AI, Data & Automation Engineer

To achieve and maintain our high-quality standards, we seek to partner with physicians and staff who share our vision, values and brand promises and are dedicated to advancing our culture. Qual Derm providers and staff are well-trained, highly skilled and recognized as leaders in the specialty of dermatology.

We currently have 158 practices in 17 states, spanning across the full spectrum of dermatology, skin cancer care, cosmetics, plastic surgery, and pathology with continued plans to expand further across the nation.

We will partner with you to establish the best combination of environment, technology, teamwork and personal reward opportunities to earn your confidence that we are your best place to work.

The AI, Data & Automation Engineer builds and evolves the organization's modern data platform and the intelligent automations that run on top of it. This role combines data engineering (Snowflake pipelines and models), analytics and visualization (Power BI), and process automation (LLM-powered workflows, RPA, and low-code tools) to turn internal and external data into trusted KPIs, actionable insights, and measurable operational efficiency.

The position is responsible for both the technical foundation of the data platform and the delivery of analytics and automation solutions that business teams rely on every day.

• Design, build, and optimize scalable ELT/ETL pipelines in Snowflake, ingesting data from diverse internal systems, third-party sources, and APIs while ensuring data quality, integrity, and performance.
• Develop and maintain dimensional and analytical data models, using tools such as SQL, dbt, Snowpark, Streams/Tasks, and orchestration frameworks.
• Monitor pipeline health and manage cost, performance tuning, and access controls (roles, warehouses, resource usage) within Snowflake.
• Apply version control, testing, and CI/CD practices to data and automation assets.

• Build analytics solutions that answer critical business questions, inform decisions, and drive operational efficiency.
• Develop, publish, and maintain Power BI reports, dashboards, and semantic models (DAX, Power Query, row-level security) that communicate insights clearly to audiences ranging from frontline teams to executives.
• Support development and tracking of KPIs and business metrics, and support ad hoc analysis projects as needed.

• Design and deploy LLM-powered solutions such as document and text extraction, summarization, classification, intelligent search/RAG over enterprise data, and AI-assisted reporting, using Snowflake Cortex, Azure OpenAI, or comparable platforms.
• Develop prompts, evaluation methods, and guardrails to ensure AI outputs are accurate, auditable, and appropriate for business use.
• Build and maintain RPA and workflow automations (e.g., Power Automate, UiPath, or similar) that eliminate manual, repetitive processes and integrate with the data platform and business systems.
• Identify and prioritize opportunities to increase efficiency through automation; document expected value and measure results after deployment.

• Partner with cross-functional teams and business stakeholders to gather and refine requirements and translate them into data, analytics, and automation deliverables.
• Develop and foster relationships with internal and external partners to manage work-streams and cross-functional deliverables.
• Partner with senior leaders to support data governance, security, and responsible AI practices, including protection of sensitive data (e.g., PHI/PII) and compliance with applicable regulations.
• Build stakeholder trust in data accuracy and cleanliness through…