Yahoo
DataEngineerAISemanticAnalytics
“Data Engineer - AI Semantic Analytics at Yahoo. Skills: semantic analytics, AI-assisted querying, natural language interfaces over large-scale data systems, BigQuery, SQL. 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.”
Industry & Context.
analytical thinking and problem-solving skills; Troubleshoot query performance issues
What They're Looking For.
Must Have
BS in Computer Science, Data Science, Engineering, or a related field (or equivalent experience), Familiarity with SQL, cloud data warehouses such as BigQuery (or equivalent platforms like Snowflake/Redshift), Understanding of data modeling principles, structured analytics workflows, analytical thinking and problem-solving skills, Comfortable in a customer-facing or stakeholder-facing role, clear communication skills, Curiosity and willingness to grow from analytics support into backend data engineering work
Nice to Have
interest in AI-driven analytics, semantic data layers, and modern data access patterns, Exposure to AI-assisted development tools such as Claude, GitHub Copilot, Cursor, or similar is highly desirable
What You'll Do.
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.
and optimize SQL queries and semantic models that support scalable and reliable analytics workflows.
Contribute to the design and refinement of metadata layers
and query abstractions to improve usability and consistency.
Support the development of AI-assisted analytics workflows that integrate tools such as Claude
or similar coding assistants.
Monitor data accuracy
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.
How You'll Work.
Team & Collaboration
Partner directly with internal stakeholders; Collaborate with data engineers and platform teams
Communication Scope
clear communication skills
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