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 some of the world's leading investors. At Qventus, 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.

#LI-MB1 Qventus is looking for a Senior Data Engineer to pioneer new data solutions at Qventus. Our Data team ensures that Qventus data users have the data they need to build and drive new and existing Qventus products at scale and cost. This includes bidirectional integration with hospital EMR sources via multiple channels (eg.

FHIR), complex highly secure (HIPAA) transformations capable of normalizing information across various workflows and client nuances, integration with & discovery of multiple third party datasets from customer data to big-data claims, and more. Our products span the machine learning based orchestrations, real time hospital reporting, analytical insights, and interactive applications needed to improve the lives of patients and doctors across the country. As a Senior Data Engineer, you will lead the design, development, and management across investments data assets & data pipelines.

You will identify, monitor, and lead initiatives to collect, explore, and model data in close partnership with our data modeling lead and integrations partners. You will work closely with solution experts to design, iterate, and develop strategic enhancements to our Qventus foundational data model.

Requirements

and quality checks. You will be data curious and excited to have an impact on the team and in the company and to improve the quality of healthcare operations.

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Key Responsibilities

Spearhead the discovery, evaluation, and integration of new datasets, collaborating (incl. pipeline development and data modeling/documentation) working closely with key data stakeholders to understand their impact and relevance to our core products and the healthcare domain. Facilitate the technical management of data assets - clearly tracking and maintaining context on the data within the dataset lifecycle and sustaining tight partnerships with immediate partners on ingestion & solution data engineering Translate product / analytical vision into highly functional data pipelines supporting high quality & highly trusted data products (incl.

). Set the standard for data engineering practices within the company, guiding the architectural approaches, data pipeline designs, and the integration of cutting-edge technologies to foster a culture of innovation and continuous improvement.

What We’Re Looking For

Excellent cross-functional communication - the ability to break down complex technical components for technical and non-technical partners alike Innate aptitude for interpreting complex datasets with demonstrated ability to discern underlying patterns, identify anomalies, and extract meaningful insights, demonstrating advanced data intuition and analytical skills.