AI Data Engineer

Aquent (United States); Hillsboro (OR); On-site; USD 110,000 - 160,000; Full time

Job summary

Aquent is seeking an AI Data Engineer to modernize data workflows, integrate diverse data sources, and build AI-enabled dashboards and natural-language data interactions. You will drive automation, quality checks, and governance across portfolio data to improve reporting cycles and decision-making.

The role requires 4+ years in data engineering or BI, 2+ years working with generative AI, and strong Power BI and Azure skills.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or related field, or equivalent experience.
• 4+ years of experience 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).
• Expertise in Power BI: data modeling, DAX, Power Query (M), refresh, deployment, and row-level security.
• Proficiency with Azure DevOps queries, Analytics/OData, and REST APIs; Power Automate; SharePoint Online; advanced Excel; SQL; and Python.
• Clear communicator who can translate business needs into technical solutions and executive-ready visuals.
• Demonstrated experience using AI to improve workflows or operational efficiency.

Responsibilities

• Assess current workflows, baseline manual effort, and prioritize automation opportunities based on impact.
• Integrate data from collaboration platforms, development operations tools, advanced spreadsheets, and cross-organization databases into a governed single source of truth, with automated refresh and data-quality checks.
• Build and maintain dashboards and AI use cases for change summaries, data reconciliation, natural-language Q&A, and report automation.
• Document solutions, train users, and report on the impact (e.g., hours saved, cycle-time reduction, data quality improvements).

Skills

Power BI

SQL

Python

REST APIs

Azure DevOps

SharePoint Online

Power Automate

Advanced Excel

AI / Generative AI

Data modeling

Education

Bachelor's degree in Computer Science/Information Systems/Data Science/Engineering

Tools

Fabric

Dataverse

KQL

Power Platform ALM

Git

Job description

A leading global technology company, at the forefront of innovation, is dedicated to empowering every person and every organization on the planet to achieve more. We are partnering with Aquent to find exceptional talent to contribute to this mission.

This is an incredible opportunity to shape the future of data management and reporting within a critical team. As an AI Data Engineer, you will be at the heart of transforming how crucial roadmap and portfolio data is managed and reported, moving from manual processes to dynamic, AI-powered solutions. Your work will directly impact operational efficiency, data accessibility, and strategic decision-making, enabling teams to operate with unprecedented agility and insight.

Impact You’ll Make

You will be instrumental in modernizing data workflows, integrating disparate data sources, and building advanced AI and automation solutions. This role is crucial for enhancing data quality, accelerating reporting cycles, and providing natural-language data interaction capabilities, directly contributing to more efficient hardware planning and reporting processes.

Key Responsibilities

• Assess current workflows, baseline manual effort, and prioritize automation opportunities based on impact.
• Integrate data from collaboration platforms, development operations tools, advanced spreadsheets, and cross-organization databases into a governed single source of truth, with automated refresh and data-quality checks.
• Build and maintain dashboards and AI use cases for change summaries, data reconciliation, natural-language Q&A, and report automation.
• Document solutions, train users, and report on the impact (e.g., hours saved, cycle-time reduction, data quality improvements).

Must-Have Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related field, or equivalent experience.
• 4+ years of experience 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).
• Expertise in Power BI: data modeling, DAX, Power Query (M), refresh, deployment, and row-level security.
• Proficiency with Azure DevOps queries, Analytics/OData, and REST APIs; Power Automate; SharePoint Online; advanced Excel; SQL; and Python.
• Clear communicator who can translate business needs into technical solutions and executive-ready visuals.
• Demonstrated experience using AI to improve workflows or operational efficiency. Candidates should be prepared to provide a live demo during the interview showcasing a past project where they implemented AI to improve workflow or operational efficiency (excluding confidential or customer-related information).

Nice-to-Have Qualifications

• Experience with hardware, supply-chain, or product roadmap and portfolio data.
• Experience with Fabric, Dataverse, or KQL; Power Platform ALM and Git.
• Certifications in Power BI, Fabric, Power Platform, or Azure AI.
• Previous experience working with leading technology companies.