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 are seeking a dynamic and adaptable Data Engineer to join our team and contribute to the next evolution of Qventus's products. This role involves enhancing our data processing and analytics capabilities with a strong focus on healthcare operational efficiency. You will work closely with our Founders and engineering team to develop innovative solutions that impact patient care.
Key Responsibilities
Implement product / analytical vision through highly functional data pipelines that support high-quality and highly trusted data products (incl. designing data structures, building and scheduling data transformation pipelines, improving transparency, etc.).
Contribute to implementation of critical improvements to our solution platform to maintain overall system health and enhance data observability in response to changing product needs and to optimize innovation velocity.
Apply knowledge of data engineering best practices, standards, architectural approaches, and assist in resolving complex technical challenges.
Collaborate on execution of key client implementations and team deliverables.
Key Qualifications
Practiced cross-functional communication - ability to break down complex technical components for technical and non-technical partners alike
Aptitude for interpreting complex datasets, including the ability to discern underlying patterns, identify anomalies, and extract meaningful insights, demonstrating advanced data intuition and analytical skills.
Experience 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
Experience building, designing, and/or developing with DBT
Experience with data visualization tools and analytics technologies (Sigma, Tableau, etc.)
Interest in mentoring and supporting new developers
Nice to Have Skills
3+ years of experience designing, building, and operating cloud-based, highly available, observable, and scalable data platforms utilizing large, diverse data sets in production to meet ambiguous business needs
Relevant industry certifications in a variety of Data Architecture services (SnowPro Advanced Architect, Azure Solutions Architect Expert, AWS Solutions Architect / Database, Databricks Data Engineer / Spark / Platform etc.)
Experience partnering with AI /ML teams
Degree in Computer Science, Engineering, or related field
Experience working with healthcare data and HIPAA data protection
Experience developing on a diverse set of modern data architecture designs and their relative capabilities and use cases (ex. Data Lake, Lakehouse, Lambda)
Why Qventus?
Qventus applies modern technologies and principles from other industries—artificial intelligence, machine learning, behavioral science, and data science—to simplify healthcare operations. At Qventus, you will work with an exceptional, mission-driven team and have the opportunity to directly impact patient care. We are committed to diversity, equity, inclusion, and belonging, ensuring fair hiring processes and meaningful roles for underrepresented groups.
Compensation and Benefits:
We consider several factors when determining compensation, including location, experience, and role responsibilities. Our benefits and perks include:
Parental and Pregnancy Leave
Annual office set-up stipend
Annual continuing education stipend
Monthly Wellness and Technology stipend up to $25 per month
We are an equal-opportunity employer and welcome applications from all qualified candidates 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.
Please note: This position does not provide visa sponsorship. Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.
For more information about how we handle candidate information, please refer to our candidate privacy notice.
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