The U.S. health system is broken with too many people waiting in emergency rooms for far too long, staying in hospitals far longer than necessary, waiting far too long for surgical procedures, all of results in loss of life and massive financial and operational waste. Our work saves lives and helps hospitals cut tens of millions of dollars in operational costs, while improving the quality of care they’re able to deliver.

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 with the best possible outcomes. We use artificial intelligence and machine learning to create products that help nurses, doctors, and hospital staff anticipate issues and make optimal operational decisions proactively.

Qventus works with leading public, academic and community hospitals across the United States. The company was recognized by the 2019 Black Book Awards in healthcare for patient flow and by CB Insights as a 2019 top 100 Most Promising Company in Artificial Intelligence. Recently, Qventus won the Robert Wood Johnson Foundation Emergency Response for the Healthcare System Innovation Challenge through its work helping health systems across the country plan for and operate in the COVID pandemic.

Qventus is looking for Data Platform Engineers to help build the next generation of our data platform. The Data Platform team acts as stewards for Qventus’ data. We stream hospital EMR to our core warehouses in real time, build out curated data layers to power our Healthcare AI, design and build patterns to ensure the security of patient (HIPAA) data and overall ensure Qventus data users have the tools they need to explore and power the Qventus product at scale and cost to improve the lives of patients and doctors across the country. 

As a Data Platform Engineer, you will contribute to and build on a large area of components that make up the Qventus data platform. You will be comfortable building and working on cross-functional initiatives with technical and non-technical partners - from database tuning, to diving in on Data Science feature development, to scaling services to support company expansion within the healthcare space (and HIPAA restrictions). You will be motivated and excited to grow, learn, and have an impact on the team and in the company and to improve the quality of healthcare operations.

Key Responsibilities

• Work closely with partners to build, tune, and improve the end-to-end workflow of data users at 
• Qventus (incl. designing data structures,  building and scheduling data transformation pipelines,  improving access to critical data assets etc.).
• Improve the data quality and transparency of the pipelines (defining data requirements and data flow visibility - lineage, sources, transformations).
• Support highly scalable backend systems and algorithms to process massive amounts of complex, high dimensionality, high cardinality data.
• Collaborate with team members to develop, test, deploy, and operate high quality, scalable software and uphold engineering standards.

Key Qualifications

• Demonstrated experience in data modeling and transformation pipeline design and experience building for data science and analytics partner needs.
• Excellent SQL with a communicable understanding of optimization and best practices.
• 2+ years of professional experience working with modern programming languages such as Java, C/C++, Python.
• Dedication to high code quality - writing understandable, testable code with an eye towards maintainability.
• Interest and ability in learning and working in a fast paced dynamic environment across multiple technologies

Nice to Have

• Experience building and maintaining robust and efficient backend data systems with functional proficiency with AWS cloud services & modern data warehouse services (Snowflake).
• Strong cross-functional communication - ability to break down complex technical components for technical and non-technical partners alike.
• Practical hands on experience with:
• Building large-scale, high complexity metrics and monitoring
• ELK, DBT, Snowflake, AWS, Terraform, Looker, Ansible experience.
• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent training / experience

Candidate information will be treated in accordance with our candidate privacy notice which can be found here: https://qventus.com/ccpa-privacy-notice/