Kforce has a client that is seeking an AI Data Engineer in Mountain View, CA. Typical Day in the Role: * Purpose of the Team: The operations team, specifically the analytics subgroup, focuses on migrating standalone data estates into Microsoft Fabric and integrating data from new vendors, supporting analytics and dashboard creation * Key Projects: Migration of data to Microsoft Fabric, onboarding data from a new vendor, rebuilding dashboards and analytic workflows, and integrating telemetry for unified operational views Typical Task Breakdown & Operating Rhythm: * Onboarding and ingesting data from diverse sources * Building scalable, automated ETL pipelines using Azure Data Factory, Logic Apps, and Kusto Query Language * Designing and maintaining real-time dashboards with Azure Data Explorer and Power BI * Implementing data modeling and governance standards * Collaborating with cross-functional teams for infrastructure integration and telemetry Key Responsibilities: * Data Onboarding & Parsing: Ingest and normalize structured/unstructured data (live and historical data) from diverse sources (using Event Hubs, SQL, Vector, etc.) * ETL Pipeline Development: Build scalable, automated pipelines using Azure Data Factory (ADF), Logic Apps, and Kusto Query Language (KQL) * Dashboard Development: Design and maintain real-time dashboards using Microsoft Fabric (Power BI), Azure Data Explorer (ADX) and Azure Data Studio * Data Modeling & Governance: Implement robust data models and enforce governance standards across analytics workflows * Infrastructure Integration: Collaborate with cross-functional teams to integrate telemetry, license usage, and operational metrics into unified views * Performance Optimization: Tune queries and pipelines for speed, reliability, and cost-efficiency