<p><strong>Data Pipeline Development & Integration</strong></p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.</li><li>Develop automated data integration solutions supporting enterprise applications, analytics, and reporting.</li><li>Integrate structured and semi-structured data from APIs, relational databases, cloud platforms, and third-party systems.</li><li>Develop batch and real-time data processing solutions.</li><li>Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.</li></ul><p><strong>Data Warehousing & Architecture</strong></p><ul><li>Design and optimize enterprise data warehouses, data lakes, and lakehouse architectures.</li><li>Develop efficient data models, schemas, and transformations to support business intelligence and analytics.</li><li>Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.</li><li>Optimize SQL queries, database performance, and data processing workloads.</li><li>Implement data partitioning, indexing, and storage optimization strategies.</li></ul><p><strong>Data Quality & Governance</strong></p><ul><li>Develop automated data validation, monitoring, and quality assurance processes.</li><li>Ensure data accuracy, consistency, reliability, and availability across enterprise systems.</li><li>Implement data governance standards, access controls, and security best practices.</li><li>Maintain documentation for data pipelines, architecture, and transformation logic.</li><li>Support compliance with organizational data privacy and security requirements.</li></ul><p><strong>Cloud Engineering & Automation</strong></p><ul><li>Develop and maintain cloud-native data pipelines and processing workflows.</li><li>Utilize orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.</li><li>Implement CI/CD practices for data engineering workflows.</li><li>Automate data processing, monitoring, and infrastructure deployment.</li><li>Collaborate with DevOps and infrastructure teams to improve scalability and reliability.</li></ul><p><strong>Analytics & AI Support</strong></p><ul><li>Partner with business intelligence and analytics teams to deliver reliable datasets for reporting and dashboards.</li><li>Develop curated data models supporting Power BI, Tableau, and other visualization platforms.</li><li>Build data pipelines supporting machine learning, predictive analytics, and AI applications.</li><li>Collaborate with AI engineers and data scientists to prepare, transform, and deliver data for model development and production applications.</li><li>Identify opportunities to improve business processes through better data integration and automation.</li></ul><p><br></p><p><br></p>
<p><strong>Data Pipeline Development & Integration</strong></p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.</li><li>Develop automated data integration solutions supporting enterprise applications, analytics, and reporting.</li><li>Integrate structured and semi-structured data from APIs, relational databases, cloud platforms, and third-party systems.</li><li>Develop batch and real-time data processing solutions.</li><li>Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.</li></ul><p><strong>Data Warehousing & Architecture</strong></p><ul><li>Design and optimize enterprise data warehouses, data lakes, and lakehouse architectures.</li><li>Develop efficient data models, schemas, and transformations to support business intelligence and analytics.</li><li>Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.</li><li>Optimize SQL queries, database performance, and data processing workloads.</li><li>Implement data partitioning, indexing, and storage optimization strategies.</li></ul><p><strong>Data Quality & Governance</strong></p><ul><li>Develop automated data validation, monitoring, and quality assurance processes.</li><li>Ensure data accuracy, consistency, reliability, and availability across enterprise systems.</li><li>Implement data governance standards, access controls, and security best practices.</li><li>Maintain documentation for data pipelines, architecture, and transformation logic.</li><li>Support compliance with organizational data privacy and security requirements.</li></ul><p><strong>Cloud Engineering & Automation</strong></p><ul><li>Develop and maintain cloud-native data pipelines and processing workflows.</li><li>Utilize orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.</li><li>Implement CI/CD practices for data engineering workflows.</li><li>Automate data processing, monitoring, and infrastructure deployment.</li><li>Collaborate with DevOps and infrastructure teams to improve scalability and reliability.</li></ul><p><strong>Analytics & AI Support</strong></p><ul><li>Partner with business intelligence and analytics teams to deliver reliable datasets for reporting and dashboards.</li><li>Develop curated data models supporting Power BI, Tableau, and other visualization platforms.</li><li>Build data pipelines supporting machine learning, predictive analytics, and AI applications.</li><li>Collaborate with AI engineers and data scientists to prepare, transform, and deliver data for model development and production applications.</li><li>Identify opportunities to improve business processes through better data integration and automation.</li></ul><p><br></p><p><br></p>
<p>We are looking for an IT Field Technician to support device rollout across multiple locations in the Greater Philadelphia Region. This role focuses on preparing, configuring, and distributing a range of hardware while helping maintain a smooth deployment experience across the organization. The ideal candidate is comfortable working with multiple operating environments, providing clear progress updates, and resolving technical issues tied to network devices and PCs. </p><p>Responsibilities:</p><p>• Configure, stage, and deploy security systems, network devices and laptops</p><p>• Perform device imaging, software installation, and account setup to ensure equipment is ready for immediate business use.</p><p>• Coordinate with internal teams to manage user provisioning and access through Active Directory.</p><p>• Install and validate required business and medical software on assigned devices, confirming proper functionality before release.</p><p>• Track deployment progress and communicate timely status updates to stakeholders, team members, and project leads.</p><p>• Use established deployment tools to streamline setup, configuration, and asset readiness processes.</p><p>• Document deployment activities, issue resolutions, and inventory details to maintain accurate project records.</p>
