Data Platform Engineer
IT / Sistemas
Partner with health systems to automate care operations — all of the operational activities involved in delivering care, from discharge planning, to OR access, to patient flow, and more. Their software combines AI, machine learning, and behavioral science to power best-practice solutions for settings across the hospital and system. Solving those problems not only benefits patients, but it also eases the burden on physicians and nurses, and drives significant economic value for hospitals as well.
Abour the rol:
They are looking for a Data Engineer II to help build the next generation of their data ecosystem as part of their Data Platform team. The Data Platform team acts as stewards for Qventus’ data. They manage the data ecosystem from technical infrastructure to data architecture and tactical data transformations to unlock data as strategic asset in powering high quality decision making at scale. Their services support both internal & external decision making from product development and client insights to ultimately supporting the development and operationalization of their Healthcare AI to improve the lives of patients and doctors across the country.
- 5 years of professional experience leading data modeling & transformation pipeline design for production services and data science/analytics partner needs.
- 5 years of professional experience working with Python in connection with data.
- Experience with SQL.
- Candidates in LATAM. With English level C1 or bilingual.
Nice to have:
Working, hands on, knowledge of modern Data Warehouses & ETL tools (Snowflake, Airflow).
Working, hands on DBT, Kafka, Spark ,AWS, Athena, DynamoDB. Confluent.
Conditions and benefits:
- Remote - contractor - Long-Term.
- Paid Vacations
- Payment:USD + bonus.
Más oportunidades similares
¿Eres un reclutador en busca de un ATS?
Haz despegar a tu empresa,
¡súmate a nuestro universo de talentos!
Nuestro poderoso software de reclutamiento basado en la nube mejorará la gestión de los procesos de búsquedas de una manera inteligente, dinámica y colaborativa.