Data Engineer - AI Semantic Analytics
Role details
Job location
Tech stack
Job description
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., 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 BigQuery 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 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.
Requirements
- 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.
- Exposure to AI-assisted development tools such as Claude, GitHub 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 others ; exhibiting trustworthiness and meeting expectations ; and safeguarding business operations and brand integrity.
Benefits & conditions
The compensation for this position ranges from $76,500.00 - $159,375.00/yr and will vary depending on factors such as your location, skills and experience.The compensation package may also include incentive compensation opportunities in the form of discretionary annual bonus or commissions. Our comprehensive benefits include healthcare, a great 401k, backup childcare, education stipends and much (much) more.