Sr. Data Platform Engineer

About Qventus:

Qventus is a real-time decision making platform for hospital operations. Our mission is to simplify how healthcare operates, so that hospitals and caregivers can focus on delivering the best possible care to patients. We use artificial intelligence and machine learning to create products that help nurses, doctors, and hospital staff anticipate issues and make operational decisions proactively.

About the Role:

Qventus is looking for a Senior Data Platform Engineer to build the next generation of our data platform. Our Data team ensures that Qventus data users have the tools and data they need to explore and power the Qventus product 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 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 Platform Engineer, you will lead the design, development, and management across investments to platform and data pipelines. You will identify, monitor, and lead initiatives to ensure our data platform remains scalable, reliable, and efficient in light of evolving data requirements of our products and services. You will work closely with solution experts to design, iterate, and develop key pipelines to unlock new solution functionality, analytical insights, and machine learning features. You will be adept in partnering with cross-functional partners and data users to translate needs into technical solutions and leading the technical scoping, implementation, and general execution of improvements to our solutions and platform. 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.

As a Sr. Data Platform Engineer, you will:

• Lead scoping and execution of critical improvements to our platform to maintain overall system health and improve data observability in lieu of changing product needs and to optimize innovation velocity

• Manage the acquisition, assessment & integration of new datasets, collaborating closely with core data users to unpack the data and relevance to our core products and domain

• Translate product / analytical vision into highly functional data pipelines supporting high quality & highly trusted data products (incl. designing data structures,  building and scheduling data transformation pipelines,  improving transparency etc.).

• Provide expertise on the overall data engineering best practices, standards, architectural approaches and complex technical resolutions

• Support execution against key client implementations and team deliverables

Key Responsibilities:

• Strong cross-functional communication - ability to break down complex technical components for technical and non-technical partners alike

• Robust 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.

• Excellence 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 on a diverse set of modern data architecture designs and their relative capabilities and use cases (ex. Data Lake, Lakehouse, Lambda)

• Interest in mentoring and supporting new developers

It's a Plus if You Have:

• 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 designing and supporting multi-cloud architectures (particularly for ML / AI systems)

• Experience with data visualization tools and analytics technologies (Looker, Tableau, etc.)

• Degree in Computer Science, Engineering, or related field

• Experience working with healthcare data and HIPAA data protection