AI Data Engineer

Blueprint is hiring an AI Data Engineer to modernize data management, workflow automation, and reporting for cloud infrastructure and hardware planning initiatives. The role integrates data across platforms, builds Power BI dashboards, and applies AI and data engineering to automate processes and improve data quality and decision-making.

Responsibilities

• Assess existing business workflows, establish baselines for manual effort, and identify opportunities for AI-driven automation based on business impact
• Integrate and consolidate data from SharePoint, Azure DevOps, Excel, and cross-functional databases into a centralized, governed source of truth
• Develop, maintain, and troubleshoot Power BI dashboards that deliver timely, accurate, and actionable business insights
• Build and implement AI-powered solutions for workflow automation, data reconciliation, change summaries, natural-language querying, and report generation
• Automate data refresh processes and implement data validation, quality checks, and reporting controls to improve reliability and consistency
• Use Power Platform tools and integrations to streamline data collection, processing, reporting, and operational workflows
• Collaborate with stakeholders to translate business requirements into scalable technical solutions and clear, executive-ready visualizations
• Document technical solutions, develop user guidance, and support adoption of automated workflows and reporting tools
• Measure and communicate the impact of implemented solutions through metrics such as hours saved, cycle-time reduction, and improvements in data quality
• Continuously evaluate existing dashboards and processes to identify opportunities for optimization, efficiency, and improved user experience

Preferred

• Experience working with hardware planning, cloud infrastructure, supply-chain data, product roadmaps, or portfolio reporting
• Experience optimizing AI workloads or implementing AI-enabled workflow improvements in an enterprise environment
• Experience consolidating data across organizational systems into a centralized reporting or analytics solution
• Familiarity with Microsoft Fabric, Dataverse, or Kusto Query Language (KQL)
• Experience with Power Platform application lifecycle management (ALM), Git, or related version control practices
• Experience developing governed, scalable data solutions with automated refresh processes and data-quality monitoring
• Relevant certifications in Power BI, Microsoft Fabric, Power Platform, or Azure AI
• Hardware Planning
• Cloud Infrastructure
• Supply-Chain Data
• Product Roadmapping
• Portfolio Reporting
• AI Workload Optimization
• AI-Enabled Workflow Improvement
• Enterprise Systems
• Data Consolidation
• Centralized Reporting
• Analytics Solutions
• Microsoft Fabric
• Dataverse
• Kusto Query Language (KQL)
• Power Platform ALM
• Git
• Version Control
• Governed Data Solutions
• Scalable Data Solutions
• Automated Data Refresh
• Data-Quality Monitoring
• Power BI Certification
• Microsoft Fabric Certification
• Power Platform Certification
• Azure AI Certification

Benefits

• Eligible employees have access to a comprehensive benefits package that may include medical, dental, and vision coverage.
• Eligible employees have access to a comprehensive benefits package that may include a Flexible Spending Account (FSA).
• Eligible employees have access to a comprehensive benefits package that may include a 401(k) retirement plan.
• Eligible employees have access to a comprehensive benefits package that may include competitive paid time off.
• Eligible employees have access to a comprehensive benefits package that may include parental leave.
• Eligible employees have access to a comprehensive benefits package that may include professional growth and development opportunities.
• Remote location.

Company

• Enterprise cloud and data optimization for digital transformation
• Bellevue, Washington, USA
• https://bpcs.com/
• Founded in 2013
• 501-1000 employees

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, or a related field, or equivalent practical experience
• Experience in data engineering, business intelligence, analytics automation, or a related technical discipline
• Demonstrated experience implementing AI solutions to improve workflows, automate repetitive tasks, or increase operational efficiency
• Hands-on experience with Power BI, including data modeling, DAX, Power Query, dashboard development, data refresh, deployment, and row-level security
• Experience with Microsoft Power Platform tools, including Power Automate and Power Apps, to support business process automation and data-driven solutions
• Familiarity with Azure DevOps, including queries, Analytics/OData, and REST API integrations
• Experience working with SharePoint Online, advanced Excel, SQL, and Python for data integration, analysis, transformation, or automation
• Ability to aggregate and reconcile data from multiple platforms and systems while maintaining data accuracy and consistency
• Experience developing or implementing generative AI solutions using tools such as Copilot Studio, Azure OpenAI, AI Builder, or Microsoft 365 Copilot
• Strong analytical, troubleshooting, and problem-solving skills, with the ability to identify process inefficiencies and recommend practical improvements
• Clear communication skills, including the ability to explain technical solutions, document workflows, and present data insights to business stakeholders
• Ability to demonstrate a previous AI implementation through a live project walkthrough, without disclosing confidential employer, customer, or proprietary information
• Experience working with hardware planning, cloud infrastructure, supply-chain data, product roadmaps, or portfolio reporting
• Experience optimizing AI workloads or implementing AI-enabled workflow improvements in an enterprise environment
• Experience consolidating data across organizational systems into a centralized reporting or analytics solution
• Familiarity with Microsoft Fabric, Dataverse, or Kusto Query Language (KQL)
• Experience with Power Platform application lifecycle management (ALM), Git, or related version control practices
• Experience developing governed, scalable data solutions with automated refresh processes and data-quality monitoring
• Relevant certifications in Power BI, Microsoft Fabric, Power Platform, or Azure AI

Required skills

• Azure DevOps, Azure OpenAI, Copilot Studio, DAX, Microsoft Excel, Power Apps, Power Automate, Power BI, Power Query, Python, SQL, SharePoint Online

Experience

• Mid level