Engineer, Software Development Architect

Lifepoint Health is an Equal Opportunity Employer committed to providing data-driven solutions in the healthcare system. The Software Development Engineer/Architect will utilize the Palantir 'Foundry' Platform and AI programming tools to develop and manage data workflows, analyze large datasets, and integrate analytics solutions into healthcare applications.

Responsibilities:

• Develop, optimize & rollout workflows and applications (40%)
• Design, build, and optimize data models and workflows within Palantir to support analytics and AI-driven applications
• Create scalable and efficient data structures that facilitate effective data management and ensure accuracy in application outputs
• Put workflows and applications into production and ensure user engagement
• Create and deploy end-to-end analytics applications (30%)
• Develop and deploy comprehensive analytics and AI applications, utilizing Palantir, Python, and Typescript
• Conduct in-depth analysis of large, complex datasets to identify actionable insights, trends, and opportunities for improvement
• Apply advanced analytics techniques to support decision-making and enhance healthcare outcomes
• Ensure applications integrate seamlessly into healthcare workflows, optimizing operational processes and supporting healthcare delivery
• Collaborate with stakeholders to understand business needs (20%)
• Engage with business stakeholders to understand strategic needs, translating business concepts into actionable data insights
• Communicate findings and proposed solutions to technical and nontechnical teams, aligning analytics solutions with organizational goals
• Support cross-functional integration and application performance (10%)
• Work closely with cross-functional teams, including IT, business, and healthcare professionals, to integrate data-driven solutions into existing workflows
• Provide technical support and continuous improvement insights to ensure successful application deployment and performance

Requirements:

• 5+ years of experience in software development, data engineering, or analytics roles
• Proficiency in programming languages like Python, SQL, and Typescript for building analytics applications and managing large datasets
• Proven ability to translate broad business concepts into effective and scalable data solutions
• Experience in developing data models and performing data analysis
• Strong problem-solving skills and ability to work efficiently in a fast-paced environment, delivering impactful results while maintaining high-quality standards
• Strong communication skills to convey technical concepts to non-technical stakeholders
• Bachelor's Degree in Computer Science, Data Science, Engineering, or a related field
• Familiarity with designing scalable and efficient analytics frameworks to support workflow applications
• Hands-on experience with analytics platforms and tools, including performance optimization and data visualization tools
• AI and LLM Aptitude: Strong curiosity and foundational understanding of AI concepts, including Large Language Models (LLMs), machine learning, and natural language processing (NLP), with a willingness to apply and deepen knowledge in these areas
• Experience collaborating with differing levels of leadership, IT, and business stakeholders to address strategic challenges
• Familiarity with AI and data science platforms such as Palantir, Dataiku, DataRobot, or similar, for developing and deploying data-driven solutions
• Experience with data visualization tools, such as Tableau, Power BI, or similar, for translating complex data insights into actionable, user-friendly visuals
• Certification in Palantir AI platform (or the ability to obtain it within the first year of employment)