Senior Data Engineer

Join Qventus, a leading healthcare technology company, as a Senior Data Engineer. In this role, you will lead the design, development, and management of data assets and pipelines, ensuring that Qventus data users have the data they need to build and drive new and existing products. You will work closely with cross-functional partners and data users to translate functional needs into data requirements and quality checks. This is an exciting opportunity to make a significant impact on the quality of healthcare operations.

• Concevoir, développer et gérer les actifs de données et les pipelines de données de l'entreprise.
• Collaborer avec des partenaires interfonctionnels pour traduire les besoins fonctionnels en exigences et en contrôles de qualité des données.
• Diriger la découverte, l'évaluation et l'intégration de nouveaux ensembles de données, en collaborant avec les parties prenantes clés.

• 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)
• 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
• Degree in Computer Science, Engineering, or related field
• Excellent cross-functional communication - the ability to break down complex technical components for technical and non-technical partners alike
• 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
• 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
• 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.)

USD 130,000 - 150,000