Senior Data Engineer - New Solutions

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. You will be adept in partnering with cross-functional partners and data users to translate functional needs into data 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.

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. designing data structures, building and scheduling data transformation pipelines, improving transparency etc.).
• 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. (Healthcare experience preferred)
• 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
• Proven ability to independently handle ambiguous project requirements and lead data initiatives from start to finish, while collaborating extensively with cross-functional, non-technical teams to inform and shape product development.

Bonus Points For

• 5+ 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 (Databricks Certified Data Engineer Professional, AWS Certified Data Engineer or Solutions Architect Professional, SnowPro® Advanced Architect/Data Engineer, Microsoft Fabric Data Engineer, and dbt Analytics Engineering).
• Experience with MLOps and/or developing and maintaining machine learning models and infrastructure
• Experience with data visualization tools and analytics technologies (Sigma, Looker, Tableau, etc.)
• Degree in Computer Science, Engineering, or related field