Data Engineer

Azure Data Engineer (AI & Data Platform Focus) Type: Contract (Consultant) Must be eligible to work in US without sponsorship or transfer ever Location: Remote Overview Our client is a well-established, highly profitable specialty insurance organization undergoing a major AI and data transformation. With strong executive backing and board-level visibility, they are investing heavily in modernizing their data platform and embedding AI into core business operations. This is not a greenfield startup, but it does offer the rare opportunity to transform a mature data environment into an AI-enabled, forward-looking platform with real business impact. Seeking a senior-level Azure Data Engineer with strong AI experience to help expand the data warehouse and enable next-generation use cases involving unstructured data, text, and voice. This is an exciting opportunity to help turn a traditional warehouse into an AI-enabled platform. Small, smart and collaborative team. Excellent work/life balance. Key Responsibilities • Enhance and scale an existing Azure-based data warehouse (Microsoft Fabric) • Design and implement pipelines to ingest, structure, and make unstructured data queryable • Support AI initiatives leveraging Azure AI Foundry and Claude (Opus) for text and voice-driven data interactions • Partner closely with internal stakeholders to evolve the data model and enable self-service analytics • Provide technical leadership and hands-on development to accelerate AI/data initiatives • Collaborate with existing team members and elevate overall AI capability Required Experience • Strong experience with Azure Data Engineering (Microsoft Fabric preferred) • Proven hands-on experience with AI/ML integrations in data platforms • Experience working with unstructured data (text, voice) and making it usable for analytics • Familiarity with LLMs such as Claude (or similar models like GPT) • Ability to design scalable data models and pipelines in modern cloud environments Nice to Have • Experience with AI Foundry or similar frameworks • Background in building conversational or voice-enabled data solutions