Role Description: We're hiring a Data Engineering Manager to lead our analytics engineering <br>team and own the strategy, architecture, and delivery of our data platform. You'll manage two <br>analysts, partner with software engineering on ETL/integration work, and make the technical <br>decisions that shape how the organization consumes data. Your priorities are speed, security, <br>and stability—in that order when they conflict. This role requires initiative and ownership. <br>You'll operate with significant autonomy—identifying problems, developing solutions, and <br>driving them to completion without waiting for direction. We need someone who stays close to <br>the work and leads by example.<br>Roles & Responsibilities:<br>• Manage and develop a team of two data analysts focused on reporting, dashboards, and <br>data modeling<br>• Own schema design, data modeling decisions, and warehouse architecture<br>• Optimize query performance, storage costs, and pipeline reliability<br>• Partner with engineering teams on data integration, ETL processes, and source system <br>changes<br>• Establish and enforce standards for data quality, access controls, and documentation<br>• Evaluate and implement tooling decisions across the data stack<br>• Translate business requirements into scalable, maintainable data solutions<br>• Integrate multiple systems with Salesforce Sales Cloud, including internal proprietary <br>and third-party applications and APIs<br>Qualifications:<br>• Bachelor’s Degree in Computer Science and Engineering or equivalent<br>• 5+ years of experience in data engineering, analytics engineering, or a related technical <br>role<br>• 2+ years of experience managing or technically leading a team<br>• Deep expertise with cloud data warehouse: Azure Data Warehouse or Snowflake<br>• Advanced SQL skills and solid understanding of data modeling patterns (star schema, <br>normalization tradeoffs, slowly changing dimensions)<br>• Hands-on experience with at least one BI platform (PowerBI, Tableau, or Looker)<br>• Experience with Salesforce data structures and reporting (SOQL, custom objects, record <br>relationships)<br>• Familiarity with ETL/ELT orchestration tools (Airflow, Azure Data Factory, Airbyte etc..)<br>• Background in data governance, PII handling, or compliance requirements<br>• Ability to understand and document business logic, not just technical implementation<br>• Clear communication skills—you'll interface with both engineers and business <br>stakeholder
<p>Robert Half Technology is hiring a <strong>Senior Automation Engineer</strong> to support an expanding enterprise SaaS platform. This is a hands-on, highly technical role where you’ll <strong>advance automation strategy and architecture</strong>, strengthen test coverage across the stack, and partner closely with Engineering, UI/UX, DevOps, and Product to embed quality throughout the SDLC. 🚀</p><p>If you thrive in agile teams, enjoy building scalable automation frameworks, and can deliver quickly while raising engineering standards, this role is for you. ✅</p><p><strong> </strong></p><p>Responsibilities</p><ul><li>Own and evolve automation capabilities across business-critical testing processes (UI, API, integration, back-end, performance).</li><li>Design, develop, and execute automated tests across all layers of the stack:</li><li><strong>UI automation:</strong> Selenium</li><li><strong>API testing:</strong> Rest Assured (or equivalent)</li><li><strong>Data validation & test data creation:</strong> SQL</li><li>Serve as a full-stack Senior Automation Engineer in agile teams using <strong>Selenium + Maven in IntelliJ</strong>, applying strong <strong>Java/OOP</strong> design patterns and coding standards.</li><li>Build and maintain automation for functional, integration, API, and back-end tests (including file upload/download, email parsing, multi-browser, and security validations).</li><li>Develop advanced SQL queries to validate data integrity and generate automated test data.</li><li>Support containerized test execution: build/maintain frameworks within <strong>Docker</strong> and partner with DevOps on scalable environments.</li><li>Implement and execute performance/load testing frameworks; analyze results and communicate quality insights.</li><li>Contribute to unit test strategies; collaborate with developers to increase application-level test coverage.</li><li>Establish/enforce coding standards and conduct code reviews for QA automation initiatives.</li><li>Mentor automation engineers and promote best practices across the QA organization.</li><li>Troubleshoot and resolve blockers from automated regression suites; improve suite stability and reliability.</li><li>Participate in defect management, bug triage, backlog grooming, and sprint ceremonies; provide actionable QA feedback during design/build phases.</li><li>Support QA leadership with metrics, reporting, and trend analysis to measure automation effectiveness and product quality. 📈</li></ul><p><br></p>
<p>We are looking for a <strong>Systems Engineer</strong> with strong experience in <strong>MECM (Microsoft Endpoint Configuration Manager)</strong> and <strong>SCOM (System Center Operations Manager)</strong> to stand up a localized testing environment.</p><p><br></p><p>The Systems Engineer will architect, deploy, and validate a sandbox environment for application lifecycle management. Key responsibilities include:</p><ul><li>Infrastructure Architecture: Build a multi-server virtual environment (Windows Server 2025, SQL Server 2022, System Center site servers).</li><li>MECM Deployment: Install and configure MECM Primary Sites, Boundaries, Boundary Groups, and Client Settings.</li><li>Application Packaging: Create automated workflows for .MSI deployments and post-install configurations.</li><li>SCOM Authoring: Configure Management Groups and author custom alert rules for Windows Event Viewer.</li><li>DevOps Integration: Ensure centralized log monitoring and alerting thresholds.</li><li>System Hardening: Isolate the test environment while maintaining realistic directory services.</li></ul><p><br></p>
