Data Pipeline Engineer — Shopify Scraper + LLM Parser

What We're Building XyberDreams turns Shopify product pages into immersive 3D commerce experiences. To do that, we need a pipeline that takes a Shopify product URL and outputs structured product data + brand metadata, ready for our frontend to render. You will own this pipeline end-to-end. What You'll Build A system that takes a Shopify product URL as input and returns structured JSON as output. The pipeline handles: Extracting product info (title, price, images, variants, options) Detecting and extracting content sections (FAQ, sizing, shipping, returns, care, materials) Capturing brand signals (logo, colors, fonts, navigation) Using an LLM to classify, parse, summarize, and generate the final structured config Input: Shopify product URL Output: Clean, validated JSON ready for downstream rendering How You Build It Is Up To You We don't dictate tools or architecture. Pick what gets the job done well - Playwright, Puppeteer, Scrapy, Python, Node, OpenAI, Claude, whatever fits. We care about the output, not the process. Who You Are You've built scrapers or data pipelines on real-world websites before You've worked with LLM APIs and structured outputs (JSON schema, validation, retries) You ship working code fast — bias toward action, not over-engineering You can start within a few days of being hired You're responsive and can do daily check-ins Compensation $1,000 base + up to $500 bonus based on hitting success metrics. Details shared during interview. How to Apply Submit through LinkedIn with A link to a relevant project (GitHub, portfolio, or a brief description of past scraper / data pipeline / LLM work) One sentence on why this project interests you If we're a fit, we'll book a 15-minute call within 24 hours to talk through how you'd approach this.