AI Data Engineer

Hillsboro, OR*On-Site

Planning Power BI Textiles Equities Dashboard Management Automation Innovation Spreadsheets Supply Chain Data Quality Data Science Azure OpenAI Azure DevOps Data Modeling Microsoft 365 Reconciliation Microsoft Azure Decision Making Computer Science Product Roadmaps Data Engineering Microsoft Fabric Workflow Management Information Systems Microsoft Dataverse Microsoft SharePoint Cycle Time Variation Business Intelligence Artificial Intelligence Effective Communication Microsoft Power Automate Microsoft Power Platform Microsoft Copilot Studio Authorization (Computing) SQL (Programming Language) Open Data Protocol (OData) Git (Version Control System) Employee Assistance Programs Python (Programming Language) Data Analysis Expressions (DAX) Troubleshooting (Problem Solving) Generative Artificial Intelligence, We are looking for a skilled and innovative AI Data Engineer to join a team focused on modernizing how roadmap and portfolio data is managed, automated, and reported. In this role, you will leverage artificial intelligence and automation to streamline complex workflows across multiple platforms, eliminate manual data processes, and replace static slide- and spreadsheet-based reporting with dynamic, live dashboards. You will serve as a key contributor in building a governed single source of truth for hardware planning data, enabling smarter decision-making through AI-enabled solutions and real-time business intelligence., * Assess current workflows, baseline manual effort, and prioritize automation opportunities by impact using AI-driven approaches

• Integrate data from multiple platforms and cross-organization databases into a governed single source of truth with automated refresh and data-quality checks
• Build, maintain, and troubleshoot Power BI dashboards to replace manual reporting processes
• Develop and deploy AI use cases including change summaries, data reconciliation, natural-language Q&A, and report automation
• Aggregate and manage data across SharePoint, Azure DevOps, Excel, and cross-organizational systems
• Document solutions, train end users, and report measurable impact including hours saved, cycle-time reduction, and data quality improvements
• Translate business needs into technical solutions and executive-ready visualizations

• 4+ years of experience in data engineering, business intelligence, or analytics automation
• 2+ years of experience building and deploying production generative AI solutions in an enterprise environment
• Demonstrated track record of implementing AI use cases to optimize workflows and improve operational efficiency

• Previous experience in a large enterprise or technology environment is strongly preferred

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field, or equivalent practical experience
• Microsoft certifications in Power BI, Fabric, Power Platform, or Azure AI are preferred
• Expert-level Power BI including data modeling, DAX, Power Query (M), deployment, refresh management, and row-level security
• Proficiency with Azure DevOps queries, Analytics/OData, and REST APIs
• Hands-on experience with Power Automate, SharePoint Online, and the broader Microsoft Power Platform including Power Apps
• Production-level experience building generative AI solutions using tools such as Copilot Studio, Azure OpenAI, AI Builder, or Microsoft 365 Copilot
• Strong proficiency in SQL, Python, and advanced Excel
• Experience aggregating and reconciling data across multiple enterprise platforms and systems
• Clear and effective communication skills with the ability to present complex technical concepts to non-technical stakeholders
• Familiarity with Microsoft Fabric, Dataverse, KQL, Power Platform ALM, and Git is a plus
• Experience with hardware, supply-chain, or product roadmap and portfolio data is a plus, Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

This role is eligible for the following benefits:

• Medical, dental & vision
• Hospital plans
• 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available
• Life Insurance (Company paid Basic Life and AD&D as well as voluntary Life & AD&D for the employee and dependents)
• Company paid short and long-term disability
• Health & Dependent Care Spending Accounts (HSA & DCFSA)
• Employee Assistance Program
• Time Off/Leave(PTO, Allegis Group Paid Family Leave, Parental Leave

Benefits are subject to change and may be subject to specific elections, plan, or program terms.