
51 - 200 employees
π₯ Healthcare
π€ Artificial Intelligence
βοΈ SaaS
π° $30M Seed on 2025-02
Healthcare β’ Artificial Intelligence β’ SaaS
Qualified Health is a healthcare-native enterprise AI platform that unifies AI solutions, governance, integrations, and builder tools for health systems. The company provides an end-to-end platform that connects to clinical, operational, and financial systems to power multiple AI workflows, offers a library of validated AI solutions, agent and workflow builder tools, and built-in governance, oversight, and workforce education. It aims to enable safe, compliant, and measurable AI deployment across health systems and is partnered with major health systems and AI organizations; it reports rapid deployments (15k users in <1 month) and measurable financial and operational impact.
π₯ 1 minute ago
πΊπΈ United States β Remote
π΅ $140k - $200k / year
β° Full Time
π‘ Mid-level
π Senior
π·π»ββοΈ Engineer
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51 - 200 employees
π₯ Healthcare
π€ Artificial Intelligence
βοΈ SaaS
π° $30M Seed on 2025-02
Healthcare β’ Artificial Intelligence β’ SaaS
Qualified Health is a healthcare-native enterprise AI platform that unifies AI solutions, governance, integrations, and builder tools for health systems. The company provides an end-to-end platform that connects to clinical, operational, and financial systems to power multiple AI workflows, offers a library of validated AI solutions, agent and workflow builder tools, and built-in governance, oversight, and workforce education. It aims to enable safe, compliant, and measurable AI deployment across health systems and is partnered with major health systems and AI organizations; it reports rapid deployments (15k users in <1 month) and measurable financial and operational impact.
β’ Serve as a technical implementation specialist and forward-deployed consultant for healthcare data integration β’ Design and build ETL pipelines using PySpark, SQL, and Azure data services β’ Develop data quality validation frameworks β’ Troubleshoot technical issues independently β’ Build reusable data components and optimize pipeline performance
β’ 5+ years of experience in data analytics, data engineering, or solution delivery roles β’ Strong analytical toolkit with proficiency in PySpark, Advanced SQL, and Excel β’ Production ETL experience with a track record of building and maintaining production-grade data pipelines β’ Data quality focus with experience implementing validation frameworks β’ Azure cloud platform experience including Azure Databricks, Data Factory, Blob Storage, Delta Lake β’ Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field
β’ Competitive salaries with equity packages β’ Robust medical/dental/vision insurance β’ Flexible working hours β’ Hybrid work options β’ Inclusive environment that fosters creativity and innovation
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