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Data Platform Engineer


About Us: 

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.

 

About the Role: 

Qventus is looking for a Data Platform Engineer to help build the next generation of our data ecosystem as part of our Data Platform team. The Data Platform team acts as stewards for Qventus’ data. We manage the data ecosystem from technical infrastructure to data architecture and tactical data transformations to unlock data as a strategic asset in powering high-quality decision-making at scale. Our services support both internal & external decision-making, from product development and client insights to ultimately supporting the development and operationalization of our Healthcare AI to improve the lives of patients and doctors across the country.

 

As a Data Platform Engineer, you will build and maintain significant components of the Qventus data architecture for our Periop solution. You will be comfortable working closely with both core data users on analytics and data science and backend partners to design, build, and deploy comprehensive data pipelines in support of internal and external data solutions  – from data requirement & quality definitions to pipeline design to feature engineering 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 to data-driven decisions & product features (incl. designing data structures,  building and scheduling data transformation pipelines,  improving access to critical data assets etc.).

  • Improve the overall definition and quality of our data assets, incl. the automation and management of schema lifecycles, improved tooling for data flow visibility, and data quality tooling/monitoring

  • Support the optimization and scale of existing pipelines, dashboards, and data science feature engineering to support Qventus scale

  • Collaborate with data infrastructure and engineering teams to build, extend, and envision cross-platform ETL and reports generation frameworks to raise engineering standards.

 

 What We’re Looking For: 

  • Demonstrated experience in leading data modeling & transformation pipeline design for production services and data science/analytics partner needs (strong SQL & DBT experience preferred)

  • Working, hands-on, knowledge of modern Data Warehouses & ETL tools (Snowflake, Airflow) and experience optimizing & designing the data processing for modern data visualization tools (Looker preferred)

  • Experience analyzing data to identify deliverables, gaps, and inconsistencies to ultimately refine dataset requirements and standards 

  • Professional experience working with modern programming languages such as Python (preferred), Java, Go, C++ and a dedication to high code quality.

 

It’s a Plus if You Have… 

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

  • Practical hands-on experience with data lake/schema discovery systems and relevant technologies (Confluent/Kafka, Spark, Athena/Glue, DynamoDB etc.) 

  • Familiarity with the AWS ecosystem (Lambda, RDS, Redshift etc.)

  • Experience handling unstructured data, especially working with NLP tooling to extract information from text 

  • Bachelor’s degree in Computer Science, Engineering, Analytics, or related field, or equivalent training/experience

 

Qventus is on a mission to take modern technologies and principles that have been proven in other industries — artificial intelligence, machine learning, behavioral science, and data science — and apply them to simplify healthcare operations. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team, 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. 

 

We believe that diversity, equity, inclusion, and belonging are fundamental to improving healthcare and society, and that’s why we’re building a company that leads the way. We hold ourselves accountable to using fair hiring processes that mitigate the negative impacts of unconscious bias. We also work to ensure that people from underrepresented groups play meaningful roles on both sides of the interview table. We are an equal-opportunity employer and give all qualified applicants consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. 

 

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

 

This position does not provide visa sponsorship.

 

Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.

 



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