<p>We are seeking an experienced <strong>AI Engineer</strong> with a strong background in full-stack software development, C#/.NET programming, and Microsoft Azure to design, develop, and implement AI-driven applications and solutions. This role will focus on integrating Generative AI technologies into scalable, enterprise-level applications while leveraging modern cloud technologies and software engineering best practices. The ideal candidate is a hands-on developer who can build end-to-end solutions, integrate AI capabilities into existing systems, and contribute to the development of innovative, AI-powered applications.</p>
<p><strong>Machine Learning Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>Based in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. </p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>
<p>Robert Half is partnering with a company in Wisconsin to help them hire an experienced Software Support Engineer. In this role you're responsible for supporting, maintaining, and improving the company's business and technical software applications. This role focuses on application administration, troubleshooting, user support, and developing tools and integrations that improve system functionality and reduce manual processes.</p><p><br></p><p>The position will support a variety of applications, including CAD/PDM software, ERP systems, and internal business applications. Working with IT, internal users, software vendors, and the MRP/ERP Solutions Consultant, this person will help resolve application issues, maintain system integrations, improve data accuracy, and identify opportunities to make software and business processes more efficient.</p><p><br></p><p>Principal Responsibilities</p><ul><li>Administer and support company software applications, including user access, licensing, system settings, upgrades, troubleshooting, and software deployments.</li><li>Serve as a primary point of contact for application-related questions and technical support, helping users resolve issues and get the most out of available software.</li><li>Develop and maintain utilities, scripts, and integrations that connect business applications, databases, and internal systems using C#/.NET, VB.NET, or other supported programming languages.</li><li>Identify opportunities to automate repetitive tasks, improve workflows, reduce manual data entry, and increase system efficiency.</li><li>Use SQL to retrieve, compare, and validate data across systems, helping identify discrepancies and maintain data accuracy.</li><li>Support and improve existing integrations between company applications and the ERP system, working with the MRP/ERP Solutions Consultant to investigate transfer failures and resolve data issues.</li><li>Maintain and improve existing VBA/VB.NET scripts and other custom-developed tools.</li><li>Coordinate software installations, licensing, upgrades, and application deployments with IT and relevant software vendors.</li><li>Test application updates, integrations, and custom utilities before deployment. Maintain appropriate documentation, source control, error handling, and recovery procedures.</li><li>Provide user training and develop practical documentation and guides to help employees use company applications effectively.</li><li>Work with IT on infrastructure, security, user access, backups, and application deployments.</li><li>Collaborate with departments across the company to understand software issues, prioritize improvements, and implement practical solutions.</li><li>Perform other related duties as assigned.</li></ul><p><br></p>
<p>Robert Half is seeking a <strong>Systems Engineer II</strong> to support enterprise endpoint engineering in a regulated financial services environment. This role will be responsible for designing, implementing, maintaining, and securing Windows, macOS, and iOS endpoints across on-premises, cloud-managed, and remote environments.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Administer and optimize <strong>Tanium</strong> as the primary endpoint management and patching platform, including Patch, Deploy, Comply, Asset, and Interact modules</li><li>Lead enterprise patching strategy for <strong>Windows, macOS, and third-party applications</strong>, including monthly patch cycles, out-of-band releases, zero-day remediation, and feature updates</li><li>Coordinate patch testing, pilot groups, phased deployments, validation, compliance monitoring, and rollback procedures</li><li>Package, test, and deploy applications across <strong>Windows, macOS, and iOS</strong> using <strong>Tanium Deploy</strong> and <strong>Microsoft Intune</strong></li><li>Manage endpoint provisioning and enrollment for <strong>Windows Autopilot</strong>, <strong>Apple Business Manager</strong>, and <strong>Intune</strong></li><li>Own <strong>Group Policy</strong> and <strong>Intune policy administration</strong>, including configuration profiles, compliance policies, security baselines, endpoint protection, update rings, and conditional access</li><li>Develop and maintain automation for provisioning, software deployment, patch orchestration, endpoint health checks, and reporting using <strong>PowerShell, Python, and Bash</strong></li></ul><p><br></p>
