Senior Data Engineer

Summary

Join Qventus, a real-time decision-making platform for hospital operations, as a Senior Data Engineer. You will lead the design, implementation, and improvement of scalable, efficient pipelines for data-intensive products. Partner with cross-functional teams to translate needs into technical solutions and data definitions. Leverage your expertise in data modeling and pipeline development to solve real-world problems and shape the data powering our Inpatient solution. You will ensure data is accessible, reliable, and actionable, driving interventions to improve patient care. This role requires strong data intuition, business logic, and a desire to understand underlying systems and causal patterns. Grow your career while contributing to a mission-driven team and impacting healthcare solutions.

Requirements

• Proficiency developing SQL and Python (for data processing, pandas etc.) in production engineering environments (git, github actions, release automations etc.); Experience with dbt (data build tool)
• 3+ years professional experience using modern Data Warehousing platforms - AWS, Snowflake, and/or Databricks preferred, with demonstrated experience in quality data pipeline design, development, and optimization and basic understanding of medallion architectures
• Effective cross-functional communicator, capable of translating technical concepts into clear narratives for product, clinical, and engineering stakeholders; adept at surfacing trade-offs, aligning priorities, and building shared understanding
• Innate aptitude for interpreting complex datasets with demonstrated ability to discern underlying patterns, identify anomalies, and extract meaningful insights, demonstrating advanced data intuition and analytical skills
• Proven ability to navigate ambiguity and solve open-ended problems by understanding real-world needs, identifying cross-data relationships, and collaborating with cross-functional teams to design practical, context-aware data solutions that shape product development

Responsibilities

• Develop and maintain reliable daily and near real-time pipelines that ingest and process healthcare data from hospital EHR, enabling timely, high-quality data delivery for Inpatient product use cases
• Drive evolution toward a medallion architecture, contributing to the design, implementation, and migration for the Qventus foundational data model in the Inpatient Hospital domain
• Partner with Product and cross-functional teams to deeply understand end-user and clinical needs, translating them into robust, scalable data models and transformation pipelines
• Maintain and improve our event-based architecture solutions
• Support execution against key client implementations and team deliverables - jumping in wherever is needed to hit core team objectives (analytics engineering, decision engine support logic etc.)

Preferred Qualifications

• Experience leveraging GLUE of AWS cloud services for production systems
• Experience supporting event driven systems & streaming data pipelines - experience with Kafka a plus!
• Experience building / supporting modern BI tools (Sigma preferred) and supporting analytics engineering development (metrics, semantic layer etc.)
• Experience partnering with AI /ML teams
• Degree in Computer Science, Engineering, or related field
• Experience working with healthcare data and HIPAA data protection