Remote AI Data Engineer | Automate Workflows & Dashboards

Experis Technology Group

Hillsboro (OR)

Remote

USD 63,000 - 66,000

Full time

4 days ago
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Benefits offered by this job

Medical Plan
Dental Plan
Vision Plan
Health Savings Account
Health FSA
Dependent Care FSA
Life Insurance
Disability Insurance
Travel Insurance
401(k) Plan + Match
Weekly Pay

Job summary

Applications Dev & Test in Hillsboro, OR (Remote) is seeking an AI Data Engineer to join the SPARC_COGS_1010 team. You will automate manual workflows, build trusted data pipelines, and translate business needs into executive-ready dashboards and AI-enabled experiences.

The role requires a BS in a related field or equivalent, 4+ years in data engineering/BI, and 2+ years building production generative-AI solutions.

Qualifications

  • Bachelor's degree or equivalent experience in CS/IS/DS/Engineering.
  • 4+ years data engineering, BI, or analytics automation.
  • 2+ years building production generative-AI solutions.
  • Expert Power BI skills including data modeling and DAX.

Responsibilities

  • Assess workflows and prioritize automation opportunities using AI.
  • Integrate data from SharePoint, Azure DevOps, Excel, and databases into a governed single source of truth with automated refresh and data-quality checks.
  • Build and maintain 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 measurable impact such as hours saved and cycle-time reduction.
  • Maintain and troubleshoot existing Power BI dashboards to ensure reliability and usability for stakeholders.

Skills

Data engineering
Power BI
Generative AI
Azure DevOps
Excel
SQL
Python

Education

Bachelor's degree or equivalent experience

Tools

Power BI (DAX, Power Query)
SharePoint Online
REST APIs
Power Automate

Job description

Applications Dev & Test in Hillsboro, OR (Remote) is seeking an AI Data Engineer to join the SPARC_COGS_1010 team. You will automate manual workflows, build trusted data pipelines, and translate business needs into executive-ready dashboards and AI-enabled experiences.

The role requires a BS in a related field or equivalent, 4+ years in data engineering/BI, and 2+ years building production generative-AI solutions.

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