Senior Data Platform Engineer, Qventus
$150-180k
+ Stock Options
AI-powered healthcare operations
Be an early applicant
AI-powered healthcare operations
201-500 employees
Be an early applicant
$150-180k
+ Stock Options
201-500 employees
Company mission
To simplify how healthcare operates, so that it works for everyone.
Role
Who you are
- Strong cross-functional communication - ability to break down complex technical components for technical and non-technical partners alike
- 4+ years of hands-on 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
- 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
Desirable
- 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
What the job involves
- 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
- 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.)
Our take
The pressure on US hospitals is increasing due to rising costs of care and pharmaceuticals, in addition to increasing expectancy of high-quality services at lower prices. Vast bodies of medical data sets can be used to help ease bottlenecks in these overworked systems, but processing this data into actionable insights is a laborious and time-consuming task.
Qventus improves the operational efficiency of hospitals and medical centers by using AI to interpret raw medical data into actionable data for staff. The data produced helps teams anticipate bottlenecks and resolve problems before they occur. Qventus claims this forward-thinking approach helps decrease the length of stay of patients, increase morning discharge rates, and overall improve cash flow margins.
Many healthcare SaaS startups aim to use AI to interpret medical data, but Qventus’s approach to identifying bottlenecks within a health system is particularly beneficial. The software uses machine learning to drive its AI, meaning that with every problem identified and prevented, the system will become smarter. Funding raised by the company will be used to support the development of its AI operational assistants and to continue its expansion to additional hospitals and health systems.
Steph
Company Specialist at Welcome to the Jungle
Insights
6% employee growth in 12 months
Company
Funding (last 2 of 8 rounds)
Jan 2025
$85m
SERIES D
Aug 2022
$3m
LATE VC
Total funding: $196.2m
Company benefits
- Stock options
- Comprehensive health benefits with 90% of the cost covered for employees
- Paid parental leave for all new parents
- Generous HSA contribution
- Paid disability and life insurance
- Participation in a 401(k)
- Wellness + Tech stipends
- Education and professional development reimbursement
Company HQ
Mountain View, CA
Leadership
Mudit Garg
(Founder & CEO)After 2 years as a McKinsey Consultant and an MBA at Stanford, they co-founded Qventus in August 2012. They have served as CEO since then.
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