<p><strong>Robert Half is working with a client who is looking to hire a Data Engineer</strong> to support a growing enterprise data and analytics initiative. This individual will help build and modernize the data pipelines, integrations, and cloud-based data infrastructure used across the organization.</p><p>The ideal candidate has experience working with large datasets, modern cloud data platforms, and production-grade ETL/ELT pipelines. This role will work closely with Data Architects, Analytics Engineers, BI teams, and business stakeholders as the organization expands its enterprise data capabilities.</p><p>Responsibilities</p><ul><li>Design, build, and maintain scalable ETL/ELT data pipelines.</li><li>Integrate structured and unstructured data from multiple enterprise systems.</li><li>Develop and optimize data models used for analytics and reporting.</li><li>Build solutions within cloud data environments such as Azure, AWS, or GCP.</li><li>Monitor data pipelines for performance, reliability, and data quality.</li><li>Partner with analysts, architects, and application teams to understand data requirements.</li><li>Support the migration of legacy data workloads to modern cloud platforms.</li><li>Develop reusable frameworks and automation for data processing.</li></ul><p><br></p>
<p><strong>Robert Half is working with a client who is looking to hire a Data Architect</strong> to help define the architecture and technical direction of a major enterprise data modernization initiative.</p><p>This individual will be responsible for designing scalable data platforms, establishing enterprise data standards, and providing architectural guidance across engineering, analytics, reporting, and AI initiatives.</p><p>Responsibilities</p><ul><li>Design enterprise data architecture across cloud and on-premise environments.</li><li>Define architectural standards for data ingestion, storage, transformation, governance, and consumption.</li><li>Develop conceptual, logical, and physical data models.</li><li>Provide technical direction to Data Engineers and Analytics teams.</li><li>Evaluate technologies and recommend appropriate data platform solutions.</li><li>Design integrations across ERP, CRM, operational, and third-party systems.</li><li>Partner with security and governance teams to establish data controls.</li><li>Support cloud migration and data platform modernization projects.</li><li>Create architecture diagrams, roadmaps, and technical documentation.</li></ul><p><br></p>
<p><strong>Data Analyst I</strong></p><p><strong>Location: Hybrid, 4 days onsite / 1 day remote </strong></p><p><strong>Duration: Contract with potential for full-time conversion</strong></p><p><br></p><p>This entry-level Data Analyst opportunity is ideal for a highly curious, analytical, and proactive problem solver who enjoys identifying trends, investigating issues, improving processes, and driving operational efficiency. The role focuses on root cause analysis, process optimization, and collaborating with business partners to create sustainable operational improvements.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Identify trends, recurring issues, and opportunities for process improvement across operational workflows</li><li>Investigate root causes of issues and implement sustainable corrective actions</li><li>Analyze data from daily reports, closed tickets, and workflow activities to improve operational efficiency</li><li>Research, troubleshoot, and resolve complex or unfamiliar issues</li><li>Document findings, recommendations, process updates, and operational changes</li><li>Partner with stakeholders to streamline processes and eliminate unnecessary work</li><li>Monitor workflow performance and recommend enhancements to improve business outcomes</li><li>Support continuous improvement initiatives through data-driven analysis and problem-solving</li></ul>
<p>Robert Half is seeking experienced Data Center Engineers to support clients with infrastructure operations, troubleshooting, deployments, and ongoing data center reliability.</p><p>Responsibilities</p><ul><li>Support servers, storage, networking, and data center infrastructure</li><li>Troubleshoot complex hardware and infrastructure issues</li><li>Coordinate server and network deployments</li><li>Support capacity planning, hardware refreshes, and infrastructure upgrades</li><li>Develop and maintain technical documentation</li><li>Participate in incident response and root-cause analysis</li><li>Coordinate with network, systems, cloud, security, and facilities teams</li><li>Support change management and production maintenance activities</li></ul><p><br></p>
<p><strong>Robert Half is working with a client who is looking to hire a Machine Learning Engineer</strong> to help operationalize machine learning models as part of a growing enterprise AI program.</p><p>This role will sit between Data Science and Engineering and will focus on taking models from experimentation into reliable, scalable production environments.</p><p>Responsibilities</p><ul><li>Develop and deploy machine learning models into production.</li><li>Build reusable ML pipelines for training, testing, deployment, and monitoring.</li><li>Partner with Data Scientists to productionize predictive models.</li><li>Develop APIs and services that expose machine learning capabilities to enterprise applications.</li><li>Monitor model performance, drift, and reliability.</li><li>Build automated testing and deployment processes for ML workloads.</li><li>Optimize model performance and infrastructure utilization.</li><li>Work with Data Engineering teams to establish reliable training and inference datasets.</li></ul><p><br></p>
