for improvements 
 
Monitor, maintain, and improve the reliability and efficiency of data pipelines written by the team 
 
Create new data pipelines to make additional sources of data available for geospatial analyses 
 
Guide architecture and data processing decisions made by the data science team for building data products 
 
Collaborate with engineers across Maps to improve the tooling and platforms for data science and analysis 
 
Preferred Qualifications 
 
Data orchestration systems like Airflow, Dagster, or Prefect 
 
CI/CD tools like Github Actions or Travis CI 
 
Maintaining libraries to support analytical, quantitive, and statistical analyses 
 
Working with, or even embedded in, data science teams and helping to build prototypes, data pipelines, and models 
 
Helping mixed technical teams follow software engineering best practices 
 
Processing geospatial or spatiotemporal data 
 
Building front-end applications, particularly dashboards or geospatial visualization 
 
Minimum Qualifications 
 
Excellent programming skills, preferably in Python 
 
2+ Years of experience working with distributed data technologies and large-scale data processing (e.g., Hadoop, Spark, Ray, MPI) 
 
Experience with cloud-based infrastructure 
 
Strong communication and collaboration skills, especially with non-software engineering partners 
 
Bachelor or advanced degrees in Computer Science, Statistics, Physics, Operations Research, Engineering or similar quantitative domain 
 
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 Development Engineer-Eval Data Science

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! 
 
Apple Services Engineering (ASE) is the team behind high-profile services such as the App Store, Apple iCloud, Apple Music, Apple TV+, Apple Arcade and more. 
 
Our Analytics and Data Engineering team is looking for an exceptional Senior Software Engineer to architect and build the large-scale data applications that are the foundation of our content engagement analytics. These processes are critical for providing accurate and timely insights that drive product development, marketing strategies, royalty payouts and overall business growth. 
 
The people here at Apple don&rsquo;t just build products - they build the kind of wonder that&rsquo;s revolutionised entire industries. It&rsquo;s the diversity of those people and their ideas that encourage 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. 
 
Description 
 
As a Senior Software Engineer for the Core Content Engagement Data team, you will be responsible for designing, developing, and maintaining our huge-scale core data pipelines. You will work closely with peer engineering teams, data scientists and other stakeholders to understand their data needs and deliver innovative solutions. Given the size and complexity of our datasets, this is not a trivial task. This data empowers our product, marketing, and feature teams, and is the lifeblood for analytics and data science. You will be building the engineering backbone that our business leaders and analysts depend on to make critical decisions. 
 
Our ideal candidates have outstanding software development skills and are passionate about Big Data. They pay close attention to details and care about data quality. They also are team players - ready to contribute during design sessions, and able to give and receive constructive code reviews. Their curiosity drives them to explore new technologies and apply creative solutions to problems.&quot;,&quot;responsibilities&quot;:&quot;Lead technical discussions with engineering teams, data scientists, and business stakeholders to define data requirements and drive the execution of complex projects. 
 
Take ownership of the full software development lifecycle: architecting, designing, implementing, and testing highly scalable and efficient data processing pipelines. 
 
Create technical design documents and drive consensus across stakeholders. 
 
Work with our QA and SRE teams to establish and meet quality and reliability goals. 
 
Drive innovation and explore new technologies to improve our data infrastructure. 
 
Represent our team in meetings and drive consensus across participants. 
 
Create reusability across our features and our engineering stack e.g. utilising standard libraries and contributing to their development. 
 
Mentor junior engineers on the team, fostering a culture of technical excellence, and elevating the team's capabilities through code reviews and design guidance. 
 
Preferred Qualifications 
 
Experience building streaming data processing systems. 
 
Experience with Apache Flink, Kafka, Cassandra and/or Spark. 
 
Experience building the data infrastructure to support AIML applications, or applying ML techniques to data engineering challenges (e.g., anomaly detection, data quality monitoring). Interest or experience in the GenAI space is a strong plus. 
 
Minimum Qualifications 
 
Proficiency and hands-on experience in at least one of Java or Scala. 
 
Skilled at writing clean, performant and well-tested code, as well as reviewing and debugging existing code. 
 
Solid Computer Science fundamentals, including algorithms and data structures. 
 
Knowledge of the JVM internals. 
 
A strong command of distributed data processing fundamentals and patterns (e.g., partitioning, data locality, distributed consensus). 
 
Excellent communication skills, with the ability to articulate complex technical designs and concepts to both technical and non-technical stakeholders. 
 
Good critical thinking skills. 
 
Undergraduate degree related to computing 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 - Core Content Engagement Analytics and Data

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

Apple Maps and the thousands of applications it empowers are being used by millions every single day! As a fundamental tool for human activity, Maps technology is evolving and new techniques are emerging. 
 
We are looking for a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning models optimized for on-device training and inference. You will partner with a variety of subject experts across the company to build intelligent features and personalized maps experiences. This role involves collaborating with various partners, from engineers to designers, to architect the best overall system. 
 
If you are excited about delivering intelligent, responsive, and personalized experiences to millions of users, we invite you to apply for the job and join us! 
 
Description 
 
Apple Maps Client is looking for a Staff Machine Learning Engineer to drive the design, development, and deployment of machine learning models optimized for on-device training and inference. Partnering with the Apple Neural Engine team to profile model performance, identify bottlenecks, and push the limits of what's possible on-device. Crafting technical design documents for new ML features is a core part of this role- outlining model architecture choices, performance targets, and deployment strategies.Your work includes building integration code that connects ML models with platform frameworks and APIs. You will lead cross-functional team projects. 
 
