Job description

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 looking for a Senior Data Engineer to pioneer new data solutions at Qventus. Our Data team ensures that Qventus data users have the data they need to build and drive new and existing Qventus products at scale and cost. This includes bidirectional integration with hospital EMR sources via multiple channels (eg. FHIR), complex highly secure (HIPAA) transformations capable of normalizing information across various workflows and client nuances, integration with & discovery of multiple third party datasets from customer data to big-data claims, and more. Our products span the machine learning based orchestrations, real time hospital reporting, analytical insights, and interactive applications needed to improve the lives of patients and doctors across the country. As a Senior Data Engineer, you will lead the design, development, and management across investments data assets & data pipelines. You will identify, monitor, and lead initiatives to collect, explore, and model data in close partnership with our data modeling lead and integrations partners. You will work closely with solution experts to design, iterate, and develop strategic enhancements to our Qventus foundational data model. You will be adept in partnering with cross-functional partners and data users to translate functional needs into data requirements and quality checks. You will be data curious and excited to have an impact on the team and in the company and to improve the quality of healthcare operations. 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. Facilitate the technical management of data assets - clearly tracking and maintaining context on the data within the dataset lifecycle and sustaining tight partnerships with immediate partners on ingestion & solution data engineering 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.). 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 Excellent cross-functional communication - the ability to break down complex technical components for technical and non-technical partners alike 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) 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 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. Bonus Points For 5+ 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 (Databricks Certified Data Engineer Professional, AWS Certified Data Engineer or Solutions Architect Professional, SnowPro® Advanced Architect/Data Engineer, Microsoft Fabric Data Engineer, and dbt Analytics Engineering). Experience with MLOps and/or developing and maintaining machine learning models and infrastructure Experience with data visualization tools and analytics technologies (Sigma, Looker, Tableau, etc.) Degree in Computer Science, Engineering, or related field 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. Salary Range $130,000 — $150,000 USD 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.

Requirements

Must-haves

What We’re Looking For
Excellent cross-functional communication - the ability to break down complex technical components for technical and non-technical partners alike
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
5+ 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
Experience with MLOps and/or developing and maintaining machine learning models and infrastructure
Experience with data visualization tools and analytics technologies (Sigma, Looker, Tableau, etc.)
Degree in Computer Science, Engineering, or related field
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.

Nice-to-haves

Bonus Points For

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Benefits

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Paid Time Off

Parental Leave

Wellness

Professional Development