Sr. Data Engineer - Services Special Projects

Role Number: 200684821Team: Software and ServicesLocation: CupertinoWeekly Hours: 40Posted: 2026-10-21SummaryAt Apple, great ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Our team is building a massive, real-time platform that transforms continuous streams of multimodal data (including structured, image, and log data) into an intelligent, searchable foundation.By enriching this data with language and embedding models, we power critical experiences for billions of Apple customers across multiple downstream applications.DescriptionWe are seeking an experienced Data Engineer with deep expertise in ETL/ELT, data architecture, and applied ML pipelines to design, build, and operate this infrastructure. As a key member of the team, you will be responsible for creating the massively scalable pipelines that turn raw data into a trusted foundation, driving critical decision-making and operations across the entire system.Minimum QualificationsMasters Degree10+ years of experience in data engineering, including building and maintaining large-scale ETL/ELT data pipelinesProficiency in data modeling, especially dimensional modeling, and designing schemas optimized for analytics and reportingExperience with leveraging databases including SQL/NoSQL Databases (including Postgres / Cassandra / Redis)Strong experience with distributed data processing frameworks including Apache SparkStrong experience with Parallel processing frameworks: BigTable/HadoopStrong software engineering fundamentals and proven experience with Scala, JavaHands-on experience with Apache Kafka, Iceberg, and Flink.Experience with workflow orchestration tools including Apache Airflow and BeamExperience with AWS: e.g., S3, EMR, Lambda, Glue, Redshift, BigQuery, Kinesis, or similar servicesExperience with Analytics frameworks including Trino (Presto, BigQuery, Snowflake)Hands-on experience with big data lake architecturesExperience with containerization and orchestration (Docker, Kubernetes/EKS) and CI/CD tooling including JenkinsExperience in Python and PySparkFamiliarity with graph databases such as TigerGraphExperience building pipelines that process multimodal data (structured and image) and integrate ML model inference - including LLMs and embedding models - for data enrichment and transformationHands-on experience deploying, serving, and optimizing LLMs or ML models directly in the production, inference runtimes/compilers (ONNX Runtime, TensorRT/TensorRT-LLM), and serving frameworks (Triton, vLLM, TorchServe or similar).Experience tuning batching, KV-cache, and GPU utilization for low-latency, high-throughput real-time inference in a data pipelineKnowledge of data governance principles, data security best practices, and data privacy regulationsPreferred QualificationsExperience with data versioning tools and frameworks (e.g., DVC, Delta Lake)Excellent communication skills and a collaborative mindsetExperience storing/serving embeddings (e.g., pgvector, Milvus, FAISS)Pay & BenefitsAt 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 $184,700 and $324,800, 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 BenefitsNote: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.EEO StatementApple 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 applicantAccessibilityAt Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.Learn about accessibility in Apple’s workplaceLearn about reasonable accommodations for job applicantsApplication DeadlineApple accepts applications to this posting on an ongoing basis.