Implementation Engineer

On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise.

Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, 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. #LI-MB1

Qventus is seeking an Implementation Engineer to lead the delivery of our Inpatient and Surgical Growth solutions at scale. Our platform helps health systems optimize patient flow, reduce length of stay, improve discharge planning, and drive surgical growth and OR utilization through AI-powered workflows and predictive analytics. In this role, you will serve as the technical expert for our suite of products — communicating requirements to external clients and internal teams, managing hospital-specific data transformations, building custom EHR integrations, executing product configuration and data validation, and supporting clinical workflow rollouts. You will work closely with hospital stakeholders and R&D counterparts to deliver scalable, high-quality data pipelines that drive measurable improvements across inpatient operations and surgical growth.

• Communicate technical product requirements and provide support to external clients and internal development teams, ensuring optimal utilization of Qventus modules; gather and analyze user requirements, translate them into technical specifications, and develop configuration plans with appropriate timelines.

• Serve as the expert for the Qventus product suite, with deep knowledge of the data structures, relational databases, integrations, reporting, and metric development that underpin each module, including AI/ML-powered inpatient and surgical growth workflows and real-time analytics.

• Lead technical implementations of Qventus solutions end-to-end, including Inpatient Operations and Surgical Growth: validate clinical data sources, configure relevant capacity and workflow metrics (e.g., bed capacity, discharge planning, OR scheduling and case volume), and manage the full lifecycle from requirements through unit testing and customer sign-off.

• Perform SQL-level checks on data integrity and system performance; develop, execute, refine, and optimize advanced SQL queries against databases (Redshift, Snowflake, Databricks, BigQuery) to validate data quality and system behavior.

• Query relational databases and configure technical systems including Electronic Medical Record (EMR) systems; develop monitoring mechanisms and automated alerts to proactively identify and prevent production data quality issues.

• Collaborate with Integration teams to identify and resolve data interoperability issues; perform root cause analysis on data pipeline failures, evaluate HL7/FHIR integration configurations, and implement corrections both historically and going forward.

• Manage and execute data migrations from legacy hospital