The AI Data Engineer will manage the full lifecycle of data solutions, including ETL pipelines, analytics, and AI-driven workflows, while collaborating with various stakeholders to support strategic and operational needs.

Own end-to-end data solutions across ingestion, transformation, warehousing, monitoring, and dashboards. Build scalable ETL/ELT pipelines, AI-enabled workflows, and analytics products. Partner cross-functionally, operate in rotating domain ownership, ensure data quality, compliance, and delivery, and drive initiatives from architecture through production with automation and AI-assisted practices.

Investigate and resolve client-reported technical issues across web and mobile platforms, perform scenario-based testing, monitor and debug RESTful services, assist with eligibility file processing and system monitoring, coordinate with global support teams, and participate in design and code reviews to ensure platform reliability and scalability.