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Overview The SciTech organization at VNS Health is seeking a Data Analytics and AI Engineer to join our team. You willwork with Palantir and other AI programming tools like Python and Typescript to build and deploy data-drivensolutions across our healthcare system. You will be responsible for developing and managing data workflows,analyzing large datasets and integrating AI and analytics solutions into real-world applications. This is a hands-on role that focuses on executing analytics use cases from start to finish, supporting end-to-end development of analytics applications. What We ProvideReferral bonus opportunitiesGenerous paid time off (PTO), starting at 30 days of paid time off and 9 company holidaysHealth insurance plan for you and your loved ones, Medical, Dental, Vision, Life DisabilityEmployer-matched retirement saving fundsPersonal and financial wellness programsPre-tax flexible spending accounts (FSAs) for healthcare and dependent careGenerous tuition reimbursement for qualifying degreesOpportunities for professional growth and career advancementInternal mobility, generous tuition reimbursement, CEU credits, and advancement opportunities What You Will DoWorks with data and analytics team to strive for greater functionality in our data systems.Builds the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS cloud native technologies.Creates and maintains optimal data pipeline architecture integrating large, complex data sets that meet functional and non-functional business requirements.Works with project stakeholders to assist with data-related technical issues and supports data infrastructure needs.Identifies, designs, and implements internal process improvements such as automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.Builds analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.Works with technical and non-technical business owners to streamline and update business logic and processes as needed.Participates in special projects and performs other duties as assigned.Qualifications Licenses and Certifications:Certification in Palantir AI platform preferred Education:Bachelor's Degree in Computer Science, Data Science, Engineering, or a related field required Work Experience:2-3 years of experience in software development, data engineering, or analytics roles requiredProficiency in programming languages like Python, SQL, and Typescript for building analytics applications and managing large datasets requiredProven ability to translate broad business concepts into effective and scalable data solutions requiredExperience in developing data models and performing data analysis requiredStrong problem-solving skills and ability to work efficiently in a fast-paced environment, delivering impactful results while maintaining high-quality standards requiredStrong communication skills to convey technical concepts to non-technical stakeholders requiredFamiliarity with designing scalable and efficient analytics frameworks preferredHands-on experience with analytics platforms and tools, including performance optimization and data visualization tools preferredAI 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 preferredExperience collaborating with senior leadership, IT, and business stakeholders to address strategic challenges preferredFamiliarity with AI and data science platforms such as Palantir, Dataiku, DataRobot, or similar, for developing and deploying data-driven solutions