<p>Our client is seeking a highly skilled Systems Engineer to bring formal systems engineering expertise and best practices into a growing product development organization.</p><p>The ideal candidate is a true systems engineering professional with a strong foundation in requirements development, decomposition, verification, validation, and requirements traceability. The client is looking for someone who understands how to translate customer and business needs into structured system requirements and ensures those requirements flow through every level of product development.</p><p><br></p><p>In this role, you'll serve as the owner and champion of systems engineering processes, working across cross-functional teams and global OEM partners to ensure products are engineered with rigor, consistency, and clear technical requirements from concept through launch.</p><p><br></p><p><strong>What You'll Do:</strong></p><ul><li>Lead system-level requirements development for new product initiatives </li><li>Translate high-level market and business needs into detailed technical specifications and subsystem requirements </li><li>Define and manage requirements across multiple product tiers, including entry-level, mid-range, and premium products </li><li>Establish and maintain requirements traceability throughout the product lifecycle </li><li>Review product architectures, designs, verification plans, and validation results to ensure alignment with requirements </li><li>Partner with mechanical, electrical, firmware, software, quality, and manufacturing teams to ensure system-level integration </li><li>Act as the internal subject matter expert on systems engineering methodology and best practices </li><li>Drive a disciplined approach to requirements management, change control, verification, and validation </li><li>Collaborate with OEM partners to ensure technical requirements are clearly defined, understood, and executed</li></ul>
<p><strong>Job Title: </strong>Senior DevOps Engineer (Azure DevOps / AWS)</p><p><strong>Location:</strong> 100% Remote</p><p><strong>Duration:</strong> 3-6 Month Contract</p><p><strong>Type:</strong> Contract Consulting Engagement</p><p><strong>Schedule: </strong>40 Hours Weekly, Monday- Friday </p><p><br></p><p><strong>Overview</strong></p><p>We are seeking a hands-on <strong>Senior DevOps Engineer</strong> to support a large-scale application modernization and cloud transformation initiative. This consultant will play a key role in enhancing CI/CD capabilities, improving deployment automation, and supporting the migration of legacy applications to modern cloud-based architectures.</p><p>The ideal candidate will have deep experience with <strong>Azure DevOps</strong>, CI/CD pipeline development, AWS cloud technologies, and application modernization efforts. This is a highly technical, engineering-focused role where you'll be expected to contribute immediately within an established DevOps environment while helping drive several strategic modernization initiatives forward.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Design, build, enhance, and maintain Azure DevOps CI/CD pipelines</li><li>Improve deployment automation and release management processes</li><li>Develop new development, testing, and production deployment pipelines</li><li>Support application modernization and cloud transformation initiatives</li><li>Help standardize deployment practices across multiple teams and environments</li><li>Automate build, release, and deployment workflows</li><li>Collaborate with software engineers, architects, and business stakeholders</li><li>Support deployments within AWS environments, including EC2 and serverless workloads</li><li>Assist with Infrastructure as Code initiatives and overall platform maturity</li><li>Contribute to DevOps best practices, governance, and operational reliability</li><li>Document processes and collaborate within Jira and Confluence environments</li></ul><p><br></p><p><br></p>
Talent Sourcer | Help Build the Future of Enterprise AI San Mateo, CA | Hybrid/Onsite | Contract or Contract-to-permanent <br> Join an AI Company Transforming What's Possible! <br> Robert Half is partnering with a rapidly growing AI technology company that is helping organizations build, train, and deploy next-generation artificial intelligence solutions. Backed by industry-leading investors and founded by pioneers in AI infrastructure, our client is shaping the future of enterprise AI through cutting-edge technology, innovation, and world-class talent. As the company continues to scale, they are seeking a strategic and driven Talent Sourcer to play a key role in identifying and engaging exceptional talent across both technical and go-to-market functions. This is an opportunity to join a high-growth environment where your ability to build pipelines, uncover hard-to-find talent, and influence hiring outcomes will have a direct impact on the organization's success. <br> Position Description: <br> The Talent Sourcer will serve as a critical partner to the Talent Acquisition team, helping build and maintain strong candidate pipelines for priority hiring initiatives. This individual will proactively identify, engage, and attract top talent while leveraging market intelligence and sourcing best practices to support hiring across engineering, AI, infrastructure, and business functions. <br> Responsibilities: <br> Proactively source and engage passive candidates through LinkedIn Recruiter, GitHub, technical communities, open-source networks, and other creative sourcing channels. Build and maintain robust talent pipelines across technical and go-to-market roles. Partner closely with recruiters, hiring managers, and business leaders to understand hiring needs and develop targeted sourcing strategies. Create compelling, personalized outreach campaigns that effectively communicate the company's mission, culture, and career opportunities. Conduct initial candidate conversations to assess qualifications, experience, and overall alignment with hiring requirements. Research competitor organizations, emerging talent pools, and industry trends to inform sourcing strategies and hiring decisions. Support diversity hiring initiatives by building inclusive candidate pipelines and implementing equitable sourcing practices. Maintain accurate candidate records and sourcing activity within the Applicant Tracking System (ATS). Monitor sourcing metrics, pipeline health, and conversion data to identify opportunities for process improvement. Continuously explore new sourcing tools, technologies, and engagement strategies to improve recruiting outcomes.
