Senior Data 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.

 

About the Role
We’re looking for a Senior Data Engineer who combines strong data modeling and pipeline development experience with curiosity, initiative, and a drive to solve real-world problems. In this role, you’ll shape and scale the data powering our Inpatient solution, transforming messy EHR data into real-time insights that help reduce length of stay, unblock discharges, and improve patient flow across hospitals.

This role is ideal for a self-starter who thrives in fast-paced environments and wants to make a tangible impact on healthcare delivery by building scalable, intelligent data systems.

Key Responsibilities

Pipeline Development & Architecture

• Build and maintain reliable, high-quality pipelines that ingest and process healthcare data from hospital EHR systems.

• Develop near real-time pipelines that power Inpatient product use cases.

• Contribute to the design and evolution of our medallion architecture and unified data model.

Product & Cross-Functional Collaboration

• Partner with Product, Clinical, and Engineering teams to translate user needs into scalable data models and transformation pipelines.

• Maintain and enhance event-based architecture and streaming data systems.

• Support client implementations and team goals through hands-on data engineering (e.g., analytics engineering, logic support).

Data Modeling & Decision Support

• Work with Data Scientists and Decision Engineers to operationalize feature pipelines and decision logic.

• Apply strong data intuition to identify patterns, anomalies, and key insights across complex healthcare datasets.

Key Qualifications

• 3+ years of experience in Data Engineering, with a strong focus on SQL and Python in production environments (e.g., Git, GitHub Actions).

• Proficient in data warehousing and pipeline development on platforms like AWS, Snowflake, and/or Databricks.

• Experience with dbt (data build tool) and modern data practices.

• Strong cross-functional communication skills; ability to align technical and clinical/product priorities.

• Demonstrated ability to navigate ambiguity, understand real-world data needs, and design context-aware data solutions.

• Deep analytical skills and an innate curiosity about the relationships and patterns behind the data.

Nice to Have

• Experience using AWS Glue or other AWS services in production environments.

• Familiarity with event-driven architectures and Kafka.

• Experience supporting modern BI tools (especially Sigma) and analytics engineering workflows (metrics, semantic layer).

• Background working with AI/ML teams to operationalize data.

• Degree in Computer Science, Engineering, or related technical field.

• Experience working with healthcare data and understanding of HIPAA requirements.

 

Qventus values diversity in its workforce and proudly upholds the principles of Equal Opportunity Employment . We welcome all qualified applicants and ensure fair consideration for employment without discrimination based on any legally protected characteristics, including, but not limited to: veteran status, uniformed service member status, race, color, religion, sex, sexual orientation, gender identity, age, pregnancy (including childbirth, lactation and related medical conditions), national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics) or any other category protected by federal, state or local law (collectively, "protected characteristics"). Our commitment to equal opportunity employment applies to all persons involved in our operations and prohibits unlawful discrimination by any employee, including supervisors and co-workers.

Qventus participates in the  E-Verify program as required by law and is committed to providing reasonable accommodations to individuals with disabilities in compliance with Americans with Disabilities Act (ADA). If you require reasonable accommodation during any part of the employment process, please contact us at hr@qventus.com and share the nature of your request along with your contact information. In compliance with the California Consumer Privacy Act (CCPA), Qventus provides transparency into how applicant data is processed during the application process. Candidate information will be treated in accordance with our candidate privacy notice.

*Benefits and perks are subject to plan documents and may change at the company's discretion.

*Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.