2 months ago
Base Salary
$150k - $180k/yr
Responsibilities
- Discover, evaluate, and integrate new datasets in partnership with stakeholders, including pipeline development, data modeling, and documentation.
- Manage data assets across their lifecycle while maintaining context and coordinating with ingestion and solution data engineering partners.
- Translate product and analytical goals into reliable, secure, modular data pipelines, including data structures, scheduled transformations, and quality improvements.
- Set company standards for data engineering practices, architectural approaches, pipeline design, and technology integration.
- Lead initiatives to collect, explore, and model data and establish quality checks in collaboration with cross-functional data users.
Requirements
- Demonstrated ability to communicate complex technical concepts to technical and non-technical partners.
- Strong analytical and data interpretation skills, including identifying patterns, anomalies, and meaningful insights; healthcare experience is preferred.
- Expertise designing, developing, and optimizing reliable, modular, secure data pipelines and data foundations for applications, analytics, and machine learning.
- Ability to independently lead ambiguous data initiatives from requirements through completion while collaborating with cross-functional teams.
- Preferred: 5+ years designing, building, and operating cloud-based, highly available, observable, and scalable data platforms with large, diverse production datasets.
- Preferred: relevant data architecture 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 Sigma, Looker, Tableau, or similar analytics and data visualization technologies.
- Preferred: a degree in Computer Science, Engineering, or a related field.
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 upon 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.