{"id":2135604,"url":"https://alion.io/job/apple-ai-data-etl-operation-engineer","title":"AI Data ETL & Operation Engineer","company":{"id":12,"name":"Apple","domain":"apple.com","url":"https://alion.io/company/apple","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Apple Jobs","truth_index":{"grade":"A","score":91,"open_postings":931,"ghost_share":0.001,"stale_share":0.151,"repost_share":0.003,"time_to_fill_p50_days":102,"computed_at":"2026-10-26T05:57:25Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Beijing, China"],"countries":["CN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":40000,"max_usd":118000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":18},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Dimensional Modeling","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"AWS","optional":true}],"status":"live","first_seen_at":"2026-04-01T09:11:07Z","employer_posted_date":"2026-10-24","last_verified_at":"2026-10-26T14:55:05Z","board_verified":true,"closed_at":null,"days_open":208,"trust":{"level":"ok","repost_count":0,"flags":[],"days_open":207},"description":"At Apple, we believe in hard work, a fun environment, and the creativity and innovation that only comes about when hardworking people from diverse backgrounds approach problems from varying perspectives The people here at Apple don’t just build products - they craft the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that encourages 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! Building this environment starts with YOU!\nAt Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. If you bring passion and dedication to your job and there's no telling what you could accomplish.\nThis is a visible and important role at Apple in China and will have great impact on Sales Team. The individual in this role will be responsible for interpreting quantitative data and developing statistical models to forecast and monitor sales demand & supply for sales analytics team.\nDescription\nWe are seeking a highly motivated Data Engineer to join our dynamic team. Key responsibilities include:\n- Design & Architecture: Design, build, and manage robust, cloud-based data warehouses and data access layers to support Apple’s global and regional sales teams.\n- Pipeline Development: Develop highly scalable and secure data pipelines to ingest, process, and serve data from a multitude of source systems.\n- AI & Automation: Leverage modern AI tools and techniques to enhance and automate data workflows, including orchestration, scheduling, and monitoring.\n- System Optimization: Analyze and optimize existing data systems to provide continuous improvements and ensure peak performance.\n- Data Integrity & Quality: Uphold the absolute highest standards of data integrity and quality, ensuring all data delivery is reliable and accurate.\n- Problem Solving: Solve tough technical challenges and critical business problems in a collaborative, fast-paced environment. Conduct in-depth and comprehensive data exploration on ingested multi-source data, combine business background and actual demands to carry out professional data solution\nMinimum Qualifications\n3+ years of professional experience in data modeling and data pipeline development.\nExpert proficiency in SQL for complex data manipulation, and strong programming skills in Python for data processing and automation.\nDeep understanding of dimensional modeling and data warehouse architecture principles.\nHands-on experience with both relational and NoSQL database systems.\nExceptional data exploration and analysis skills, with a proven ability to uncover insights and validate data quality.\nStrong English proficiency, able to efficiently communicate and collaborate with global teams in English for daily work\nPreferred Qualifications\nDemonstrated ability to apply AI-powered tools and methodologies to improve data pipeline efficiency and reliability.\nDetailed understanding of OLTP and OLAP 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