2 days ago
Sunnyvale, CA, USAMid Level
H1B sponsor
Responsibilities
- Design and build robust data models for large analytical workloads.
- Develop scalable data processing pipelines that transform complex health data.
- Produce reliable, well-understood, easy-to-use datasets for analytical questions.
- Define tools, frameworks, and patterns that support data quality and monitoring goals.
- Collaborate with clinical, operational, product, legal, privacy, and engineering partners to gather requirements.
- Design, implement, and manage studies through data collection, processing, and use.
- Drive features and improvements while adapting to rapidly evolving requirements.
Requirements
- Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent work experience.
- Experience working with data and strong programming skills in at least one of Scala, Java, or Python.
- Proficiency in SQL and a solid understanding of fundamental computer science concepts.
- Strong problem-solving ability, meticulous attention to detail, organization, creativity, motivation, and results orientation.
- Excellent interpersonal, communication, collaboration, and knowledge-sharing skills.
- Preferred: hands-on experience with data modeling for large analytical workloads.
- Preferred: advanced SQL and Python experience for data wrangling, exploratory data analysis, and rich reports and dashboards.
- Preferred: experience with large-scale distributed processing engines, ideally Spark.
- Preferred: experience with Airflow or other modern data orchestration tools.
Tech Stack
Categories
Data Engineering
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.