Data Integration

Generative Engine Optimization Data EngineerDesign, build, and maintain scalable data pipelines to ingest, transform, and serve data for Generative Engine Optimization workflowsIntegrate data from multiple third-party vendors and external sources to support Generative Engine Optimization initiativesEnsure data quality, schema validation, and consistency across all data sources feeding into Generative Engine Optimization modelsBuild and maintain API extraction scripts to pull data from internal and external sources relevant to Generative Engine OptimizationDevelop reusable API connectors with proper authentication, rate limiting, and error handlingLiaise with business teams to gather requirements, understand Generative Engine Optimization use cases, and translate them into technical solutionsWrite Python scripts to automate data extraction, transformation, and loading processes in support of Generative Engine Optimization pipelinesApply working knowledge of LLMs and prompt engineering to enhance Generative Engine Optimization outcomesAssist in evaluating and testing LLM outputs and AI-generated responses against Generative Engine Optimization benchmarks and quality metricsDocument all data workflows, pipeline designs, and integration patterns for team knowledge sharingEssentially data engineer with strong GEO (Generative Engine Optimization) experience.