<p><strong>Job Title:</strong> Cloud Data Engineer</p><p><strong>Location:</strong> Remote (occasional travel to the Washington D.C. metro area may be required)</p><p><strong>Clearance Required:</strong> Public Trust</p><p><strong>Position Overview</strong></p><p>We are seeking a customer-focused <strong>Cloud Data Engineer</strong> to join a dynamic team of subject matter experts and developers. This role involves designing and implementing full lifecycle data pipeline services for Azure-based data lake, SQL, and NoSQL data stores. The ideal candidate will be mission-driven, delivery-oriented, and skilled in translating business requirements into scalable data engineering solutions.</p><p><strong>Key Responsibilities</strong></p><ul><li>Maintain and operate legacy ETL processes using Microsoft SSIS, PowerShell, SQL procedures, SSAS, and .NET.</li><li>Develop and manage full lifecycle Azure cloud-native data pipelines.</li><li>Collaborate with stakeholders to understand data requirements and deliver effective solutions.</li><li>Design and implement data models and pipelines for various data architectures including relational, dimensional, lakehouse (medallion), warehouse, and mart.</li><li>Utilize Azure services such as Data Factory, Synapse Pipelines, Apache Spark Notebooks, Python, and SQL.</li><li>Migrate existing SSIS ETL scripts to Azure Data Factory and Synapse Pipelines.</li><li>Prepare data for advanced analytics, visualization, reporting, and AI/ML applications.</li><li>Ensure data integrity, quality, metadata management, and security across pipelines.</li><li>Monitor and troubleshoot data issues to maintain performance and availability.</li><li>Implement governance, CI/CD, and monitoring for automated platform operations.</li><li>Participate in Agile DevOps processes and continuous learning initiatives.</li><li>Maintain strict versioning and configuration control.</li></ul>

<p><strong>Required Qualifications</strong></p><ul><li>Bachelor’s degree in Computer Science or related field with 8+ years of experience, or Master’s degree with 6+ years.</li><li>Minimum 4 years of experience in ETL development using Microsoft SSIS, SQL, SQL Agent, and scripting (PowerShell).</li><li>Proficiency in scripting languages such as SQL, T-SQL, Python, and PySpark.</li><li>Experience with Microsoft SQL Server and BI tools including SSIS, SSRS, SSAS (cubes).</li><li>Hands-on experience with Azure cloud services including Data Lake, Synapse, and Data Factory.</li><li>Strong understanding of data engineering principles and cloud-native architectures.</li></ul><p>•<strong>Preferred Skills</strong></p><ul><li>Experience with data lakehouse architecture and medallion design.</li><li>Familiarity with Agile methodologies and DevOps practices.</li><li>Knowledge of data governance and security best practices.</li></ul>

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