<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>
<p>Financial Analyst</p><p>The Woodlands, TX (Fully In-Office)</p><p>Our client, a growing regional organization with operations across multiple states, is seeking a Financial Analyst for an immediate opportunity. This is a newly created position driven by company growth and offers significant visibility throughout the organization.</p><p>The Financial Analyst will partner closely with Accounting, Finance, Operational, Supply Chain, and Logistics leadership to analyze business performance, develop meaningful reporting, and identify opportunities for operational improvement. This role is ideal for a data-driven professional who enjoys working with large datasets, building impactful dashboards, and supporting strategic decision-making.</p><p>Key Responsibilities</p><ul><li>Analyze operational and financial data to identify trends, opportunities, and key performance indicators (KPIs).</li><li>Develop, maintain, and enhance complex reporting and dashboards utilizing Power BI.</li><li>Partner with Accounting, Finance, Operations, Supply Chain, and Logistics teams to provide actionable insights that drive business performance.</li><li>Monitor and analyze capital expenditures (CapEx) and operational expenditures (OpEx).</li><li>Support the purchase, movement, tracking, and analysis of physical goods across multiple locations.</li><li>Perform supply chain and logistics analysis to identify inefficiencies, optimize processes, and improve operational performance.</li><li>Analyze inventory movement, utilization trends, transportation metrics, and distribution-related data to support business objectives.</li><li>Assist leadership with forecasting, budgeting, performance analysis, and operational reporting.</li><li>Create and automate reporting processes to improve efficiency and decision-making.</li><li>Present findings and recommendations to various levels of management.</li></ul><p><br></p>