<p>Robert Half, one of FORTUNE's World's Most Admired Companies and a Fortune 100 Best Companies to Work For, is seeking a <strong>QA Automation Engineer IV </strong>to join our ATI Salesforce Competency Center. This is a highly visible, architect-level role focused on driving automation strategy, modernizing test frameworks, and enabling quality across enterprise Salesforce initiatives.</p><p><br></p><p>If you enjoy solving complex quality challenges, mentoring engineers, building scalable automation solutions, and working with emerging AI technologies, we'd love to hear from you.</p><p><br></p><p><strong>What You'll Do</strong></p><p>Design, develop, and maintain automated testing solutions for Salesforce applications, APIs, integrations, and enterprise business processes.</p><p>Lead automation strategy across multiple Agile teams, supporting 5-6 Scrum teams simultaneously.</p><p>Build scalable, reusable automation frameworks using <strong>Robot Framework, Selenium, Python</strong>, and related technologies.</p><p>Conduct proof-of-concepts, framework evaluations, and automation architecture reviews.</p><p>Perform code reviews and establish automation best practices across teams.</p><p>Develop automated tests for UI, API, integration, regression, and end-to-end scenarios.</p><p>Create and manage automated test data strategies across Salesforce and integrated platforms.</p><p>Validate Salesforce Lightning applications, workflows, APIs, and MuleSoft integrations.</p><p>Collaborate with developers and product teams to identify automation opportunities early in the development lifecycle.</p><p>Leverage AI-powered testing tools and generative AI solutions to improve test creation, maintenance, execution efficiency, and defect analysis.</p><p>Mentor and train engineers on automation frameworks, quality engineering practices, and emerging technologies.</p>
We are looking for an experienced Data Engineer to strengthen and scale an enterprise data environment in California. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building reliable cloud-based data solutions, shaping reporting-ready datasets, and connecting information from diverse business platforms. The role offers meaningful ownership across data modeling, pipeline development, and analytics enablement while working closely with stakeholders in a collaborative setting.<br><br>Responsibilities:<br>• Create and refine scalable data structures that support reporting, analytics, and long-term platform growth.<br>• Develop and maintain curated datasets that are dependable, well-organized, and ready for business intelligence use.<br>• Connect data from multiple enterprise applications and align it into a consistent, usable format.<br>• Build and manage mappings, reference relationships, and cross-system data associations to improve data consistency.<br>• Enhance existing ingestion and transformation workflows to support expanding business and analytics needs.<br>• Strengthen platform stability through better monitoring, testing practices, and operational improvements.<br>• Tune and optimize data processing performance while contributing to ongoing platform enhancements.<br>• Produce clear documentation for lineage, transformation rules, and support procedures to improve maintainability.<br>• Collaborate with business partners to deliver high-confidence data assets that support reporting and decision-making.<br>• Help establish engineering standards, documentation practices, and technical guidelines across the data platform.