Data Engineer - AI Semantic Analytics at Yahoo · United…

Summary: Yahoo is a leading internet company seeking an entry-level Data Engineer with a strong interest in semantic analytics and AI-assisted querying. This role involves working with internal stakeholders to translate business questions into structured data insights and will evolve into backend-focused responsibilities over time. Responsibilities: - Partner directly with internal stakeholders to gather analytical requirements and translate business questions into actionable data insights - Leverage semantic analytics frameworks and MCP services to enable natural language queries against BigQuery datasets - Develop, test, and optimize SQL queries and semantic models that support scalable and reliable analytics workflows - Contribute to the design and refinement of metadata layers, data dictionaries, and query abstractions to improve usability and consistency - Support the development of AI-assisted analytics workflows that integrate tools such as Claude, Copilot, Cursor, or similar coding assistants - Monitor data accuracy, performance, and reliability across analytics pipelines and query services - Collaborate with data engineers and platform teams to improve backend systems powering semantic query services - Assist in automating reporting and insight generation using modern BI and AI-enhanced tools - Troubleshoot query performance issues and improve cost efficiency within BigQuery environments - Stay current on best practices in AI-driven analytics, semantic data modeling, and cloud data infrastructure Required Qualifications: - BS in Computer Science, Data Science, Engineering, or a related field (or equivalent experience) - Strong interest in AI-driven analytics, semantic data layers, and modern data access patterns - Familiarity with SQL and cloud data warehouses such as BigQuery (or equivalent platforms like Snowflake/Redshift) - Understanding of data modeling principles and structured analytics workflows - Strong analytical thinking and problem-solving skills - Comfortable in a customer-facing or stakeholder-facing role with clear communication skills - Curiosity and willingness to grow from analytics support into backend data engineering work Preferred Qualifications: - Exposure to AI-assisted development tools such as Claude, GitHub Copilot, Cursor, or similar is highly desirable Required Skills: Semantic analytics, AI-assisted querying, Natural language interfaces, SQL, Cloud data warehouses, BigQuery, Snowflake, Redshift, Data modeling, Structured analytics workflows, AI-assisted development tools, Analytical thinking Benefits: Healthcare, A great 401k, Backup childcare, Education stipends, Much (much) more