Senior Data Platform Engineer, Qventus
$150-185k
+ Employee stock option awards
AI-powered healthcare operations
Be an early applicant
AI-powered healthcare operations
101-200 employees
Be an early applicant
$150-185k
+ Employee stock option awards
101-200 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
- Experience working with Data Science teams to support ML Ops
- 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)
Desirable
- 3+ 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
- Interest in mentoring and supporting new developers
- 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
- 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
What the job involves
- As a Senior Data Platform Engineer, you will lead the design, development, and management across investments to platform and data pipelines
- You will identify, monitor, and lead initiatives to ensure our data platform (including both the core pipeline frameworks, warehousing, and ML Ops platform) remains scalable, reliable, and efficient in light of evolving requirements of our products and services
- 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 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
- 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
- Provide expertise on the overall data engineering best practices, standards, architectural approaches and complex technical resolutions
- When needed 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 have aims to use AI to interpret medical data, but Qventus’ 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 new solutions and innovations, as well as continue its expansion to additional hospitals and health systems.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 6 rounds)
Aug 2022
$3m
LATE VC
Mar 2022
$50m
GROWTH EQUITY VC
Total funding: $111m
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 values
- Accountability & Ownership - Anything that affects our ability to help our customers is always “our business”
- Customer Empathy - We invest time and resources to understand our customers and enable their success
- Help Others Succeed - We share knowledge broadly, so that each of us can make the best possible decision
- Plan, Do, Learn, Improve - We seek to continuously improve our company, our products, and ourselves
- Simplicity - We always aspire to simplify things, and eliminate jargon
- Total Honesty Delivered Respectfully - We practice radical honesty and do it with respect and grace
Company HQ
Mountain View, CA
Articles
Leadership
Mudit Garg
(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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