Qventus is a real-time decision-making platform focused on hospital operations, aiming to simplify healthcare processes for better patient care.
The company utilizes machine learning, generative AI, and behavioral science to assist healthcare professionals in making proactive operational decisions.
The Senior Data Engineer will be responsible for shaping and scaling the data that powers the Inpatient solution, ensuring data is accessible, reliable, and actionable.
The role involves developing and maintaining data pipelines that transform complex EHR data into curated models, providing near real-time insights to improve patient flow and care.
The engineer will lead the design and implementation of scalable pipelines, integrate new data, and enhance the unified data model while collaborating with Data Scientists and Decision experts.
The position requires a proactive individual who thrives in fast-paced environments and enjoys solving ambiguous problems while collaborating with teammates.
The engineer will partner with cross-functional teams to translate user needs into technical solutions and data definitions.
Requirements:
Proficiency in SQL and Python for data processing in production environments, with experience in dbt (data build tool).
A minimum of 3 years of professional experience with modern Data Warehousing platforms such as AWS, Snowflake, or Databricks, including experience in data pipeline design and optimization.
Strong communication skills to effectively translate technical concepts for various stakeholders, including product, clinical, and engineering teams.
Ability to interpret complex datasets, identify patterns, and extract insights, demonstrating advanced data intuition and analytical skills.
Proven capability to navigate ambiguity and solve open-ended problems by understanding real-world needs and collaborating with cross-functional teams.
Benefits:
Opportunity to work with a mission-driven team that directly impacts patient care and healthcare operations.
The chance to engage in challenging projects that promote personal and professional growth.
A collaborative work environment that encourages innovation and problem-solving.
The ability to contribute to the evolution of healthcare through advanced data engineering solutions.
