<p><strong>Senior Cloud Security Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A global firm based in Los Angeles, California is seeking a Senior Cloud Security Engineer to strengthen its cybersecurity program across cloud, data, endpoint, identity, and enterprise environments. This is an opportunity to join a collaborative technology organization where security, risk management, and operational excellence are critical to the business.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Senior Cloud Security Engineer will be a hands-on member of the Information Security team responsible for securing cloud infrastructure, enterprise data platforms, endpoints, identities, and business-critical systems. This role has a particular emphasis on Microsoft Azure security and will partner closely with data engineering and technology teams to secure modern cloud-based data environments. The ideal candidate combines strong cloud security architecture and engineering expertise with practical experience across security operations, incident response, vulnerability management, data protection, and risk management.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Serve as a security engineering resource for Microsoft Azure architecture, integrations, network security, identity, access controls, secrets management, and cloud security posture.</li><li>Partner with data engineering teams to secure cloud-based data and analytics platforms through appropriate authentication, encryption, network controls, logging, and secrets management.</li><li>Review security configurations and architecture for new cloud, application, and data platform integrations prior to production deployment.</li><li>Monitor, investigate, and respond to security events involving cloud, endpoint, email, identity, data protection, and enterprise systems.</li><li>Lead vulnerability identification, prioritization, remediation tracking, patch management, and cloud security configuration improvements.</li><li>Support identity security initiatives including Microsoft Entra ID, conditional access, managed identities, least privilege, and identity governance.</li><li>Develop and enhance cloud security monitoring, alerting, data protection, and incident response capabilities.</li><li>Apply Infrastructure-as-Code practices to help automate, standardize, and enforce secure cloud configurations.</li><li>Conduct security assessments and collaborate with technology vendors and managed security providers to identify and remediate risk.</li><li>Support governance, risk, compliance, audit, business continuity, and disaster recovery activities across the organization.</li></ul><p><strong>Additional Details</strong></p><ul><li>3 days onsite, 2 days remote</li><li>Hands-on security engineering role spanning cloud infrastructure, data platforms, security operations, and enterprise security</li><li>Close collaboration with data engineering, IT, technology vendors, and managed security providers</li><li>Opportunity to work across a broad cybersecurity technology stack within a highly regulated environment</li><li>Candidates must be authorized to work in the United States</li></ul>
<p>Robert Half is seeking an experienced IT Analyst to support approximately 300 employees across seven locations in an all-Windows environment consisting of roughly 350 computers. This is a hands-on, support-focused role with a strong emphasis on Microsoft Intune, endpoint management, desktop support, and help desk operations.</p><p><br></p><ul><li>Provision, configure, and deploy Windows desktops and computers using Microsoft Intune.</li><li>Package, configure, test, and deploy applications through Intune.</li><li>Create, configure, and maintain Intune device policies and endpoint management settings.</li><li>Deploy and manage printers across user devices through Intune.</li><li>Administer mobile device management (MDM), including device enrollment, configuration, and policy enforcement.</li><li>Troubleshoot hardware, software, operating system, application, and endpoint-related issues.</li><li>Respond to service tickets, prioritize requests, and work efficiently to reduce an existing backlog of 100+ tickets.</li></ul><p><br></p>
We are looking for a Data Analyst to support reporting, audience targeting, and data-driven decision-making for a manufacturing organization in Diamond Bar, California. This Long-term Contract position partners closely with business stakeholders to translate operational goals into meaningful reports, reliable datasets, and actionable audience lists. The ideal candidate brings strong analytical skills, hands-on experience with SQL and Excel, and the ability to communicate clearly while maintaining high standards for data accuracy.<br><br>Responsibilities:<br>• Partner with business teams to gather reporting needs, clarify audience outreach objectives, and turn those needs into practical data solutions.<br>• Develop and refine reports, datasets, and audience lists that help stakeholders measure performance and support business priorities.<br>• Write and troubleshoot SQL queries across multiple tables, using joins and backend reporting techniques to extract accurate information.<br>• Pull, validate, and organize data from platforms such as Salesforce and marketing-related systems to support analysis and campaign targeting.<br>• Perform data validation checks and investigate quality issues to improve confidence in reporting outputs and audience segmentation.<br>• Use advanced Excel functions, including PivotTables and lookup formulas, to analyze trends, reconcile data, and present findings clearly.<br>• Build targeted audience segments and list selections based on defined business rules, data attributes, and outreach requirements.<br>• Communicate proactively with cross-functional partners to provide status updates, resolve issues quickly, and ensure deliverables align with expectations.
