<p>Data Automation Engineer – Azure / AI / Data Platforms</p><p>Clearance Requirement: ability to obtain Public Trust</p><p><br></p><p>Position Overview</p><p>We are seeking a highly motivated Data Automation Engineer to design and implement modern, AI‑driven data solutions within a Microsoft Azure-based analytics ecosystem. This role focuses on building scalable pipelines, automating workflows, and integrating advanced analytics and AI capabilities across enterprise data platforms.</p><p>The ideal candidate brings strong experience in Azure data services, ETL pipeline development, and automation, along with a delivery-focused mindset and the ability to translate complex business requirements into technical solutions. This role supports mission-critical environments and requires eligibility for a Public Trust clearance.</p><p><br></p><p>Key Responsibilities</p><p>Data Engineering &amp; Pipeline Development</p><ul><li>Design and implement data pipelines using Azure Data Factory, Synapse, Spark, SQL, and Python</li><li>Build and maintain ETL/ELT workflows across structured and unstructured data sources</li><li>Support data ingestion, transformation, and integration for enterprise analytics platforms</li></ul><p>Automation &amp; AI Integration</p><ul><li>Develop automation solutions to improve efficiency, scalability, and reliability of data workflows</li><li>Research and implement AI/ML and Generative AI tools to enhance data processing and insights</li><li>Eliminate bottlenecks through intelligent automation and workflow optimization</li></ul><p>Data Quality, Governance &amp; Performance</p><ul><li>Implement data quality, integrity, and metadata management practices</li><li>Monitor and troubleshoot pipelines to ensure high availability and performance</li><li>Perform performance testing, tuning (query optimization, indexing), and pipeline benchmarking</li></ul><p>Collaboration &amp; Delivery</p><ul><li>Partner with engineering, DevOps, and business stakeholders to develop solutions</li><li>Participate in Agile/DevOps processes and continuous delivery cycles</li><li>Document pipeline performance, test results, and system improvements</li></ul>

<p>Required Qualifications</p><ul><li>Bachelor’s degree in Computer Science or related field</li><li>2+ years of experience in data engineering, automation, or cloud development</li><li>Strong experience with SQL, Python, PySpark, or related scripting tools</li><li>Experience with Azure services (Data Factory, Synapse, Data Lake)</li><li>Experience building and maintaining ETL/data pipelines</li><li>Familiarity with Azure DevOps, GitHub, or CI/CD pipelines</li><li>Strong troubleshooting and performance optimization skills</li><li>ability to obtain Public Trust clearance</li></ul><p>•Preferred Qualifications</p><ul><li>Experience with Generative AI or AI-driven data automation</li><li>Microsoft Azure or data engineering certifications</li><li>Experience with Power BI, SSIS, SSRS, SSAS</li><li>Knowledge of data lineage, governance, and security frameworks</li><li>Experience with Infrastructure-as-Code (ARM, Bicep)</li><li>Exposure to performance tuning and advanced query optimization</li></ul><p>Additional Details</p><ul><li>Opportunity to work on mission-critical, enterprise-level data platforms</li><li>Strong focus on automation, scalability, and AI innovation</li><li>Ideal for candidates seeking federal/regulated environment experience</li></ul>

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