Senior Data Engineer

🕒 October 20

🇺🇸 United States – Remote

💵 $130k - $150k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Qventus, Inc

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2012

🏥 Healthcare

☁️ SaaS

🤖 Artificial Intelligence

💰 $85M Series D - Qventus on 2025-01

Healthcare • SaaS • Artificial Intelligence

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

• Pioneer new data solutions at Qventus • Lead the design, development, and management of data assets and data pipelines • Discover, evaluate, and integrate new datasets, including pipeline development, data modeling, and documentation • Manage data assets throughout the dataset lifecycle and maintain partnerships on ingestion and solution data engineering • Translate product and analytical vision into reliable, modular, secure data pipelines and trusted data products • Design data structures and build and schedule data transformation pipelines • Establish data engineering practices, guide architectural approaches and pipeline designs, and integrate new technologies • Partner with data modeling leads, integration partners, solution experts, cross-functional teams, and data users • Improve the quality of healthcare operations through data solutions

🎯 Requirements

• Excellent cross-functional communication and ability to explain complex technical components to technical and non-technical partners • Ability to interpret complex datasets, identify patterns and anomalies, and extract meaningful insights • Expertise in quality data pipeline design, development, and optimization • Ability to independently handle ambiguous project requirements and lead data initiatives from start to finish • 5+ years of experience designing, building, and operating cloud-based, highly available, observable, and scalable data platforms in production • Relevant industry certifications in Data Architecture services are a bonus • Experience with MLOps and/or developing and maintaining machine learning models and infrastructure is a bonus • Experience with data visualization tools and analytics technologies such as Sigma, Looker, or Tableau is a bonus • Degree in Computer Science, Engineering, or a related field is a bonus • Satisfactory completion of a pre-employment background investigation and drug test • Must be authorized to work in the United States as applicable under Qventus employment requirements

🏖️ Benefits

• Open Paid Time Off • Paid parental leave • Professional development • Wellness stipend • Technology stipend • Employee referral bonus • Employee stock option awards • Reasonable accommodations for individuals with disabilities

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