Data Engineer Ll (Latin America - Remote Role)


Date listed

2 months ago

Employment Type

Full time



Keywords: remote python

The Company

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 a Data Platform Engineer II to help scale our solutions, focusing on our analytical and data science needs. 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 & Analytical insights 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 II, you will build and own significant components of the Qventus solution pipelines. You will be comfortable designing, building, and leading cross-functional initiatives with analytical and data science partners - from schema design, to pipeline design, to scaling services to support company expansion within the healthcare space (and HIPAA restrictions). You will have a strong passion for well designed data models and 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

  • Work closely with core data users to understand product needs and design, build, tune and improve our core data assets and the overall end-to-end workflow of data users at Qventus (incl. designing data structures,  building and scheduling data transformation pipelines,  improving transparency 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, identifying and implementing data observability tooling - lineage, sources, transformations).

  • Work closely with core team members to develop, test, deploy, and operate high quality, scalable software and raise engineering standards.

Key Qualifications

  • Demonstrated experience in data modeling / schema design and transformation pipeline implementation in collaboration with data science and analytics partners

  • Experience developing & coordinating execution in a fast paced dynamic environment across multiple technologies

  • Strong cross-functional communication - ability to break down complex technical components for technical and non-technical partners alike

  • Interest in mentoring and supporting new developers particularly in data modeling and analytical collaboration

  • 3+ years of professional experience working with modern programming languages such as Java, C/C++, Python with a dedication to high code quality.

Nice to Have Skills

  • Degree in Computer Science, Engineering, or related field, or equivalent training / experience

  • Competence participating in technical architecture discussions to help drive high quality technical development within your team

  • Practical hands on experience with:


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