AI Data Engineer: Automation & Insight Dashboards

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

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.