Drimva

Accenture

ERM Records Management O365 SharePoint & Network Migration Engineer - TO37

$70K–$137K

Washington, DC +1 · Full-time · Posted Mar 16, 2026

Location
Washington, DC
Arlington, Virginia, United States
Experience
3–6 years working with Microsoft 365 technologies.
Education
Bachelor’s degree in Computer Science, Information Technology, or equivalent experience.
Visa sponsorship
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

About the job

Implements Microsoft 365 records-management, classification, migration, and automation solutions for federal enterprise modernization efforts.

What you'll do

  • Configure Microsoft Purview records policies, retention labels, file plans, and trainable classifiers.
  • Develop Python and PowerShell scripts for metadata processing, reporting, validation, and migration preparation.
  • Support SharePoint Online, Power Automate, and compliant content migration; collaborate with records stakeholders and document solutions.

What they ask for

  • Bachelor’s degree in Computer Science, Information Technology, or equivalent experience.
  • 3–6 years of experience working with Microsoft 365 technologies.
  • Experience with Microsoft Purview records management, Python and PowerShell scripting, Power Automate, and SharePoint Online.
  • Willingness to undergo Top-Secret Clearance investigation; US citizenship.

Nice to have

  • Experience implementing Microsoft Purview trainable classifiers or supporting federal records management initiatives.
  • Familiarity with ShareGate or similar migration tools; Microsoft 365, Compliance, or Security certifications.

Pay

$70,500 — $136,700 USD (base salary)

Tools

Microsoft Purview, Microsoft 365, Python, PowerShell, Microsoft Power Automate, Microsoft Forms, SharePoint Online, ShareGate

AI focus

Supports machine-learning-based records classification, including trainable classifiers and content classification models.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)