[Hiring] Client-Facing Data Extraction Engineer @VSG Business Solutions

Role Description

In this role, you will work directly with IT administrators and business stakeholders at client organizations to securely extract data from enterprise platforms such as Microsoft 365, Google Workspace, Salesforce, and Slack. You will manage extraction activities, troubleshoot technical challenges, validate data completeness, and ensure secure delivery directly to the client's cloud environment. This position requires strong technical expertise, excellent communication skills, and the ability to independently manage multiple client engagements.

• Assess client environments and identify in-scope systems, data sources, and extraction requirements.
• Perform data exports from Microsoft 365, Google Workspace, Salesforce, Slack, and other enterprise SaaS platforms.
• Lead screen-sharing sessions and guide client IT administrators through data export procedures.
• Manage multiple extraction activities simultaneously and switch to approved alternative methods when required.
• Troubleshoot authentication and access issues involving SSO, OAuth, service accounts, API keys, and IAM roles.
• Diagnose and resolve extraction failures, API rate limits, timeouts, and data format issues.
• Develop and execute Python, PowerShell, or Bash scripts for data extraction, processing, and validation.
• Transfer extracted data directly to the client's designated cloud environment, ensuring no unauthorized local storage or duplication.
• Validate data completeness using record counts, file counts, checksums, and reconciliation procedures.
• Follow security best practices, including least-privilege access, secure credential handling, and audit logging.
• Coordinate with client IT teams and business stakeholders from project kickoff through final handover.
• Provide daily progress updates through Slack and proactively communicate risks, issues, and dependencies.
• Maintain extraction logs, technical documentation, and shared operational runbooks.
• Ensure temporary access and permissions are revoked upon engagement completion.

Qualifications

• 5+ years of professional experience in Systems Engineering, Cloud Engineering, DevOps, IT Infrastructure, Data Engineering, or client-facing technical engineering roles.
• Excellent verbal and written English communication skills, with the ability to interact professionally with US-based clients.
• Hands-on administrative-level data export experience with at least two of the following platforms:
  • Microsoft 365
  • Google Workspace
  • Salesforce
  • Slack
• Strong understanding of REST APIs and SaaS administration consoles.
• Practical experience with authentication and access management, including SSO, OAuth, IAM, service accounts, and role-based permissions.
• Strong Python scripting skills, along with working knowledge of PowerShell or Bash.
• Hands-on experience with at least one major cloud platform:
  • Amazon Web Services (AWS)
  • Microsoft Azure
  • Google Cloud Platform (GCP)
• Experience handling secure data transfers, including large-volume datasets.
• Ability to validate data integrity through record reconciliation, file counts, checksums, and audit logs.
• Strong understanding of security practices, including least-privilege access, credential protection, and secure data handling.
• Excellent troubleshooting and root-cause analysis skills.
• Ability to independently manage multiple engagements, meet deadlines, and escalate blockers proactively.
• Strong client communication, stakeholder management, and problem-solving abilities.
• Must be legally authorized to work in the United States.

Preferred Qualifications

• Experience extracting data from Jira, GitHub, HubSpot, QuickBooks, Zoom, Stripe, NetSuite, Workday, Notion, or ServiceNow.
• Experience working with relational databases, including Oracle, and writing SQL queries.
• Exposure to eDiscovery, compliance exports, records management, data archiving, or data migration projects.
• Familiarity with security and compliance frameworks such as SOC 2, HIPAA, and GDPR.
• Relevant AWS, Azure, or Google Cloud certifications.
• Previous experience working directly with enterprise clients in consulting, implementation, or solutions engineering environments.