<p>Robert Half is working with a leading organization that is seeking an experienced In-House Counsel to join their legal department. This role offers the opportunity to play a key part in advising business leaders and ensuring compliance within a dynamic corporate environment.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Provide legal advice and guidance on a wide range of corporate, commercial, and regulatory matters.</li><li>Draft, review, and negotiate contracts, agreements, and other legal documents.</li><li>Advise internal stakeholders on legal risks and compliance requirements.</li><li>Support mergers, acquisitions, and other business transactions.</li><li>Conduct legal research and stay abreast of relevant laws and regulations affecting the business.</li><li>Manage relationships with external counsel as needed.</li><li>Assist with dispute resolution and litigation management.</li></ul>
<p>We are seeking a highly skilled Senior Data Engineer with AI / ML desires to design, build, and scale next-generation data and machine learning infrastructure. This role is ideal for a hands-on technical expert who thrives in building complex systems from the ground up, has deep experience in Google Cloud Platform (GCP), and is excited about stepping into management and technical leadership. You will work across engineering, data science, and executive leadership teams to architect cloud-native solutions, optimize real-time data pipelines, and help shape our long-term AI/ML engineering strategy.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><strong>Cloud & Platform Engineering</strong></p><ul><li>Architect, build, and maintain high-performance data and ML infrastructure on GCP using best-in-class cloud-native tools and services.</li><li>Lead the design of scalable cloud architectures, with a strong focus on resilience, automation, and cost-effective operation.</li><li>Build applications and services from scratch, ensuring they are modular, maintainable, and scalable.</li></ul><p><strong>Real-Time & Distributed Systems</strong></p><ul><li>Design and optimize real-time data processing pipelines capable of handling high-volume, low-latency traffic.</li><li>Implement and fine-tune load balancing strategies to support fault tolerance and performance across distributed systems.</li><li>Lead system design for high availability, horizontal scaling, and microservices communication patterns.</li></ul><p><strong>AI/ML Engineering</strong></p><ul><li>Partner with ML engineers and data scientists to deploy, monitor, and scale machine learning workflows.</li><li>Create and maintain ML-focused CI/CD pipelines, model deployment frameworks, and automated testing harnesses.</li></ul><p><strong>Open-Source & Code Quality</strong></p><ul><li>Contribute to and maintain open-source projects, including active GitHub repositories.</li><li>Champion best practices across code reviews, version control, and documentation.</li><li>Establish, document, and enforce advanced testing methodologies, including integration, regression, performance, and automated testing frameworks.</li></ul><p><strong>Leadership & Collaboration</strong></p><ul><li>Serve as a technical leader and mentor within the engineering team.</li><li>Collaborate effectively with senior leadership and executive stakeholders, translating complex engineering concepts into strategic insights.</li><li>Provide guidance and direction to junior engineers, with an eye toward growing into a people leadership role.</li></ul>
We are looking for a Database Analyst to join our team in Mesquite, Texas. In this contract role, you will play a pivotal part in a data unification initiative for a manufacturing client. The position involves cleansing, standardizing, and consolidating data across various systems to support accurate reporting and prepare for advanced analytics solutions.<br><br>Responsibilities:<br>• Conduct comprehensive analysis of fragmented datasets to identify inconsistencies and discrepancies across multiple systems.<br>• Implement data cleansing and standardization processes for vendor IDs, product IDs, customer IDs, and other critical data points.<br>• Develop robust frameworks, including naming conventions and tagging mechanisms, to ensure seamless integration of legacy data into unified structures.<br>• Utilize tools such as SeeDataSync to manage data extraction, transformation, and migration while maintaining integrity.<br>• Collaborate with internal teams and stakeholders to align data unification efforts with organizational goals.<br>• Prepare datasets to serve as the foundation for implementing advanced reporting infrastructures like Data Cubes.<br>• Address gaps and redundancies in reporting structures to enable actionable insights.<br>• Document processes and provide regular updates to stakeholders to ensure transparency and alignment.<br>• Partner with IT and business systems teams to understand requirements and optimize data workflows.<br>• Ensure consistency and usability of consolidated data for future analytics initiatives.
