United States onlyOn 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 Platform Engineer, you will be instrumental in driving the strategic evolution and design of our data platform investments and data pipelines, working in close partnership with Architects. You will provide technical leadership in identifying, monitoring, and driving initiatives that ensure our data platform (including core pipeline frameworks, warehousing, and ML Ops platform) remains scalable, reliable, and efficient amidst evolving product demands You will work closely with solution experts to identify missing platform functionality and areas for organizational optimization and lead new build or optimization initiatives. You will be adept in partnering with cross-functional partners and data users to translate needs into technical solutions and lead the technical scoping, implementation, and general execution of improvements to our solutions and platform. You will be data curious and excited to impact the team and the company and improve the quality of healthcare operations.
Key Responsibilities
- Lead scoping and execution of critical improvements to our data platform to maintain overall system health and improve data observability in lieu of changing product needs, and to optimize innovation velocity
- Support production ML Ops functionality and advance the quality of our core ML & LLM platform capabilities
- Partner strategically with data science, analytics, and data engineering leads and Architects to gather feedback and drive the development of scalable platform solutions that unlock new features within the defined architectural framework.
- Provide expertise on the overall data engineering best practices, standards, architectural approaches and complex technical resolutions
- Support solution development; 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.).
Key Qualifications
- Strong cross-functional communication - ability to break down complex technical components for technical and non-technical partners alike
- 4+ years of hands-on experiencedesigning, building, and operating cloud-based, highly available, observable, and scalable data platforms utilizing large, diverse data sets in production to meet ambiguous business needs
- 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
- Experience building, designing, and/or developing on a diverse set of modern data architecture designs and their relative capabilities and use cases (ex. Data Lake, Lakehouse)
- Experience working with Databricks and deployed production grade pipelines
- Python and DBT SQL
Nice to Have Skills
- Proficiency in interpreting complex datasets, including the ability to discern underlying patterns, identify anomalies, and extract meaningful insights, demonstrating advanced data intuition and analytical skills with the ability to translate these insights into recommendations for platform improvements that align with the overall architecture
- Relevant industry certifications in various Data Architecture services (SnowPro Advanced Architect, Azure Solutions Architect Expert, AWS Solutions Architect / Database, Databricks Data Engineer / Spark / Platform etc.)
- Experience designing and supporting multi-cloud architectures (particularly for ML / AI systems)
- Experience with data visualization tools and analytics technologies (Sigma, Looker, PowerBI, etc.)
- Degree in Computer Science, Engineering, or related field
- Experience working with healthcare data and HIPAA data protection
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.
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