Analytics Engineer

Analytics EngineerOur client, a Media, Information and Services company, is looking for an Analytics Engineer for their Charlotte, NC/Hybrid location. Responsibilities:Medallion Transformation: Use Spark and SQL to architect the Silver and Gold layers of our Lakehouse, ensuring all data is rigorously tested, clean, and documented. Semantic Modeling: Design and maintain the Microsoft Fabric Semantic Model (Direct Lake mode) to provide a "Single Source of Truth" across the entire organization. Business Logic Codification: Partner closely with Sales and Finance stakeholders to translate "What" and "Why" business questions into precise technical data definitions. AI Data Readiness: Structure data specifically for LLM consumption, enabling our AI Data Agents to accurately navigate complex hierarchies of stations, advertisers, and categories. Data Governance & Security: Implement Row-Level Security (RLS) and maintain data lineage to ensure compliance with Hearst's unified data strategy. Technical Leadership: Lead the design of project-specific data models, prepare design specifications, and conduct feature estimations in collaboration with cross-functional teams. Optimization & RCA: Perform root cause analysis on anomalies and implement solutions to minimize points of failure and optimize data pipeline performance. Requirements:Experience: 7+ years in business analytics, data modeling, or data engineering (or a Master's degree with 5+ years of experience). Modeling Expertise: 5+ years of deep experience with relational modeling concepts and Microsoft tabular semantic models. Technical Proficiency: Expert-level SQL skills and 5+ years of experience with Power BI, DAX, and Spark (Spark SQL/PySpark/Scala). Platform Knowledge: Strong hands-on experience with Microsoft Fabric tools and the Delta Lake format. Logic & Design: Demonstrated experience translating complex business requirements into technical requirements using Star Schema/Dimensional modeling. DevOps: Familiarity with Git, CI/CD, and modern development workflows. Communication: Proven ability to collaborate with stakeholders and escalate data requirements or constraints effectively. Familiarity with governance, security best practices, and performance tuning in a cloud environment. Experience in the media or broadcasting industry is a plus. Knowledge of serverless architectures and containerized deployment. Why Should You Apply?Health Benefits Referral Program Excellent growth and advancement opportunities