Apple · 5 months ago
AI Data Integration Engineer
Cupertino, California, United States
Full-time
Onsite
Mid, Senior Level
$118K/yr - $198K/yr
5+ years expApple is a leading technology company known for its innovative products and services. The AI Data Integration Engineer will be responsible for developing infrastructure, systems, and tools to automate sales processes while leveraging Artificial Intelligence and Machine Learning. This role will focus on building and maintaining data pipelines for both structured and unstructured data to support AIML initiatives.
AppsArtificial Intelligence (AI)BroadcastingDigital EntertainmentFoundational AIMedia and EntertainmentMobile DevicesOperating SystemsTVWearables
Responsibilities
Development and design of data integrations and data ingestion processes for Apple internal and external data
Develop data models and mapping rules to transform raw data into actionable insights and reports
Design and implement a semantic layer that integrates analytics data from multiple sources in an efficient and effective manner
Collaborate with the analytics and data science teams to understand their requirements and deliver solutions that meet their needs
Collaborate with internal business partners, internal technology resources (database, system, networking), external vendors, and partners
Play an active role in the development and maintenance of user documentation, including data models, mapping rules, and data dictionaries
Ensure data quality and accuracy by developing data validation and reconciliation processes
Build and maintain data pipelines for ingesting, processing, and transforming unstructured data sources, such as customer feedback, social media data, or sales call recordings
Develop data quality monitoring and validation processes specifically for AIML datasets, including identifying and addressing data bias
Work with data scientists to understand data requirements for AIML model training and deployment, ensuring data is available in the appropriate format and quality
Implement data governance policies and procedures to ensure the responsible and ethical use of data in AIML applications
Qualification
Required
Eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment
5+ years of experience in designing, building, and maintaining scalable data solutions for large-scale analytics
Proficiency in SQL and development experience with cloud database environments like Snowflake, Redshift or Databricks
Proficiency in programming languages like Python, Java or R and open-source frameworks for distributed processing like Hadoop and Spark
Hands on experience using development tools in a modern cloud data stack for code management, versioning using Git, CI/CD tools, automation and orchestration using Apache Airflow or others and monitoring & alerting
Architecting and developing data pipelines through ETL tools, API integrations with systematic and cloud based source systems
Strong understanding of data modeling, data warehousing, and ETL concepts (Jupyter Notebooks, Dataiku experience is a plus)
Experience with Cloud platforms AWS, Azure, Google Cloud
Handing unstructured data (e.g., JSON, Parquet, text, images, audio, video)
Experience with data governance and observability tools (e.g., Datahub, Collibra, etc…)
Experience articulating and translating business questions into data solutions and proven ability to lead development projects from start to finish
Experience and understanding of API development (REST, GraphQL, gRPC)
Broad knowledge of web standards relating to REST, HTTP, JSON, etc
Experience with basic frontend dev (HTML, CSS, JavaScript, Bootstrap, JQuery, etc)
Experience with data labeling and annotation tools and processes
Familiarity with AI/ML model development lifecycle and data needs for training and deployment
Ability to balance competing priorities, long-term projects, and ad hoc requirements
Ability to work in a fast-paced, dynamic, constantly evolving business environment
B.S Degree in Computer Science/Engineering, or equivalent work experience
Preferred
Experience with cloud-based AIML platforms (e.g., AWS, Azure, Google Cloud)
Knowledge of data augmentation techniques for improving AIML model performance
Experience with data labeling platforms such as Amazon SageMaker Ground Truth, Labelbox, or similar tools for managing annotated datasets
Experience with feature engineering for unstructured data
Understanding of responsible AI principles and data privacy regulations (e.g., GDPR, CCPA)
MS Degree in Computer Science/Engineering, or equivalent work experience
Benefits
Comprehensive medical and dental coverage
Retirement benefits
A range of discounted products and free services
Reimbursement for certain educational expenses — including tuition
Discretionary bonuses or commission payments
Relocation
Company
Apple
Apple is a technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10001+ employees
H1B Sponsorship
Apple has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (6998)
2024 (3766)
2023 (3939)
2022 (4822)
2021 (4060)
2020 (3656)
Funding
Current Stage
Late StageTotal Funding
$5.67BKey Investors
Berkshire HathawayMicrosoftSequoia Capital
2026-01-10Pre Seed· $1M
2025-05-05Post Ipo Debt· $4.5B
2025-01-16Post Ipo Debt· $0.31M
Leadership Team
Tim Cook
CEO
Craig Federighi
SVP, Software Engineering
Recent News
Venrock
2025-12-01
2025-09-25
Mac Daily News
2025-09-25
Company data provided by crunchbase