<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 & 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 & 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 & 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 & 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>
We are looking for a Business Intelligence (BI) Engineer to design and enhance reporting solutions that turn complex operational and commercial data into clear business insights. Based in The Woodlands, Texas, this role supports decision-making across the organization by building scalable dashboards, improving data visibility, and translating stakeholder needs into effective analytics products. The ideal candidate combines strong Power BI expertise with a practical understanding of business intelligence architecture, data modeling, and performance optimization.<br><br>Responsibilities:<br>• Build and maintain interactive Power BI dashboards and reports that provide timely, meaningful visibility into key business metrics.<br>• Partner with business teams to gather reporting needs, define success measures, and convert requirements into well-structured analytics solutions.<br>• Develop robust data models and DAX calculations that improve reporting accuracy, usability, and analytical depth.<br>• Optimize BI assets for performance, reliability, and ease of use across a range of audiences and business functions.<br>• Work with data from multiple systems to create consistent, trusted datasets that support enterprise reporting.<br>• Troubleshoot reporting issues, validate data outputs, and resolve discrepancies to maintain confidence in delivered insights.<br>• Document report logic, data definitions, and development standards to support long-term scalability and knowledge sharing.<br>• Contribute to enhancements involving business intelligence platforms or reporting processes when operational changes require updated analytics support.