Remote Senior Data Engineer

Description:

• 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.