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# AI Data Engineer 1

- **Company:** Everforth Apex
- **Location:** Hillsboro, OR, United States
- **Experience:** Experienced
- **Salary:** $97,760.0 - $108,160.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Artificial Intelligence, Data Analysis, Microsoft Azure, Spreadsheets, Information Systems, Databases, Information Engineering, Python (Programming Language), Open Data Protocol, Power BI, OpenAI, Kusto Query Language, Microsoft SharePoint, SQL Databases, Microsoft Power Automate, Office365, Git, Powerquery, Microsoft Fabric, Microsoft Copilot Studio, Information Technology, Azure AI, Restful APIs
- **Published:** October 22, 2026
- **Apply:** https://www.dice.com/job-detail/da54c1ad-ca79-42a2-9f9c-85a6736ad4a7

## About the Role

* Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field, or equivalent experience.
 * 4+ years in data engineering, business intelligence, or analytics automation.
 * 2+ years building production generative-AI solutions (e.g., Copilot Studio, Azure OpenAI, AI Builder, Microsoft 365 Copilot).
 * Expert Power BI: data modeling, DAX, Power Query (M), refresh, deployment, and row-level security.
 * Azure DevOps queries, Analytics/OData, and REST APIs; Power Automate; SharePoint Online; advanced Excel; SQL; and Python.
 * Clear communicator who can turn business needs into technical solutions and executive-ready visuals.

Preferred Qualifications

 * Experience with hardware, supply-chain, or product roadmap and portfolio data.
 * Microsoft Fabric, Dataverse, or KQL; Power Platform ALM and Git.
 * Microsoft certifications in Power BI, Fabric, Power Platform, or Azure AI.

## Description

Our team is seeking an AI Data Engineer to modernize how roadmap and portfolio data is managed and reported. The contractor will use AI and automation to streamline workflows across SharePoint, Azure DevOps (ADO), Excel, and cross-organization databases, and replace manual, slide- and spreadsheet-based reporting with live Power BI dashboards., * Assess current workflows, baseline manual effort, and prioritize automation opportunities by impact.

 * Integrate data from SharePoint, ADO, Excel, and cross-organization databases into a governed single source of truth, with automated refresh and data-quality checks.
 * Build and maintain the Power BI dashboards and AI use cases for change summaries, data reconciliation, natural-language Q&A, and report automation.
 * Document solutions, train users, and report impact (hours saved, cycle-time reduction, data quality).