<p>We are a market-leading U.S. consumer packaged goods (CPG) food manufacturer specializing in top-selling, allergy-friendly, and plant-based baked goods. Founded with a mission to create safe, delicious products for individuals with severe food allergies, our products are distributed to major retail and distribution partners nationwide.</p><p>Position Overview</p><p>We are seeking a highly motivated, in-house <strong>ERP & Database Engineer</strong> to take full ownership of our business data systems—assessing, updating, and optimizing our technical infrastructure.</p><p>We currently operate on an on-premise manufacturing ERP running on a Firebird 3.0 database (approx. 14 GB across 250+ tables). Internal reporting is driven by a legacy dashboard built in Visual Basic 6.0 (VB6), Microsoft Access, and ODBC connections. The ideal candidate will quickly master our existing legacy environment, document data flows, recommend a modernized path forward, and lead the technical execution.</p><p><br></p><p><strong><em>Key Responsibilities</em></strong></p><p><br></p><p>Phase 1: Assessment & Strategy</p><ul><li><strong>System Mapping:</strong> Map data flows between the core ERP, Firebird database, legacy VB6/Access dashboard, and EDI invoicing infrastructure.</li><li><strong>Database Audit:</strong> Identify custom tables/queries, resolve duplicate or inconsistent records, repair missing keys, and extract business logic embedded in legacy reports or spreadsheets.</li><li><strong>System Health Check:</strong> Review database maintenance, automated backups, file growth trends, and database version status.</li><li><strong>Knowledge Capture:</strong> Interview key internal stakeholders across Engineering, Accounting, Sales, and Production to document legacy logic and operational workflows.</li><li><strong>Strategic Recommendation:</strong> Present a comprehensive plan (including cost, timeline, and risk analysis) choosing one of the following paths:</li></ul><ol><li>Maintain the current ERP, clean core data, and replace the legacy dashboard.</li><li>Maintain the current ERP and build a separate, well-modeled reporting database to power dashboards.</li><li>Replace the legacy ERP with a new enterprise system and execute the data migration.</li></ol><p>Phase 2: Remediation & Execution</p><ul><li>Lead the selected technical roadmap from design and architecture through system cutover.</li><li>Establish automated database maintenance, tested backup procedures, monitoring, and upgrade schedules.</li><li>Retire the legacy VB6/Access dashboard in collaboration with our internal Systems Analyst (currently developing a modern Python replacement).</li><li>Maintain comprehensive documentation and train internal team members to ensure long-term system maintainability and continuity.</li></ul><p><br></p>
<p>We are looking for a Data Engineer to help shape and strengthen the organization’s data warehouse and analytics capabilities. This role will focus on building reliable data solutions that support reporting, business intelligence, and operational decision-making across the company. The ideal candidate brings strong technical depth in data engineering, enjoys solving complex integration challenges, and works effectively with both IT colleagues and business stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Design and enhance scalable data warehouse structures and integration pipelines that support analytics, reporting, and cross-system data flow.</p><p>• Develop, test, and maintain ETL processes that move data from varied source systems into staging, warehouse, and downstream reporting environments.</p><p>• Partner with business teams and technical peers to translate functional needs into practical data solutions and system designs.</p><p>• Improve database performance by tuning SQL, refining indexing strategies, and addressing issues identified through execution plan analysis.</p><p>• Create and support dashboards, reports, and data visualizations using tools such as Power BI, Tableau, and similar business intelligence platforms.</p><p>• Perform data validation, auditing, and quality checks to protect accuracy, consistency, and compliance across critical datasets.</p><p>• Provide production support for data platforms, integrations, and reporting solutions, resolving issues and maintaining dependable system performance.</p><p>• Contribute to agile delivery efforts by participating in development, testing, and quality assurance activities across databases, middleware, and analytics applications</p>
