Senior Data and Applied AI Engineer, Core Data & Intelligence
Job Description
Design and deliver the data platform and applied AI capabilities that enable iCloud analytics and decision-making.
Responsibilities
- Build large-scale data pipelines and backend services
- Partner closely with teams across iCloud to translate business needs into data solutions
- Iterate quickly across the pipeline development lifecycle
- Exercise real ownership and influence over the data platform that powers iCloud analytics
- Help drive decisions across Apple products through improved data capabilities
Requirements
- 8+ years building efficient, large-scale data pipelines using Spark and other distributed data technologies (e.g., Hadoop, Presto, Flink, Druid)
- Highly proficient in at least one of Java, Python, or Scala
- Strong SQL skills
- Deep expertise in data principles, data architecture, and data modeling
- Solid understanding of the data lifecycle, including lineage, governance, privacy, retention, and anonymity
- Hands-on experience working with LLMs and developing AI agents
- Bachelor’s degree in Computer Science or Engineering (or equivalent work experience in data engineering)
Preferred Qualifications
- Experience designing and building LLM-powered applications and intelligent agents at scale
- Experience in a complex, matrixed organization on cross-functional or cross-business projects
- Strong communication and collaboration skills, including leading discussions on technology strategy and approach
- Proven track record of improving how an organization uses data
Technologies
- Spark
- Hadoop
- Presto
- Flink
- Druid
- Java
- Python
- Scala
- SQL
- LLMs
- AI agents
Benefits
- Comprehensive medical and dental coverage
- Retirement benefits
- Discounted products and free services
- Reimbursement for certain educational expenses, including tuition
- Discretionary bonuses or commission payments and relocation (as applicable)
- Apple shareholder opportunity through Apple’s discretionary employee stock programs, including eligibility for discretionary restricted stock unit awards and the ability to purchase Apple stock at a discount if voluntarily participating in the Employee Stock Purchase Plan
Location: Seattle, WA (onsite) Compensation: USD 175,000 - 308,500 per year
Minimum experience: 8 years
Education: Bachelor’s degree in Computer Science or Engineering (or equivalent work experience in data engineering)