> Markdown version of [/jobs/ext/2966067-ai-data-pipeline-engineer-in-united-states](https://www.wearedevelopers.com/jobs/ext/2966067-ai-data-pipeline-engineer-in-united-states). 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 Pipeline Engineer in , United States - **Company:** Energy Jobline - **Location:** United States - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Artificial Intelligence, Databases, Data Mining, Oracle Exadata, Node.Js, Oracle Databases, Oracle (Applications), Systems Integration, Large Language Models, Oracle Cloud Infrastructure, Data Pipelines - **Published:** September 17, 2026 - **Apply:** https://www.energyjobline.com/job/ai-data-pipeline-engineer-united-states-31670738 ## About the Role Experience working with geospatial data types (rasters and vectors) Experience building data pipelines to integrate data from multiple sources: Designing and implementing readers to extract metadata from data sources, with a focus on flexible readers that can adapt to new and changing data formats. Designing and implementing metadata enrichment capabilities, such as data providence, pedigree, lineage, and security attributes. Designing and implementing event pipelines that orchestrate data cataloging processes for different data types, including processes for data extraction, normalization, enrichment, and ingestion. Leveraging AI to enhance data extract, enrichment, catalog, and discovery capabilities Experience with designing and building AI agents Integrating mission data with LLMs using RAG and MCP Designing and building Node.js applications and dashboards connected to Oracle Databases OpenAI Codex Desired Skills/Capabilities: Oracle Cloud Infrastructure (OCI) Oracle AI Database 26ai Oracle Exadata and/or OCI Autonomous AI Database Service on Exadata AI-enabling data in Oracle Databases using Vector data type, RAG, and MCP Designing multi-modal databases that integrate multiple data types, including ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Stop using Node.js like in 2020! What changed and what you can do today with Node.js](https://www.wearedevelopers.com/videos/100011-stop-using-node-js-like-in-2020-what-changed-and-what-you-can-do-today-with-node-js) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [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) - [Stop Using Node.js Like It’s 2020! - Alfonso Graziano](https://www.wearedevelopers.com/videos/1863-stop-using-node-js-like-it-s-2020-alfonso-graziano) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [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)