<p>We are looking for an expierenced Automation Integration Engineer to help strengthen and advance automated distribution operations in Riverside, California. This position combines hands-on engineering support with system integration work to keep warehouse technology, material handling equipment, and software platforms performing reliably in a high-volume retail environment. The role partners closely with operations, IT, engineering, and external vendors to resolve technical issues, improve throughput, and support new automation initiatives.</p><p><br></p><p>Responsibilities:</p><p>• Coordinate the connection and performance of warehouse software, automation controls, and material handling equipment to ensure smooth operation across distribution processes.</p><p>• Convert operational needs into detailed technical documentation, including functional requirements, change requests, and integration specifications.</p><p>• Build and manage testing strategies for system updates and automation enhancements, then verify results before release into production.</p><p>• Investigate interface failures, process interruptions, and unexpected system behavior by tracing data flow and equipment interaction across connected platforms.</p><p>• Provide daily engineering support for live automated operations, addressing equipment and system issues that affect flow, accuracy, or productivity.</p><p>• Lead root cause analysis for operational disruptions and follow issues through corrective action until stable performance is restored.</p><p>• Identify and implement improvements that increase throughput, strengthen reliability, and streamline warehouse processes.</p><p>• Assist with implementation projects, commissioning efforts, and go-live activities by coordinating technical tasks across internal teams and third-party partners.</p><p>• Maintain clear technical documentation such as standard operating procedures, workflow diagrams, interface records, and system support materials.</p><p>• Use operational metrics and system data to evaluate performance, support troubleshooting efforts, and contribute to reporting on key distribution indicators.</p>
<p>We are seeking an experienced Senior Systems Engineer to lead the design, administration, optimization, and support of a complex enterprise infrastructure environment. This role is responsible for ensuring the performance, security, scalability, and reliability of critical systems spanning on-premises, hybrid, and cloud-based technologies.</p><p>The ideal candidate will bring deep expertise across server infrastructure, virtualization, cloud platforms, storage solutions, identity management, and enterprise collaboration technologies. This individual will serve as a technical leader, driving infrastructure modernization initiatives while maintaining highly available and secure systems that support business operations.</p><p><br></p><p>What You'll Do</p><p>Infrastructure Strategy & Architecture</p><ul><li>Partner with IT leadership and business stakeholders to assess current and future infrastructure needs.</li><li>Develop and maintain infrastructure roadmaps supporting growth, security, resiliency, and operational efficiency.</li><li>Create and maintain technical documentation, system architecture diagrams, procedures, asset inventories, and operational standards.</li><li>Contribute to disaster recovery, business continuity, and infrastructure governance initiatives.</li><li>Provide technical leadership, mentoring, and guidance to junior team members and cross-functional IT teams.</li></ul><p>Systems Engineering & Deployment</p><ul><li>Design, implement, and maintain enterprise server, storage, virtualization, and cloud environments.</li><li>Lead infrastructure upgrades, migrations, consolidations, and modernization projects.</li><li>Evaluate and recommend emerging technologies, platforms, and cybersecurity best practices.</li><li>Collaborate with technology vendors and service providers to implement and support infrastructure solutions.</li><li>Identify opportunities for automation, performance improvement, and operational efficiency.</li></ul><p>Enterprise Systems Administration</p><ul><li>Administer and support Windows Server and Linux environments.</li><li>Manage VMware vSphere, VMware Cloud Foundation, and enterprise storage platforms.</li><li>Support Microsoft Azure and Microsoft 365 services, including Exchange Online, Teams, and SharePoint.</li><li>Administer Active Directory, Microsoft Entra ID, Group Policy, DNS, DHCP, and certificate services.</li><li>Monitor system performance, availability, capacity, and overall infrastructure health.</li><li>Develop and maintain automation using PowerShell and other scripting tools.</li></ul><p>Security, Backup & Disaster Recovery</p><ul><li>Manage patching, system updates, and vulnerability remediation activities.</li><li>Implement and maintain infrastructure security controls, identity management, and access governance.</li><li>Support security audits, compliance initiatives, and cybersecurity best practices.</li><li>Administer backup and recovery platforms and validate disaster recovery procedures through regular testing.</li><li>Ensure business-critical systems meet availability, security, and recovery objectives.</li></ul><p>Operational Support</p><ul><li>Troubleshoot and resolve complex infrastructure, virtualization, storage, and cloud-related issues.</li><li>Maintain operational documentation and change management records.</li><li>Participate in an on-call rotation providing after-hours support for critical systems and services.</li></ul>
