Data Engineer - AI Semantic Analytics

Data Engineer - AI Semantic Analytics (Finance)

It takes powerful technology to connect our brands and partners with an audience of hundreds of millions of people. Whether you're looking to write mobile app code, engineer the servers behind our massive ad tech stacks, or develop algorithms to help us process trillions of data points a day, what you do here will have a huge impact on our business—and the world.

The Yahoo Consumer Data Team manages a petabyte-scale data ecosystem that powers insights across Yahoo's media products and drives improvements to user engagement and experience. We partner across multiple organizations at Yahoo to translate data into meaningful product impact.

Our team is evolving how data is accessed and consumed by moving toward semantic analytics and natural language-driven insights that enable faster, more intuitive decision-making. Your work will directly influence product strategy and help modernize how teams interact with data ng the way, you'll collaborate with talented engineers and analysts while contributing to innovation at one of the internet's pioneering companies.

We are seeking an entry-level Data Engineer with a strong interest in semantic analytics, AI-assisted querying, and natural language interfaces over large-scale data systems.

This role will begin as a customer-facing analytics position, where you will work directly with internal stakeholders to translate business questions into structured data insights using semantic layers and natural language query frameworks built on top of Big Query or MCP services.

As you grow in the role, you will transition into more backend-focused responsibilities, helping design and optimize the semantic layer, query orchestration services, and data infrastructure that power these experiences.

The ideal candidate is curious about AI‑driven analytics workflows, enjoys working closely with business partners, and is eager to build modern data access systems that bridge natural language and large‑scale data platforms.

• 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 Big Query 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 Big Query environments.
• Stay current on best practices in AI-driven analytics, semantic data modeling, and cloud data infrastructure.

• 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 Big Query (or equivalent platforms like Snowflake/Redshift).
• Understanding of data modeling principles and structured analytics workflows.
• Exposure to AI-assisted development tools such as Claude, Git Hub Copilot, Cursor, or similar is highly desirable.
• 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.

The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with…