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Position: Data Integration Engineer Location: Sunnyvale, CA (Onsite) Duration: Fulltime
Job Description:
- Design, build, and maintain scalable data pipelines to ingest, transform, and serve data for Generative Engine Optimization workflows
- Integrate data from multiple third-party vendors and external sources to support Generative Engine Optimization initiatives
- Ensure data quality, schema validation, and consistency across all data sources feeding into Generative Engine Optimization models
- Build and maintain API extraction scripts to pull data from internal and external sources relevant to Generative Engine Optimization
- Develop reusable API connectors with proper authentication, rate limiting, and error handling
- Liaise with business teams to gather requirements, understand Generative Engine Optimization use cases, and translate them into technical solutions
- Write Python scripts to automate data extraction, transformation, and loading processes in support of Generative Engine Optimization pipelines
- Apply working knowledge of LLMs and prompt engineering to enhance Generative Engine Optimization outcomes
- Assist in evaluating and testing LLM outputs and AI-generated responses against Generative Engine Optimization benchmarks and quality metrics
- Document all data workflows, pipeline designs, and integration patterns for team knowledge sharing
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