<p><strong>Location:</strong> Atlanta, GA (Hybrid – standard remote/in-office split in Atlanta)</p><p><strong>Duration:</strong> Ongoing Contract</p><p><strong>Employment Type:</strong> Full-Time Contract</p><p><br></p><p>About the Role</p><p>We are seeking an innovative, system-minded <strong>AI GTM Engineer</strong> to join our team on an ongoing contract basis. In this role, you will sit at the intersection of Revenue Operations, Sales, Marketing, and AI Technology. You will architect, automate, and scale intelligent systems that turn market signals into high-converting revenue motions.</p><p>If you excel at building agentic workflows, leveraging data enrichment tools, and integrating custom AI logic directly into GTM tech stacks, this role offers an opportunity to directly shape our revenue infrastructure.</p><p>Key Responsibilities</p><ul><li><strong>AI & Agentic Workflow Architecture:</strong> Design, build, and deploy autonomous AI agents, LLM prompts, and intelligent workflows to automate inbound lead processing, outbound plays, and account personalization.</li><li><strong>Signal & Data Orchestration:</strong> Build data waterfalls and signal-based triggers (intent data, hiring spikes, executive shifts) using modern tools (e.g., Clay, Apollo, Clearbit, OpenAI/Anthropic APIs) to surface high-value opportunities to revenue teams.</li><li><strong>Tech Stack Integration:</strong> Wire AI capabilities directly into our CRM (Salesforce/HubSpot) and outreach tools, bridging gaps between disconnected sales/marketing applications via custom APIs and automation tools.</li><li><strong>Experimentation & Playbook Design:</strong> Rapidly test, iterate, and optimize automated outreach, messaging variations, and routing rules based on performance metrics (reply rates, pipeline velocity, conversion lift).</li><li><strong>Team Enablement & Technical Governance:</strong> Serve as a bridge between RevOps and frontline reps. Train sales and marketing teams on AI tool adoption, ensure data hygiene, and maintain operational stability.</li></ul>
<p>Robert Half is seeking a Systems Engineer II for a client in the financial services industry. This role is ideal for an experienced Linux professional with strong expertise in Red Hat Enterprise Linux and working knowledge of Ubuntu and related distributions. The Systems Engineer II will design, implement, secure, and maintain enterprise Linux platforms across on-premises, virtual, and cloud environments supporting critical business services.</p><p>Key Responsibilities:</p><ul><li>Administer, patch, upgrade, and troubleshoot enterprise Linux servers, primarily Red Hat Enterprise Linux</li><li>Implement system hardening, security controls, and vulnerability remediation</li><li>Monitor performance, availability, and operational health across production environments</li><li>Support compliance initiatives aligned with SCAP, STIG, CIS benchmarks, and NIST controls</li><li>Automate provisioning, patching, and administration using tools such as Bash, Python, and Ansible</li><li>Provide advanced troubleshooting, root cause analysis, and support for backup, recovery, and disaster recovery efforts</li><li>Collaborate with infrastructure, cybersecurity, cloud, database, and application teams</li></ul><p><br></p>
Job Summary We are seeking a skilled Cloud Engineer to design, implement, manage, and optimize cloud-based infrastructure and services across enterprise environments. The ideal candidate will have experience with cloud platforms, infrastructure automation, security, monitoring, and DevOps practices. This role will be responsible for supporting cloud migration initiatives, ensuring platform reliability, and driving operational excellence through automation and best practices. Key Responsibilities Design, deploy, and maintain cloud infrastructure in Azure, AWS, and/or Google Cloud Platform (GCP). Build and manage highly available, scalable, secure, and cost-effective cloud environments. Implement Infrastructure as Code (IaC) solutions using tools such as Terraform, ARM Templates, Bicep, or CloudFormation. Automate deployment, provisioning, and configuration management processes. Monitor system performance, availability, and security using cloud-native and third-party monitoring tools. Support application deployment and CI/CD pipelines in collaboration with development teams. Manage cloud networking, identity management, access controls, and security policies. Implement backup, disaster recovery, and business continuity solutions. Troubleshoot and resolve cloud infrastructure and application issues. Optimize cloud resource utilization and cost management. Participate in cloud migration, modernization, and transformation projects. Ensure compliance with organizational security, governance, and regulatory requirements. Document cloud architectures, operational procedures, and technical standards.
