
51 - 200 employees
🏥 Healthcare
🤖 Artificial Intelligence
☁️ SaaS
💰 $30M Seed on 2025-02
Healthcare • Artificial Intelligence • 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.
🕒 July 28
🇺🇸 United States – Remote
💵 $140k - $200k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
👷🏻♀️ Engineer
👻 Ghost score 18%
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51 - 200 employees
🏥 Healthcare
🤖 Artificial Intelligence
☁️ SaaS
💰 $30M Seed on 2025-02
Healthcare • Artificial Intelligence • 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.
• Serve as a technical implementation specialist and forward-deployed consultant for healthcare data integration • Design and build ETL pipelines using PySpark, SQL, and Azure data services • Develop data quality validation frameworks • Troubleshoot technical issues independently • Build reusable data components and optimize pipeline performance
• 5+ years of experience in data analytics, data engineering, or solution delivery roles • Strong analytical toolkit with proficiency in PySpark, Advanced SQL, and Excel • Production ETL experience with a track record of building and maintaining production-grade data pipelines • Data quality focus with experience implementing validation frameworks • Azure cloud platform experience including Azure Databricks, Data Factory, Blob Storage, Delta Lake • Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field
• Competitive salaries with equity packages • Robust medical/dental/vision insurance • Flexible working hours • Hybrid work options • Inclusive environment that fosters creativity and innovation
Apply Now🕒 July 28
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