QA Automation Engineer

• Design, build, and optimize scalable ELT/ETL pipelines in Snowflake
• Ingest data from internal systems, third-party sources, and APIs while ensuring data quality, integrity, and performance
• Develop and maintain dimensional and analytical data models using SQL, dbt, Snowpark, Streams/Tasks, and orchestration frameworks
• Monitor pipeline health and manage Snowflake cost, performance, and access controls
• Apply version control, testing, and CI/CD practices to data and automation assets
• Build analytics solutions that answer business questions and drive operational efficiency
• Develop, publish, and maintain Power BI reports, dashboards, and semantic models using DAX, Power Query, and row-level security
• Support KPI and business metric development and ad hoc analysis projects
• Design and deploy LLM-powered solutions for extraction, summarization, classification, intelligent search/RAG, and AI-assisted reporting
• Develop prompts, evaluation methods, and guardrails for accurate, auditable, and appropriate AI outputs
• Build and maintain RPA and workflow automations integrating with the data platform and business systems
• Identify automation opportunities, document expected value, and measure results after deployment
• Partner with cross-functional teams and stakeholders to gather requirements and deliver data, analytics, and automation solutions
• Manage workstreams and cross-functional deliverables with internal and external partners
• Support data governance, security, responsible AI, and protection of PHI/PII
• Build stakeholder trust through documentation, validation, and clear communication
• Stay current on data, AI, and automation technologies and comply with organizational policies

Explore AI, Data & Automation Engineer at QualDerm Partners. Review requirements and application details.