> Markdown version of [/jobs/ext/133023-ai-data-engineer](https://www.wearedevelopers.com/jobs/ext/133023-ai-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). --- # AI Data Engineer - **Company:** ARIES SOLUTIONS, LLC - **Location:** Westerville, OH, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Encodings, Information Engineering, Web Scraping, Data Integration, Python (Programming Language), Parsing, Shopify, SQL Databases, Systems Integration, Tokenization, Large Language Models, Information Technology, Api Design - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=2fe3a7958b3eedf0 ## About the Role * Education: Four-year degree in Computer Science or equivalent experience. * 5+ years of professional data engineering experience with strong Python and SQL. * Experience building transformation pipelines (Airflow, Dagster, dbt, or equivalent). * Knowledge of how LLMs consume data (tokenization, context windows, parsing). * Experience with vector databases or embedding-based retrieval (Pinecone, pgvector, etc.). * Understanding of data quality patterns: validation, schema enforcement, and anomaly detection. * Experience with API-based and webhook-based data integration. * Excellent communication skills for technical and non-technical stakeholders. * Ability to manage multiple responsibilities in a fast-paced environment. * Comfortable in a consulting environment where data sources and quality vary wildly., * Experience working and integrating systems with commerce platforms (commercetools, Shopify, Kibo, or similar). * Hands-on experience with LLMs for production-level content generation or classification. * Experience with web scraping or content extraction pipelines. ## Related Videos - [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) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [WeAreDevelopers LIVE - Markdown, Liquid and Checkouts](https://www.wearedevelopers.com/videos/1814-wearedevelopers-live-markdown-liquid-and-checkouts) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Scrape, Train, Predict: The Lifecycle of Data for AI Applications](https://www.wearedevelopers.com/videos/1652-scrape-train-predict-the-lifecycle-of-data-for-ai-applications) ## Related Articles - [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) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)