Data Iceberg Developer Jobs

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Today

Apple Cupertino, CA

Cupertino, CA

Today

$129k - $195k/yr Full time Artificial Intelligence Big Data Bigdata

Build privacy-focused data engineering and machine learning systems for advertising at Apple Ads within the Data Org.

Engineer secure, scalable data and machine learning systems for real-time, near-real-time, and batch processing using Spark, Kafka, Iceberg, and related technologies
Own end-to-end delivery of core components, from pipeline architecture to ML model development, training, and deployment
Design and support privacy-preserving, mission-critical data and ML infrastructure
Improve reliability, performance, and efficiency across systems, including schema changes and backfills
Build and maintain experimentation and testing infrastructure to validate changes (including A/B testing)
Apply strong understanding of the intersection between business, analytics, and engineering to deliver reusable, efficient solutions
Use LLMs and AI coding agents (e.g., Claude, Gemini) daily for implementation, testing, and debugging while validating results for correctness, privacy, and cost
Collaborate with engineers and product managers through code and design reviews; mentor others as seniority increases
Participate in on-call, monitoring, and continuous reliability and efficiency improvements; more senior engineers lead incident response and root-cause analysis
Work in an Agile, sprint-based environment with emphasis on reliability, resiliency, extensibility, scalability, and productivity

1+ years of industry experience building scalable data pipelines and machine learning systems, or other distributed software at scale
Strong computer science and software engineering fundamentals
Proficiency in modern programming languages such as Rust, Python, Java, or Scala
Experience with distributed systems and data processing technologies, such as Spark, Kafka, Flink
Experience building and scaling systems on premise and in the cloud
Solid understanding of data structures, algorithms, and system design
Ability to communicate effectively with cross-functional teams (technical and non-technical)
Hands-on experience using LLMs (e.g., Claude, Gemini) for daily engineering work including code generation, review, debugging, test writing, agentic loops, and evaluation systems
Excellent collaborative skills
BS/MS in Computer Science, Software Engineering, Distributed Systems, or a related field

Comprehensive medical and dental coverage
Retirement benefits
Discounted products and free services
Reimbursement for certain educational expenses, including tuition
Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs
Discretionary restricted stock unit awards
Purchase Apple stock at a discount with participation in Apple’s Employee Stock Purchase Plan
Discretionary bonuses or commission payments (as applicable)
Relocation (as applicable)

Experience with NoSQL datastores (e.g., Cassandra, Keyspaces, ElastiCache)
Experience with lakehouse and Iceberg table formats
Experience with anomaly detection
Experience with A/B experimentation frameworks
History of driving reliability, efficiency, or cost improvements, and mentoring other engineers
Comfort working in a rapidly changing environment with ambiguous requirements
Prior experience in the advertising industry (huge plus)

Location: Cupertino, CA (onsite)
Salary: USD 129,300 - 194,700 per year

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