Senior Data Engineer

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Qventus, Inc

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

☁️ SaaS

🤖 Artificial Intelligence

🤝 B2B

💰 $85M Series D - Qventus on 2025-01

SaaS • Artificial Intelligence • B2B

Qventus, Inc. is a healthcare-focused AI and automation company that provides a SaaS platform to hospitals and health systems to optimize clinical operations and patient flow. Its platform combines artificial intelligence, machine learning, and behavioral science to automate administrative workflows across perioperative care, pre-admission testing, and inpatient capacity management—reducing surgery cancellations, shortening length of stay, and improving staff productivity. Qventus integrates with EHRs to deliver AI operational assistants that take action on routine tasks so clinical staff can focus on patient care.

📋 Description

• 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

🎯 Requirements

• 5+ years of experience designing, building, and operating cloud-based, highly available, observable, and scalable data platforms • 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

🏖️ Benefits

• Open Paid Time Off • Paid parental leave • Professional development • Wellness and technology stipends • Generous employee referral bonus • Employee stock option awards