About Qventus:
Qventus is a real-time decision making platform for hospital operations. Our mission is to simplify how healthcare operates, so that hospitals and caregivers can focus on delivering the best possible care to patients. We use artificial intelligence and machine learning to create products that help nurses, doctors, and hospital staff anticipate issues and make operational decisions proactively.
About the Role:
Are you the next Qventoid? We’re looking for a driven and innovative Senior Data Platform Engineer to scale our solutions, focusing on our analytical and data science needs. The Data Platform team serves as the stewards for Qventus’ data, streaming hospital EMR to our core warehouses in real-time, and building out curated data layers to power our Healthcare AI & Analytical insights. This role is pivotal in ensuring Qventus data users have the tools they need to explore and empower the Qventus product at scale and cost, ultimately improving the lives of patients and doctors nationwide.
As a Senior Data Platform Engineer, you will lead the design, development, and management across investments to the Perioperative solution and data pipelines. You will identify, monitor, and lead initiatives to ensure our pipelines remain scalable, reliable, and efficient in light of evolving data requirements of our solution. You will work closely with solution experts to design, iterate, and develop key pipelines to unlock new solution functionality, analytical insights, and machine learning features. You’ll translate product needs into high-quality schemas, pipelines, and scalability investments for our infrastructure and processes to support company expansion within the healthcare space, respecting HIPAA restrictions. You will be adept in partnering with cross-functional partners and data users to translate needs into technical solutions and leading the technical scoping, implementation, and general execution of improvements to our solutions and platform. 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.
As a Sr. Data Platform Engineer, you will:
Lead scoping and execution of critical improvements to our platform to maintain overall system health and improve data observability in lieu of changing product needs and to optimize innovation velocity
Manage the acquisition, assessment & integration of new datasets, collaborating closely with core data users to unpack the data and relevance to our core products and 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.).
Provide expertise on the overall data engineering best practices, standards, architectural approaches and complex technical resolutions
Support execution against key client implementations and team deliverables
Key Responsibilities:
Robust 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.
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, Lambda)
Interest in mentoring and supporting new developers
It's a Plus if You Have:
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 (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 (Looker, Tableau, etc.)
Degree in Computer Science, Engineering, or related field
Experience working with healthcare data and HIPAA data protection
Qventus is on a mission to take modern technologies and principles that have been proven in other industries — artificial intelligence, machine learning, behavioral science, and data science — and apply them to simplify healthcare operations. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team, 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.
The salary range for this role is $150,000 to $180,000. This salary represents the middle to the high end of market data across different geographies. We consider several factors when determining compensation, including location, experience, and the role’s responsibilities. Salary/OTE is just one component of Qventus’ total rewards package. Our benefits and perks currently include, but are not limited to:
Competitive medical, dental and vision coverage with a 90% employer paid premiums for employees option
Generous HSA contribution, when elected and participating in an eligible plan, up to $1,500 annual company contribution
Employer provided (100% paid) Short Term and Long Term Disability insurance and Basic Life and AD&D insurance
100% paid Parental and Pregnancy Leave
Monthly Wellness and Technology stipend up to $50 per month
Ability to participate in the 401(k) plan
Generous 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.
This position does not provide visa sponsorship.
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.
