Sr. Data Platform Engineer - GenAI Apps

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.

As a Senior Data Engineer at Qventus, you will play a pivotal role in developing and driving new data solutions. You will design, develop, and manage data pipelines that ensure the scalability, reliability, and efficiency of our data platform. Collaborate with cross-functional teams to unlock new features and drive innovation. Your work will improve patient and doctor experiences by integrating complex data sources and creating robust data transformations.

As a Data Platform Engineer, you will:

• Lead the design, development, and management across investments to platform, model infrastructure, and data pipelines in support of data intensive AI solutions.

• Work closely with a close knit team of solution experts & innovators to design, iterate, and develop key pipelines to unlock new solution functionality, analytical insights, and machine learning features.

• Identify, monitor, and lead initiatives to ensure our data platform remains scalable, reliable, and efficient in light of evolving data requirements of our products and services - particularly in the rapidly changing Gen AI / LLM ecosystem

• Partner with cross-functional stakeholders & peers to translate data needs into technical solutions with rigorous technical scope to enable more junior engineers

Key Responsibilities:

• Spearhead the discovery, evaluation, and integration of new datasets, collaborating (incl. pipeline development and data modeling/documentation), working closely with key data stakeholders to understand their impact and relevance to our core products and the healthcare domain.

• Translate product / analytical vision into highly functional data pipelines supporting high quality & highly trusted data products (incl. designing data structures,  building and scheduling data transformation pipelines,  improving transparency etc.).

• Engage in the rapid new AI product development from concept to deployment, ensuring robust platform supporting easy iteration and monitoring.

• Set the standard for data engineering practices within the company, guiding the architectural approaches, data pipeline designs, and the integration of cutting-edge technologies to foster a culture of innovation and continuous improvement.

What We’re Looking For: 

• Proven experience as a Data Engineer; Excellence in quality data pipeline design, development, and optimization to create reliable, modular, secure data foundations for the organization's data delivery system from applications to analytics & ML

• Expertise in Python, SQL, and familiarity with AWS tools, Databricks, and DBT.

• Strong understanding of database structure systems and data mining.

• 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. (Healthcare experience preferred)

• Proven ability to independently handle ambiguous project requirements and lead data initiatives from start to finish, while collaborating extensively with cross-functional, non-technical teams to inform and shape product development.

It’s a Plus if You Have… 

• Experience with Data Science and machine learning techniques, particularly operationalizing models in production environments and working with novel techniques (LLM, Gen AI) 

• Experience navigating high compliance (HIPAA) data ecosystems

• Experience with data visualization tools and analytics technologies (Looker, Tableau, etc.)

• Prior exposure to Agile development environments..

The salary range for this role is $140,000 to $190,000. Qventus salary bands represent market data across different geographies. We consider several factors when determining compensation, including location, skills and qualifications, and prior relevant experience. Salary is just one component of Qventus’ total package. Some of our key benefits and perks* include but are not limited to: Open Paid Time Off, paid parental leave, professional development, wellness, and technology stipends, generous employee referral bonus, and employee stock option awards.

We believe that diversity, equity, inclusion, and belonging are fundamental to improving healthcare and society, and that’s why we’re building a company that leads the way. We hold ourselves accountable to using fair hiring processes that mitigate the negative impacts of unconscious bias. We also work to ensure that people from underrepresented groups play meaningful roles on both sides of the interview table. We are an equal opportunity employer and give all qualified applicants consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

Candidate information will be treated in accordance with our candidate privacy notice which can be found here: https://qventus.com/ccpa-privacy-notice/

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

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