Sr. Data Platform Engineer

Sr. Data Platform Engineer

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:

Qventus is looking for a Senior Data Platform Engineer to build the next generation of our data platform. Our Data team ensures that Qventus data users have the tools and data they need to explore and power the Qventus product at scale and cost. This includes bidirectional integration with hospital EMR sources via multiple channels (e.g. FHIR), complex, highly secure (HIPAA) transformations capable of normalizing information across various workflows and client nuances, integration with 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 Senior Data Platform Engineer, you'll lead the development and management of our platform and pipelines. You'll ensure they remain scalable, reliable, and efficient amidst product and service changes. You'll develop pipelines for new features, insights, and machine learning. You'll translate needs into solutions and lead technical scoping and implementation to improve our platform.

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:

  • Strong cross-functional communication - ability to break down complex technical components for technical and non-technical partners alike

  • 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:

Employment is contingent upon the satisfactory completion of our pre-employment background investigation and drug test.

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