Prescriptive analytics • Hospital Operations • Healthcare • Lean • Performance Improvement
7 hours ago
Prescriptive analytics • Hospital Operations • Healthcare • Lean • Performance Improvement
• On this journey for over 12 years, Qventus is leading the transformation of healthcare. • We enable hospitals to focus on what matters most: patient care. • Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise. • Our success in rapid scale across the globe is backed by leading investors. • You will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. • We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations. • We are seeking a dynamic and adaptable Data Engineer to join our team and contribute to the next evolution of Qventus's products. • This role involves enhancing our data processing and analytics capabilities with a strong focus on healthcare operational efficiency. • You will work closely with our Founders and engineering team to develop innovative solutions that impact patient care.
• Practiced cross-functional communication - ability to break down complex technical components for technical and non-technical partners alike • Aptitude for interpreting complex datasets, including the ability to discern underlying patterns, identify anomalies, and extract meaningful insights, demonstrating advanced data intuition and analytical skills. • Experience in quality data pipeline design, development, and optimization to create reliable, modular, secure data foundations for the organization's data delivery system from applications to analytics & ML • Experience building, designing, and/or developing with DBT • Experience with data visualization tools and analytics technologies (Sigma, Tableau, etc.) • Interest in mentoring and supporting new developers • 3+ years of experience designing, building, and operating cloud-based, highly available, observable, and scalable data platforms utilizing large, diverse data sets in production to meet ambiguous business needs • Relevant industry certifications in a variety of Data Architecture services (SnowPro Advanced Architect, Azure Solutions Architect Expert, AWS Solutions Architect / Database, Databricks Data Engineer / Spark / Platform etc.) • Experience partnering with AI /ML teams • Degree in Computer Science, Engineering, or related field • Experience working with healthcare data and HIPAA data protection • Experience developing on a diverse set of modern data architecture designs and their relative capabilities and use cases (ex. Data Lake, Lakehouse, Lambda)
• Parental and Pregnancy Leave • Annual office set-up stipend • Annual continuing education stipend • Monthly Wellness and Technology stipend up to $25 per month
Apply NowNovember 12
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