[Remote] Data Engineer - AI Semantic Analytics

Note: The job is a remote job and is open to candidates in USA. Yahoo is a leading company that connects brands and partners with a vast audience. They are seeking an entry-level Data Engineer focused on semantic analytics and AI-assisted querying, responsible for translating business questions into structured insights and optimizing data systems.

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

Skills

• 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
• Exposure to AI-assisted development tools such as Claude, GitHub Copilot, Cursor, or similar is highly desirable

Benefits

• Healthcare
• A great 401k
• Backup childcare
• Education stipends
• Much (much) more

Company Overview

Company H1B Sponsorship