<p>** NOTE: This role is Hybrid ONSITE 4 days per week in Des Moines, IA **</p><p><br></p><p>We are looking for a SENIOR Java Software Developer to support banking technology initiatives in Des Moines, Iowa. This Long-term Contract opportunity is ideal for a developer who enjoys building reliable applications across both front-end and back-end environments. The role will focus on creating and enhancing enterprise solutions using modern Java frameworks, Angular, and database-driven services while partnering with teams to deliver scalable results.</p><p><br></p><p>Responsibilities:</p><p>• Build, enhance, and maintain Java-based applications that support banking operations and business objectives.</p><p>• Develop user-facing features with JavaScript and Angular to deliver responsive and intuitive web experiences.</p><p>• Design and implement backend services using Spring, Spring Boot, and Maven within enterprise application environments.</p><p>• Write, optimize, and troubleshoot SQL and PL/SQL code to support data processing, integration, and application performance.</p><p>• Collaborate with cross-functional teams to translate functional needs into technical solutions and high-quality software deliverables.</p><p>• Contribute to API development and system integration work using Java-based service frameworks and RESTful design practices.</p><p>• Review application performance, resolve defects, and apply coding best practices to improve reliability and maintainability.</p><p>• Use Excel for analysis, reporting support, or data validation as needed within development and testing activities.</p><p><br></p><p>** NOTE: This role is Hybrid ONSITE 4 days per week in Des Moines, IA **</p>
We are looking for a Data & Integration Engineer to support the design and delivery of dependable data solutions for healthcare operations in Mankato, Minnesota. In this role, you will create and optimize data pipelines, connect critical applications, and help ensure information moves accurately across clinical, operational, and business platforms. This position is ideal for someone who combines strong technical depth with a practical understanding of healthcare data standards, platform reliability, and regulatory expectations.<br><br>Responsibilities:<br>• Develop and support scalable data workflows that collect, transform, and distribute information across enterprise systems.<br>• Build and manage integrations between clinical, operational, and business applications to enable consistent data exchange.<br>• Monitor data processing and interface performance, troubleshoot failures, and improve overall reliability of connected systems.<br>• Establish and maintain controls that strengthen data accuracy, completeness, and consistency throughout the data lifecycle.<br>• Create and enhance data infrastructure using modern cloud and database technologies to support reporting, analytics, and operational needs.<br>• Partner with technical and business teams to understand integration requirements and translate them into effective engineering solutions.<br>• Implement solutions that align with healthcare data regulations and interoperability expectations across connected platforms.<br>• Support interfaces and data connections involving electronic health record and practice management systems, including related downstream applications.
<p>We are looking for a Principal Data Engineer to shape and lead a modern enterprise data platform serving multiple business lines. This position will define the architectural direction for a Microsoft Fabric-based environment, guide engineering best practices, and partner closely with data and IT leaders to support long-term growth. The role is ideal for a senior technical expert who combines deep hands-on engineering capability with strong mentorship and platform strategy experience.</p><p><br></p><p>Responsibilities:</p><p>• Lead the design and ongoing evolution of a Microsoft Fabric lakehouse environment, establishing a scalable architecture across raw, refined, and curated data layers.</p><p>• Create and support robust data integration workflows that bring information together from more than 30 enterprise applications and operational platforms.</p><p>• Set technical standards for data engineering, including coding practices, solution design patterns, documentation, and review processes.</p><p>• Mentor data engineers through hands-on coaching, collaborative development, and detailed code feedback to strengthen team capability.</p><p>• Partner with data and IT leadership to align platform architecture with business priorities and future expansion needs.</p><p>• Develop high-quality data pipelines using modern tools and frameworks such as SQL, Python, Spark, and PySpark within cloud-based data ecosystems.</p><p>• Evaluate new technologies, architectural approaches, and data platform trends, then provide informed recommendations for adoption.</p><p>• Support governance and platform reliability by promoting strong lineage, quality, performance, and scalable engineering practices.</p><p>• Contribute to cross-platform interoperability initiatives, including environments that may involve Databricks, governance tooling, and enterprise data services.</p>
We are looking for a Senior Application Support Engineer to provide hands-on application support and operational stability for critical warehouse and transportation technology platforms in Westerville, Ohio. This Long-term Contract role focuses on maintaining system performance, resolving complex production issues, and partnering across technical and business teams to keep fulfillment and shipping processes running smoothly. The position also contributes to application improvements, technical documentation, user guidance, and recovery preparedness for essential enterprise systems.<br><br>Responsibilities:<br>• Deliver advanced support for warehouse management, transportation, and related peripheral applications to ensure reliable day-to-day operations.<br>• Investigate incidents, analyze system behavior, and drive root cause resolution for complex application and integration issues.<br>• Partner with frontline support and senior technical teams to coordinate escalations, communicate status, and restore service efficiently.<br>• Maintain and administer SaaS platforms along with Windows- and Linux-based supporting systems used in distribution and shipping environments.<br>• Configure and support outbound shipping workflows, including troubleshooting carrier and transportation system integrations.<br>• Create and update technical documentation, operational procedures, and end-user guidance to improve support readiness and knowledge sharing.<br>• Contribute to disaster recovery planning and participate in recovery exercises to help validate application resilience.<br>• Perform targeted development or scripting work when needed to correct underlying issues while following established engineering standards.<br>• Work with cross-functional stakeholders on software installation, release coordination, and production readiness activities across multiple departments.<br>• Mentor less experienced team members and recommend enhancements that improve support efficiency, application performance, and customer experience.
