Qventus

Senior Data Engineer

Latin America

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Healthcare TechnologyIndustries

Senior Data Engineer

Employment Type: Full-Time Location Type: Remote Location: LATAM Salary:


The Company

Qventus is a real-time decision-making platform for hospital operations. Our mission is to simplify how healthcare operates, so that hospitals and caregivers can focus on delivering the best possible care to patients.

We combine machine learning, generative AI, and behavioral science to create products that help nurses, doctors, and hospital staff anticipate issues and make operational decisions proactively.

At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We’re inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations.


About the Role

We’re looking for a Senior Data Engineer who can bring strong data modeling and pipeline development experience, paired with curiosity and initiative to solve real-world problems to help shape and scale the data that powers our Inpatient solution.

The Inpatient Data Engineering team serves as the stewards and activators for Qventus data - ensuring it is accessible, reliable, and actionable to power core product experiences and healthcare outcomes. Our pipelines and systems transform complex, messy EHR data into curated models, ensure synchronicity between internal applications and EHR applications, and ultimately provide near real-time insights and actions that drive interventions to reduce length of stay, unblock discharges, and improve patient flow across the hospital allowing care teams to provide a higher level of care.

As a Senior Engineer, you’ll lead the design, implementation, and improvement of scalable, efficient pipelines to support our data-intensive products - from integrating new data to enhancing the foundation of our unified data model to partnering with Data Scientists or Decision experts to operationalize feature pipelines.

You should be curious, proactive, and a strong self-starter - excited to dive into ambiguous problems and take initiative without waiting for direction. You thrive in fast-moving environments and enjoy collaborating with or leading teammates to build solutions, not just deliver tasks.

You will be adept in partnering with cross-functional partners, product, and data users to translate needs into technical solutions and data definitions. You’re motivated by understanding how data connects to real-world impact, and bring strong data intuition, business logic, and a desire to understand the underlying systems, relationships, and causal patterns behind the data. You’ll be excited to join an amazing mission-driven team and take on new challenges quarter over quarter - growing yourself and our healthcare solutions!


Key Responsibilities

  • Develop and maintain reliable daily and near real-time pipelines that ingest and process healthcare data from hospital EHR, enabling timely, high-quality data delivery for Inpatient product use cases.
  • Drive evolution toward a medallion architecture, contributing to the design, implementation, and migration for the Qventus foundational data model in the Inpatient Hospital domain.
  • Partner with Product and cross-functional teams to deeply understand end-user and clinical needs, translating them into robust, scalable data models and transformation pipelines.
  • Maintain and improve our event-based architecture solutions.
  • Support execution against key client implementations and team deliverables - jumping in wherever is needed to hit core team objectives (analytics engineering, decision engine support logic etc.).

Key Qualifications

  • Proficiency developing SQL and Python (for data processing, pandas etc.) in production engineering environments (git, github actions, release automations etc.).
  • Experience with dbt (data build tool).
  • 3+ years of professional experience using modern Data Warehousing platforms - AWS, Snowflake, and/or Databricks preferred, with demonstrated experience in quality data pi

Skills

Data modeling
Pipeline development
ETL/ELT processes
Data transformation
Real-time data processing
EHR data integration
Data architecture
Collaboration with Data Scientists

Qventus

Automates healthcare operations using AI technology

About Qventus

Qventus provides a platform that uses artificial intelligence and machine learning to improve healthcare operations. The platform integrates data from Electronic Health Records and market sources to automate various care processes. By optimizing resource utilization and increasing visibility within healthcare facilities, Qventus helps reduce patient stays and enhances the quality of care. It also aims to alleviate staff burnout by minimizing cognitive load, allowing healthcare workers to spend more time with patients. Unlike many competitors, Qventus focuses on strategic partnerships and has demonstrated significant financial benefits for its clients, with some reporting over $10 million in annual savings. The goal of Qventus is to transform healthcare operations, making them more efficient and effective for both providers and patients.

Mountain View, CaliforniaHeadquarters
2012Year Founded
$108MTotal Funding
LATE_VCCompany Stage
AI & Machine Learning, HealthcareIndustries
51-200Employees

Benefits

Medical, dental & vision plans
Stock options
Annual learning & development stipend
Generous vacation
Employee referral & bonus programs
401(K) plan
Fitness reimbursement
FSA & HSA
Parental leave program
Catered meals & snacks
Quarterly hackathons & team events

Risks

Increased competition from AI healthcare startups like Olive and LeanTaaS.
Potential integration challenges with existing EHR systems could hinder platform adoption.
Data privacy concerns and regulatory scrutiny could impact operations and compliance.

Differentiation

Qventus uses AI and ML to optimize hospital operations in real-time.
The platform integrates EHR data to automate care operations and reduce staff burnout.
Qventus has proven success with significant financial benefits for healthcare facilities.

Upsides

Qventus secured $105M to expand AI automations and operational assistants.
The platform reduces hospital stay lengths and increases surgical volumes, saving millions.
Growing demand for AI tools enhances patient flow management in hospitals.

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