
10,000+ employees
Founded 2010
🧬 Biotechnology
🏥 Healthcare
đź’Š Pharmaceuticals
Biotechnology • Healthcare • Pharmaceuticals
BeOne Medicines is a global oncology company domiciled in Switzerland that is discovering and developing innovative treatments that are more affordable and accessible to cancer patients worldwide. With a portfolio spanning hematology and solid tumors, BeOne is expediting the development of its diverse pipeline of novel therapeutics through its internal capabilities and collaborations. With a growing global team of more than 11,000 colleagues spanning six continents, the Company is committed to radically improving access to medicines for far more patients who need them.
🔥 0 minutes ago
🇺🇸 United States – Remote
đź’µ $150.9k - $195.9k / year
⏰ Full Time
đźź Senior
đźš° Data Engineer
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10,000+ employees
Founded 2010
🧬 Biotechnology
🏥 Healthcare
đź’Š Pharmaceuticals
Biotechnology • Healthcare • Pharmaceuticals
BeOne Medicines is a global oncology company domiciled in Switzerland that is discovering and developing innovative treatments that are more affordable and accessible to cancer patients worldwide. With a portfolio spanning hematology and solid tumors, BeOne is expediting the development of its diverse pipeline of novel therapeutics through its internal capabilities and collaborations. With a growing global team of more than 11,000 colleagues spanning six continents, the Company is committed to radically improving access to medicines for far more patients who need them.
• Define and evolve enterprise-scale data platform architecture supporting analytical, operational, and AI workloads • Define reusable engineering frameworks, reference architectures, and technical standards • Drive long-term platform strategy focused on scalability, security, performance, and maintainability • Lead architecture reviews, technical design, and engineering governance for strategic initiatives • Partner with engineering leadership to define technology roadmaps and drive engineering best practices • Influence technical decisions across multiple teams without direct people management • Design scalable ETL/ELT frameworks, enterprise data pipelines, and logical and physical data models • Develop reusable, metadata-driven data integration frameworks • Establish standards for data modeling, metadata management, lineage, and performance optimization • Champion AI-assisted software development and evaluate AI coding assistants and engineering productivity tools • Build AI-assisted code generation, automated documentation, code review assistance, test generation, data quality validation, and AI-powered engineering copilots • Drive engineering productivity and innovation through Generative AI • Provide technical leadership across modern cloud technologies • Design secure data platforms with enterprise governance, metadata, lineage, and RBAC/ABAC access controls • Establish software engineering best practices including code quality, testing, automation, observability, and reusable components • Mentor senior and principal engineers • Partner with Product Management, Data Science, Analytics, Data Governance, Enterprise Architecture, and Infrastructure teams • Set technical direction, establish engineering standards, accelerate engineering productivity through automation and AI, and serve as a trusted technical advisor • Deliver scalable, reliable, secure enterprise data platforms and strategic data initiatives
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field • 7+ years of experience in Data Engineering, Software Engineering, or Data Platform Engineering • Extensive experience designing enterprise-scale cloud data platforms and data architectures • Strong expertise in conceptual, logical, and physical data modeling • Expert-level programming skills in Python and SQL • Hands-on experience with Databricks, Azure, AWS, Docker, Kubernetes, Git, REST APIs, and CI/CD • Strong understanding of software architecture, design patterns, distributed systems, and secure data platform design • Ability to lead highly complex technical initiatives through influence rather than direct people management • Excellent communication, stakeholder management, and technical leadership skills • Experience in pharmaceutical, biotechnology, healthcare, or other regulated industries preferred • Experience with Databricks Unity Catalog, enterprise data governance, metadata management, and observability preferred • Experience with Infrastructure as Code, such as Terraform or Bicep, preferred • Experience applying Generative AI to software and data engineering preferred
• Annual bonus plan eligibility for Non-Commercial roles • Incentive compensation plan eligibility for Commercial roles • Discretionary equity awards opportunity • Employee Stock Purchase Plan • Medical insurance • Dental insurance • Vision insurance • 401(k) • FSA/HSA • Life Insurance • Paid Time Off • Wellness
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