Senior Data Engineer

<div class="content-intro"><p>M9 Solutions is dedicated to providing IT services and solutions to the Federal Government by mobilizing the right people, skills, clearance levels, and technologies to help organizations that desire improved performance and modern, sustainable change. M9 has provided quality IT services and support to more than 30 Federal Agencies and multiple commercial customers nationwide. Our capabilities include IT Talent Solutions, Data Delivery & Analytics, Cyber Security, Cloud Migration, Applications and Infrastructure, Software Development, and Finance & Accounting.</p> <p> </p></div><p>M9 Solutions is seeking a <strong>Senior Data Engineer </strong>to work <strong>remotely</strong> in support of a government contract for a client located in <strong>Washington, DC</strong>. An <strong>active</strong> <strong>Public Trust clearance</strong> is required.</p> <p><strong>Responsibilities</strong></p> <ul> <li>Lead workspace architecture, Unity Catalog governance, and cluster policy design for client tenant organizations.</li> <li>Perform tenant discovery and requirements gathering, source profiling, and security classification for new data intake requests.</li> <li>Develop end-to-end technical designs for tenant onboarding, including Data Sharing Agreements and SLA documentation.</li> <li>Maintain Requirements Traceability Matrix (RTM) and prepare Architecture Review Board (ARB) submissions.</li> <li>Contribute to tenant onboarding automation, financial operations integration, and ROI reporting.</li> <li>Deliver tenant training materials and facilitate weekly office hours for client program teams.</li> <li>Support P1/P2 incident response within SLA for tenant-related platform issues.</li> <li>Provide NIST 800-53 control evidence within 5 business days of the client audit requests.</li> </ul> <p><strong>Required Skills and Qualifications</strong></p> <ul> <li>Work Authorization: US Citizenship or Permanent Residency.</li> <li>Active Public Trust level clearance.</li> <li>Bachelor's degree in Computer Science, Information Technology, or related field.</li> <li>8+ years in cloud data engineering; 3-5 years hands-on Databricks (Unity Catalog, Delta Live Tables, Auto Loader, Genie).</li> <li>Databricks Certified Data Engineer Professional or advanced equivalent.</li> <li>AWS Certified Solutions Architect or Data Engineer – Associate or Professional.</li> <li>Deep experience with medallion architecture (Bronze/Silver/Gold), Delta Lake, and CDC patterns.</li> <li>Proficiency in Python, PySpark, and SQL for