{"id":3993685,"url":"https://alion.io/job/apple-health-research-data-engineer","title":"Health Research Data 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":89,"open_postings":835,"ghost_share":0,"stale_share":0.217,"repost_share":0.006,"time_to_fill_p50_days":90,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Java","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-09T20:29:08Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T00:24:00Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"At Apple, we want to make great products that empower people to improve their health. We are seeking an energetic and self-sufficient data engineer to join Apple's Health Research Data team to help us define, process, and manage the data used to improve existing health experiences, as well as create new ones. You will work with health research data, including data collected from the Apple Research app. As a member of our fast-paced group, you will not only have the unique and rewarding opportunity to accelerate upcoming features that will delight and inspire millions of Apple customers every day, but also contribute to applied health research by Apple and our academic partners.\nDescription\nWe are seeking a data engineer to design and build robust data models and scalable data processing pipelines that transform complex health data. We need to reliably produce well-understood, easy-to-use datasets that can answer existing and future analytical questions. You will focus on core tools, frameworks, and patterns that will enable the whole team to meet our data quality and monitoring goals. If you believe the transformative power of data can only be fully harnessed when data management is treated as a first-class priority, this role was built for you.\nIn addition to using technical knowledge to drive features and improvements, you must be comfortable with rapidly evolving requirements and have excellent interpersonal skills. You will work closely with cross-functional partners across clinical, operational, product, legal, privacy, and engineering teams to gather requirements, design, implement, and manage studies through the collection, processing, and use of data. This is a high-impact, highly autonomous role for someone who pairs technical rigor with deep curiosity and an interest in making things better.\nMinimum Qualifications\nBachelor's degree in Computer Science, Data Science, or a related field, or equivalent work experience.\nEnthusiasm for and experience working with data.\nExcellent programming skills in at least one of Scala, Java, or Python.\nProficiency in SQL.\nSolid understanding of fundamental computer science concepts.\nStrong problem solver with meticulous attention to detail.\nHighly organized, creative, motivated, and passionate about achieving results.\nExcellent interpersonal skills and the ability to work well with other engineers by listening, communicating clearly, and actively sharing knowledge.\nPreferred Qualifications\nHands-on experience with data modeling for large analytical workloads.\nAdvanced SQL proficiency and experience with Python for data wrangling, exploratory data analysis, and building rich reports and 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