Data & Automation Engineer (Q Clearance)

ShorePoint, LLC is a fast-growing cybersecurity services firm focused on high-profile customers. They are seeking a Data & Automation Engineer to support document scanning, classification, and automation solutions within Microsoft 365 environments, utilizing tools like Python and PowerShell.

Responsibilities:

• Support development of Python-based tools for document scanning, extraction and processing
• Assist in automating workflows using PowerShell and Microsoft 365 services
• Work with SharePoint Online libraries, metadata and document structures
• Contribute to data migration activities from file shares to SharePoint Online
• Help implement and test document classification and records management processes
• Analyze file metadata and content to support categorization and compliance efforts
• Collaborate with senior engineers on integrating AI services (e.g., Azure OpenAI)
• Perform testing, validation and troubleshooting of automation pipelines
• Document scripts, processes and technical configurations

Requirements:

• 3+ years of relevant experience
• Bachelor's degree or Associate's degree plus two (2) years relevant experience OR High School Diploma/GED plus four (4) years relevant experience
• Experience with Python scripting
• Experience with PowerShell scripting
• Understanding of SharePoint Online and Microsoft 365 ecosystem
• Experience with data handling, file systems or data migration concepts
• Strong analytical and problem-solving skills
• Strong attention to detail and ability to work with large datasets
• Willingness to learn and grow in AI-enabled solutions
• Proven ability to analyze complex requirements and translate them into clear, actionable tasks and processes through critical thinking
• Applicants must hold and maintain an active DOE Q or equivalent DoD Top Secret clearance
• Industry recognized certifications
• Knowledge of records management or information governance concepts
• Exposure to Azure services or cloud-based tools
• Experience working with structured and unstructured data