Data Platform Engineer
Qventus
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:
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Lead the design, development, and management across investments to platform, model infrastructure, and data pipelines in support of data intensive AI solutions.
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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.
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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
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Partner with cross-functional stakeholders & peers to translate data needs into technical solutions with rigorous technical scope to enable more junior engineers
Key Responsibilities:
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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.
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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.).
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Engage in the rapid new AI product development from concept to deployment, ensuring robust platform supporting easy iteration and monitoring.
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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:
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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
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Expertise in Python, SQL, and familiarity with AWS tools, Databricks, and DBT.
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Strong understanding of database structure systems and data mining.
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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)
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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…
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Experience with Data Science and machine learning techniques, particularly operationalizing models in production environments and working with novel techniques (LLM, Gen AI)
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Experience navigating high compliance (HIPAA) data ecosystems
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Experience with data visualization tools and analytics technologies (Looker, Tableau, etc.)
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Prior exposure to Agile development environments..
Compensation for this role is based on market data and takes into account a variety of factors, including location, skills, qualifications, and prior relevant experience. Salary is just one part of the total rewards package at Qventus. We also offer a range of benefits and perks, including Open Paid Time Off, paid parental leave, professional development, wellness and technology stipends, a generous employee referral bonus, and employee stock option awards.
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). 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.