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Tier-1 brand, remote mid-level generalist Data Engineer in metro with broad cloud and AI requirements.
Advanced cloud, data engineering, and LLM skills are transferable, though healthcare/regulatory preference increases domain specificity.
Explicit 5+ years plus required AWS/Azure/Generative AI expertise and specific tooling raises screening strictness.
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Design, develop, and maintain scalable cloud-based data engineering pipelines and enterprise data models on AWS and Azure platforms.
Integrate and build AI-powered solutions using Microsoft Copilot Studio, Generative AI, and Large Language Models within enterprise data environments.
Implement data governance, security controls, and automate DevOps pipelines for scalable, secure, and efficient data and AI workflows.
Minimum 5+ years of experience in data, cloud, or analytics engineering roles.
At least 3 years hands-on experience with AWS data technologies and 1+ year with Azure data services.
Experience working with Microsoft Copilot Studio, Generative AI, or Large Language Models for enterprise AI applications (minimum 1 year).
Strong programming skills in Python, advanced SQL, and PySpark; expertise in ETL/ELT pipeline development.
Experienced in building scalable, secure data platforms in hybrid cloud environments (AWS and Azure) integrating AI and automation solutions.
Demonstrates ability to lead cross-functional collaboration with architects, AI engineers, and business stakeholders to deliver enterprise AI-driven data products.
Familiar with healthcare or regulated industries preferred due to domain relevance; capable of working in Agile product delivery teams.