<p>Our client is seeking a Cloud Infrastructure Engineer to manage and optimize cloud environments while supporting scalability, security, and operational excellence. This position will play a key role in cloud modernization initiatives and infrastructure automation.</p><p>Responsibilities</p><ul><li>Design, deploy, and support Azure and/or AWS cloud infrastructure.</li><li>Manage cloud networking, security groups, identity solutions, and storage resources.</li><li>Implement infrastructure-as-code and automation solutions.</li><li>Monitor cloud performance, availability, and security posture.</li><li>Support cloud migrations and modernization projects.</li><li>Collaborate with DevOps, security, and application teams.</li><li>Troubleshoot production cloud environments and resolve incidents.</li><li>Maintain disaster recovery and business continuity strategies.</li></ul><p><br></p>
<p>Our client is seeking a highly technical and innovative AI Solutions Engineer to design, build, and maintain internal applications, automations, and AI-powered tools that improve operational efficiency across the organization. This is not a traditional product development role. Instead, this individual will focus on solving business challenges through custom software development, workflow automation, system integrations, and practical applications of artificial intelligence.</p><p>The ideal candidate thrives in fast-paced environments, enjoys transforming ambiguous business needs into working solutions, and is comfortable partnering with both technical and non-technical stakeholders. This position offers the opportunity to work on a wide variety of projects while leveraging modern software development practices, cloud technologies, and AI capabilities to drive operational excellence.</p><p>Key Responsibilities</p><ul><li>Design, develop, and support internal applications, dashboards, automation tools, and workflow solutions that enhance business operations.</li><li>Build and integrate AI and Large Language Model (LLM) capabilities into existing processes, including document analysis, classification, workflow routing, content generation, summarization, and reporting.</li><li>Develop and maintain integrations between internal systems and third-party platforms using APIs and web services.</li><li>Rapidly prototype new solutions, gather business feedback, and evolve prototypes into scalable, maintainable production applications.</li><li>Collaborate with cross-functional teams to identify process improvement opportunities and implement technology-driven solutions.</li><li>Ensure applications meet security, privacy, governance, and compliance requirements.</li><li>Create and maintain technical documentation, architecture diagrams, and operational procedures to ensure ongoing supportability and audit readiness.</li><li>Monitor, troubleshoot, and enhance deployed solutions to ensure reliability and performance.</li></ul><p><br></p>
<p>We are seeking a Systems Engineer to support and enhance enterprise infrastructure environments. This role is responsible for designing, implementing, maintaining, and optimizing server, virtualization, storage, and cloud technologies while ensuring high availability and performance across the organization.</p><p>Responsibilities</p><ul><li>Administer Windows Server environments, Active Directory, Group Policy, and DNS/DHCP.</li><li>Support VMware, Hyper-V, and virtualization infrastructure.</li><li>Manage enterprise storage, backups, and disaster recovery solutions.</li><li>Monitor system performance and proactively identify improvements.</li><li>Troubleshoot complex infrastructure and server-related issues.</li><li>Collaborate with networking, security, and application teams.</li><li>Assist with cloud infrastructure administration and migrations.</li><li>Develop and maintain infrastructure documentation and procedures.</li><li>Participate in patch management, upgrades, and system hardening efforts.</li></ul><p><br></p>
<p>Robert Half is currently hiring Data Center Technicians to support several of our clients with growing data center operations. We are looking for hands-on technical professionals who are comfortable working in fast-paced, mission-critical environments and supporting server, hardware, cabling, and infrastructure needs.</p><p><br></p><p>Responsibilities</p><ul><li>Install, rack, stack, and decommission servers and related hardware</li><li>Perform hardware swaps, break/fix support, and component replacement</li><li>Troubleshoot servers, network devices, and data center equipment</li><li>Assist with structured cabling, patching, labeling, and cable management</li><li>Perform basic connectivity and hardware testing</li><li>Follow documented procedures, change controls, and safety standards</li><li>Maintain accurate inventory and service documentation</li><li>Escalate hardware or infrastructure issues as needed</li></ul>
<p><strong>Robert Half is working with a client who is looking to hire a Data Governance Lead</strong> to establish and mature an enterprise-wide data governance program.</p><p><br></p><p>This individual will help define how critical organizational data is classified, owned, documented, protected, and managed. The position will work across technology, security, compliance, analytics, and business teams.</p><p><br></p><p>Responsibilities</p><ul><li>Develop and implement an enterprise data governance framework.</li><li>Establish data ownership, stewardship, and accountability models.</li><li>Define data quality standards and monitoring processes.</li><li>Develop policies around data classification, retention, access, and usage.</li><li>Build and maintain enterprise business glossaries and data catalogs.</li><li>Partner with business leaders to identify critical data elements.</li><li>Work with Security, Risk, Legal, and Compliance teams on data controls.</li><li>Establish governance processes for analytics and AI initiatives.</li><li>Lead data governance councils and stakeholder meetings.</li><li>Define governance KPIs and report program maturity to leadership.</li></ul><p><br></p>