22 days ago
Base Salary
$130k - $150k/yr
Responsibilities
- Discover, evaluate, and integrate new datasets while developing pipelines, data models, and documentation.
- Manage data assets throughout their lifecycle and maintain partnerships on ingestion and solution data engineering.
- Translate product and analytical visions into data structures, transformation pipelines, schedules, transparency improvements, and quality data products.
- Set data engineering standards and guide architectural approaches, pipeline designs, and technology integrations.
- Lead data initiatives independently while collaborating with technical, non-technical, product, analytics, and healthcare stakeholders.
Requirements
- Demonstrated ability to communicate complex technical concepts to technical and non-technical partners.
- Advanced data intuition and analytical skills, including interpreting complex datasets, identifying patterns and anomalies, and extracting insights.
- Expertise designing, developing, and optimizing reliable, modular, secure data pipelines and data foundations.
- Ability to manage ambiguous requirements and lead data initiatives from start to finish.
- Preferred: 5+ years designing, building, and operating cloud-based, highly available, observable, and scalable data platforms in production.
- Preferred: relevant certifications such as Databricks Certified Data Engineer Professional, AWS Certified Data Engineer or Solutions Architect Professional, SnowPro Advanced Architect/Data Engineer, Microsoft Fabric Data Engineer, or dbt Analytics Engineering.
- Preferred: experience with MLOps or developing and maintaining machine learning models and infrastructure.
- Preferred: experience with data visualization and analytics tools such as Sigma, Looker, or Tableau.
- Preferred: degree in Computer Science, Engineering, or a related field; healthcare experience is also preferred.
Benefits
- Open Paid Time Off.
- Paid parental leave.
- Professional development, wellness, and technology stipends.
- Employee referral bonus and employee stock option awards.
- Employment is contingent on satisfactory completion of a pre-employment background investigation and drug test.
Tech Stack
Categories
Data Engineering
About Qventus
Qventus builds an AI-driven operations platform for hospitals and health systems that automates patient-flow, capacity, perioperative, and care-team workflows. Its SaaS integrates with EHRs (e.g., via FHIR) to provide real-time predictions and prescriptive actions that reduce length of stay and increase throughput. Founded in 2012 and headquartered in Mountain View, California, the privately held company sells to U.S. and international health systems seeking to improve margins and staff efficiency.