> Markdown version of [/jobs/ext/2600296-data-engineer](https://www.wearedevelopers.com/jobs/ext/2600296-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** The Stray Dog Limited Partnership - **Location:** United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Information Engineering, Data Files, Extract Transform Load (ETL), Raw Data, Tools for Reporting - **Published:** August 6, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=05530a329a290862 ## About the Role * A data engineering background, with pipeline and ETL experience, plus normalization and standardization work on real-world, messy data sets. * Comfortable owning problems end-to-end, even when the specification isn't fully worked out ahead of time. * An AI-native workflow: comfortable using tools like Claude Code or Codex as part of day-to-day development. ## Description We're looking for a data engineer to join a data team responsible for acquiring, normalizing, and standardizing real estate and property market data. That data powers a suite of consumer- and agent-facing products, including reporting tools, maps, charts, and widgets embedded on other websites. What You'll Work On * Ingesting and normalizing real estate market data, including MLS feeds (Multiple Listing Service data, the standard source of property listing information used across the real estate industry), along with related third-party data sets. * Building and maintaining ETL pipelines (Extract, Transform, Load: pulling raw data from its source, cleaning and reshaping it, then loading it into a system others can use) that feed reporting, mapping, and visualization products. * Partnering with product engineering teams to support data-driven features and consumer-facing visualizations. ## Related Videos - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Introduction to TXT](https://www.wearedevelopers.com/videos/30-introduction-to-txt) - [Minimising the Carbon Footprint of Workloads](https://www.wearedevelopers.com/videos/1198-minimising-the-carbon-footprint-of-workloads) - [Implementing continuous delivery in a data processing pipeline](https://www.wearedevelopers.com/videos/73-implementing-continuous-delivery-in-a-data-processing-pipeline) - [Why Your AI Agent Keeps Hallucinating Your Data: Building Deterministic Context Layers](https://www.wearedevelopers.com/videos/2055-why-your-ai-agent-keeps-hallucinating-your-data-building-deterministic-context-layers) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [ Dev Digest 213: Petrol Prices, Agentic Workflows, AI Skills and CODE100!](https://www.wearedevelopers.com/magazine/718-dev-digest-213-petrol-prices-agentic-workflows-ai-skills-and-code100)