<p>We are looking for a detail-oriented Data Analyst to support operations in Irvine, California through accurate data management and insightful reporting. This Long-term Contract position focuses on maintaining data quality, producing timely analyses, and helping stakeholders review financial and operational information with confidence. The role is well suited for someone who is comfortable working with large datasets, identifying irregular patterns, and using Power BI to turn information into clear business insight.</p><p><br></p><p>Responsibilities:</p><p>• Maintain and update datasets to ensure records remain complete, accurate, and ready for reporting needs.</p><p>• Prepare ad hoc analyses and recurring reports that help teams monitor business performance and respond to emerging questions.</p><p>• Review financial information for consistency, highlight unusual findings, and support follow-up analysis when discrepancies appear.</p><p>• Build and refine Power BI dashboards and visual reports that present trends, exceptions, and key metrics in a clear format.</p><p>• Examine transactional and operational data to detect suspicious activity and contribute to fraud-related analysis efforts.</p><p>• Support investigations by organizing relevant data, validating source information, and summarizing findings for internal stakeholders.</p><p>• Perform routine data quality checks and resolve inconsistencies to improve reliability across reporting outputs.</p>
<p>Lead Data Engineer</p><p>Salary: Up to $160,000 Location:</p><p>On-Site | South Los Angeles Area</p><p>Employment Type: Full-Time</p><p><br></p><p>Build the Foundation for Enterprise Analytics</p><p><br></p><p>We are seeking a Lead Data Engineer to drive the architecture, modernization, and expansion of a growing enterprise data platform built within the Microsoft Azure ecosystem. This is a highly visible technical leadership role where you'll help shape the future of data across multiple business functions by building scalable, secure, and high-performing data solutions.</p><p><br></p><p>If you're passionate about Databricks, cloud data platforms, and mentoring engineering teams while remaining hands-on with development, this is an opportunity to make a significant impact.</p><p><br></p><p>What You'll Do</p><ul><li>Lead the design, implementation, and optimization of an enterprise Azure Databricks Lakehouse environment utilizing Bronze, Silver, and Gold data layers.</li><li>Architect and execute migrations from SQL Server and legacy platforms into modern cloud-native data solutions.</li><li>Develop and optimize large-scale ETL/ELT pipelines supporting operational reporting, business intelligence, advanced analytics, and data science initiatives.</li><li>Integrate data from multiple enterprise systems, APIs, operational platforms, and third-party sources.</li><li>Establish best practices for data engineering, data modeling, testing, CI/CD, monitoring, governance, and production support.</li><li>Implement and maintain data governance frameworks, security controls, lineage tracking, and access management.</li><li>Lead code reviews, technical design discussions, and engineering standards across the data team.</li><li>Mentor and support data engineers while fostering a culture of technical excellence.</li><li>Partner closely with business stakeholders, analysts, and data scientists to deliver trusted, scalable data products.</li></ul><p>For immediate consideration, apply now and direct message Reid Gormly on LINKEDIN</p>
<p>We are looking for a Data Engineer to build and enhance reporting and data solutions that help teams make informed business decisions across the organization. This role partners with groups such as asset management, acquisitions, accounting, and HR to translate business needs into scalable dashboards, reliable data pipelines, and actionable insights. Based in Los Angeles, California, the position is ideal for someone who combines strong technical depth with the ability to explain findings clearly to a range of stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Create and refine dashboards, reports, and automated data outputs using tools such as Python, Excel, and Power BI to support operational and strategic reporting needs.</p><p>• Examine large and varied datasets to uncover meaningful trends, performance indicators, and opportunities for improvement.</p><p>• Guide and support entry-level BI team members by reviewing work, sharing best practices, and contributing to their career growth.</p><p>• Partner with stakeholders across multiple business functions to define reporting goals, gather technical requirements, and deliver effective data solutions.</p><p>• Translate technical concepts and analytical results into clear recommendations for non-technical audiences.</p><p>• Contribute to cross-department initiatives that improve data availability, reporting consistency, and overall usability of business information.</p><p>• Develop and maintain queries, procedures, and data workflows to support extraction, transformation, and loading activities across reporting environments.</p><p>• Monitor data quality through validation checks, issue resolution, and routine audits to maintain accuracy and reliability.</p><p>• Administer BI platforms with attention to performance, access control, and system stability while assisting users with adoption and training.</p><p><br></p><p>For immediate consideration, apply now and direct message Reid Gormly on LinkedIn</p>
We are looking for a Data Engineer to join a team in Santa Monica, California on a Long-term Contract assignment. This position focuses on building dependable data solutions that connect multiple sources, support reporting needs, and improve access to trusted business information. The role offers a blend of pipeline development, dashboard ownership, data quality work, and cross-functional collaboration with partner teams.<br><br>Responsibilities:<br>• Design, validate, and release data pipelines that bring together information from varied source systems within an existing ingestion environment.<br>• Create and support connections to external platforms, APIs, and vendor tools so data remains current, consistent, and available for analysis.<br>• Oversee daily pipeline health, investigate processing issues, and partner with senior engineers to address failures and improve reliability.<br>• Develop and maintain roughly 10 business intelligence dashboards used by 2 to 3 stakeholder groups, keeping reporting useful and aligned with team needs.<br>• Improve dashboard quality by reviewing accuracy, optimizing performance, enhancing usability, and retiring reports that no longer provide value.<br>• Write and maintain data validation checks, including tests at the source level to strengthen data quality and reduce downstream issues.<br>• Support data modeling and transformation efforts using dbt to prepare clean, well-structured datasets for analytics and reporting.<br>• Handle ad hoc data requests submitted through an intake process, providing timely answers to business questions with clear supporting analysis.<br>• Produce and update documentation for pipelines, reporting assets, and operational workflows to promote maintainability and knowledge sharing.<br>• Take part in peer code review by submitting thoughtful feedback and incorporating suggestions to maintain strong engineering standards.