Beyond individual contributions, you will shape how the team approaches on-device ML. You will establish evaluation frameworks, define quality benchmarks, and write architecture documents that guide the team's direction. You will review code, mentor engineers, and help build a team culture rooted in technical rigor and collaboration. 
 
&quot;,&quot;responsibilities&quot;:&quot;Architect and deliver on-device ML solutions that meet strict latency, memory, power, and accuracy requirements across Apple platforms. 
 
Partner with Services teams on model delivery and update mechanisms( OTA model updates, staged rollouts) and define hybrid inference strategies (on-device vs. server-side). 
 
Collaborate cross-functionally with services, platform, and design teams to influence roadmaps, framework capabilities, and user experiences. 
 
Mentor and grow junior and mid-level ML engineers, fostering a culture of technical excellence, curiosity, and inclusive collaboration. 
 
Champion privacy by design - ensuring ML systems uphold Apple's commitment to user privacy through on-device processing, differential privacy, and minimal data collection. 
 
Preferred Qualifications 
 
Master&rsquo;s, or PhD in Computer Science, Machine Learning, Electrical Engineering, or a related field - or equivalent practical experience. 
 
Familiarity with Swift, and Objective-C. 
 
Experience building and operating end-to-end ML pipelines for on-device models - including training, evaluation, conversion, validation, A/B testing, and OTA model delivery. 
 
Familiarity with federated learning, differential privacy, and on-device training/fine-tuning paradigms. 
 
Minimum Qualifications 
 
Bachelor&rsquo;s in Computer Science, Machine Learning, Electrical Engineering, or a related field - or equivalent practical experience. 
 
Strong software engineering fundamentals in an object-orient programming language, with emphasis on writing production-grade, testable, and maintainable code. 
 
Experience with Systems Programming (frameworks/libraries/daemons). 
 
7+ years of industry experience in machine learning engineering, with at least 2 years focused on on-device/edge ML deployment. 
 
Strong proficiency in ML frameworks and tool chain such as PyTorch, TensorFlow, Core ML, Foundation Models Framework and MLX. 
 
Proven track record of shipping ML models into production at scale on mobile or embedded platforms. 
 
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.

Staff Machine Learning Engineer : Platform Intelligence - Apple Maps

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. 
 
Apple is seeking an experienced, detail-minded data engineering team lead to join our Finance Process, Analytics, Reporting &amp; Technology (PART) Data Operations team. You will lead a team of data engineers delivering trustworthy, high-quality data to our Retail Finance analysts. If you are someone who looks forward to solving complex business problems, developing engineering talent, and building reliable data foundations, please reach out to us. 
 
Description 
 
You will lead a team of data engineers to architect, develop, and test large scale and efficient solutions that provide Apple leadership with the accurate data required to rapidly understand and adapt to changing business conditions. 
 
We are a growing team with plenty of interesting technical and business challenges to solve. We seek a self-starter who is willing to learn fast, adapt well to changing requirements, develop others, and work with cross functional teams.&quot;,&quot;responsibilities&quot;:&quot;Lead, mentor, and develop a team of data engineers, setting technical standards and fostering a culture of engineering excellence 
 
Design and implement scalable, efficient, and high-quality methods of consuming data from a diverse set of sources with variable quality and predictability 
 
Establish and maintain data quality frameworks, including automated validation, monitoring, and alerting 
 
Create data products, enabling self-service and predictability by any consumer 
 
Build libraries and frameworks that drive leverage and productivity for the entire team 
 
Optimize and maintain solutions, driving improvements in efficiency, data quality, and operational excellence 
 
Manage team workload and priorities, balancing competing demands while maintaining quality 
 
Preferred Qualifications 
 
2+ years leading or mentoring other engineers 
 
Expertise in languages like Python and technologies like Airflow, Spark, Trino, Kafka, Docker, Iceberg, Databricks 
 
Hands-on experience with database design and architecture in cloud data warehouses and lakehouse environments 
 
Ability to analyze complex datasets and design solutions with optimum quality and efficiency 
 
Appreciation for data quality and validation in every pipeline 
 
Familiarity with SDLC best practices, version control, CI/CD 
 
Strong communication skills with the ability to translate between technical and business contexts 
 
Experience with cloud services such as AWS, GCP, or Azure for data infrastructure and storage 
 
Experience with streaming interfaces and pipelines 
 
Finance and accounting process experience 
 
Minimum Qualifications 
 
6+ years software engineering, including strong SQL and data focus 
 
BS in Engineering / Computer Science 
 
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 $146,300 and $244,100, 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.

Data Engineer, PART DataOps

Explore 131+ Senior engineering manager core data libraries in Cupertino this March. Find roles across top companies and apply now to boost your career.

131 senior engineering manager core data libraries jobs In Cupertino

Senior Engineering Manager - Core Data Libraries

Senior Engineering Manager - Core Data Libraries

Software Development Engineer-Eval Data Science

Senior Software Engineer - Core Content Engagement Analytics and Data

Senior Software Engineer - Data

Staff Machine Learning Engineer : Platform Intelligence - Apple Maps

Data Engineer, PART DataOps