Have you ever found yourself or a loved one waiting hours and hours in a hospital Emergency Room to get care? Or have you ever had a surgery scheduled for months in the future that needed to happen sooner? Unfortunately, our healthcare system is full of these types of operational problems. 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. We use artificial intelligence and machine learning to create products that help nurses, doctors, and hospital staff anticipate issues and make 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 Senior 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 Senior Data Platform Engineer, you will build and own significant components of the Qventus data platform. You will be comfortable designing, building, and leading cross-functional initiatives with technical and non-technical partners - from database tuning, to pipeline design, to scaling services to support company expansion within the healthcare space (and HIPAA restrictions). You will be motivated and excited to have an impact on the team and in the company and to improve the quality of healthcare operations.

Key Responsibilities

• 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.).
• Automate & manage the lifecycle of data sets (schema development, deprecation, and iteration).
• Improve the data quality and transparency of the pipelines (defining data requirements and data flow visibility - lineage, sources, transformations).
• Design and implement highly scalable backend systems and algorithms to process massive amounts of complex, high dimensionality, high cardinality data.
• Work closely with the rest of the team members to develop, test, deploy, and operate high quality, scalable software and raise engineering standards.

Position Requirements:

• Demonstrated experience in data modeling and transformation pipeline design and experience building for data science and analytics partner needs
• Experience working and building in a fast paced dynamic environment across multiple technologies
• Competence participating in technical architecture discussions to help drive high quality technical development within your team
• 3+ years of professional experience working with modern programming languages such as Java, C/C++, Python with a dedication to high code quality.

Desired Skills:

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