<p>We are looking for a MLOps Engineer II w/ a focus on GPU Compute to join a team in Coppell, Texas, on a Long-term Contract assignment. In this role, you will design and refine vision-based AI solutions that support real-world image and video use cases, while partnering with cross-functional teams to move ideas from research into production. The position is ideal for someone who combines strong machine learning expertise with practical understanding of hardware constraints and model performance in live environments.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>•Deploy GPUs (Graphics Processing Units) workflows in a retail environment that requires processing massive amounts of image, video, customer, and transaction data.</p><p>•Design, build, and enhance computer vision and machine learning models for use cases involving object detection, image segmentation, classification, and video-based analysis.</p><p>•Compare modeling approaches, assess trade-offs across accuracy, speed, and scalability, and recommend fit-for-purpose solutions aligned with business goals.</p><p>•Train and adapt deep learning models using frameworks such as PyTorch or TensorFlow, applying techniques like transfer learning and optimization for efficient performance.</p><p>•Establish evaluation methods, track key performance measures, investigate error patterns, and iterate on models to improve reliability and response time.</p><p>•Incorporate practical considerations related to cameras, sensors, lighting conditions, and edge hardware when developing and tuning solutions.</p><p>•Create and support data preparation, annotation, and validation workflows that enable consistent experimentation and dependable deployment.</p><p>•Work closely with software, hardware, and MLOps partners to transition models from proof of concept into production-ready applications.</p><p>•Contribute to deployment readiness by helping optimize models for inference and operational use in resource-constrained environments.</p>
We are seeking a highly skilled Big Data Engineer to design, build, and optimize scalable data platforms that support enterprise analytics, reporting, machine learning, and business intelligence initiatives. The ideal candidate will have experience developing large-scale data pipelines, managing cloud-based data ecosystems, and implementing high-performance data solutions that enable data-driven decision-making across the organization. Key Responsibilities Design, develop, and maintain large-scale data processing systems and data pipelines. Build and optimize ETL/ELT workflows for structured, semi-structured, and unstructured data sources. Develop scalable solutions using distributed computing frameworks such as Apache Spark, Hadoop, and Kafka. Collaborate with Data Scientists, Analysts, Architects, and business stakeholders to support analytical and operational requirements. Integrate data from multiple internal and external systems while ensuring data quality and integrity. Design and implement cloud-native data solutions within AWS, Azure, or Google Cloud environments. Monitor, troubleshoot, and improve the performance, reliability, and scalability of data platforms. Implement data governance, security, compliance, and access control standards. Support real-time and batch data processing requirements. Document architectures, workflows, and technical specifications to ensure operational excellence.
<ul><li> Participates in the planning and design of network architecture.</li><li> Performs maintenance of network devices including the restoration of hardware and software.</li><li> Conduct advanced research and evaluation of network technology and recommend purchases of network equipment.</li><li> Works with end users, Team Members and vendors to resolve network hardware and software issues.</li><li> Designs installs, supports and tests Local and Wide Area Networks.</li><li> Supports Infrastructure including: switches, routers, wireless, optical, and firewalls.</li><li> May develop end-user training to achieve efficient utilization of LAN/WAN.</li><li> Responds to and resolves help desk tickets. Participates in project management activities as assigned.</li><li> Participates in Network Team On-Call program.</li><li> Adheres to the Medical Center's Organizational Competencies and Standards of Behavior.</li></ul><p><br></p>
We are looking for a Cloud Engineer to join a service organization in Jacksonville, Florida in a contract capacity with the potential to become permanent. This role is suited for a hands-on, detail-oriented individual who can strengthen and support enterprise cloud infrastructure while improving reliability, automation, and operational efficiency. The position will work across Microsoft-based environments and Azure services, partnering with technical teams to deliver stable, secure, and scalable solutions.<br><br>Responsibilities:<br>• Design, implement, and maintain cloud and hybrid infrastructure solutions across enterprise Microsoft and Azure environments.<br>• Administer production Azure resources and help optimize performance, availability, and cost across hosted services.<br>• Build and enhance automated infrastructure deployment processes using Infrastructure as Code tools such as Terraform.<br>• Support container-based platforms, including Docker and Azure Kubernetes Service, to improve application delivery and platform scalability.<br>• Collaborate with engineering and operations teams to define technical standards, strengthen system reliability, and promote cloud best practices.<br>• Lead infrastructure initiatives from planning through execution, ensuring timelines, quality expectations, and business needs are met.<br>• Troubleshoot complex platform, server, and network-related issues, including active participation during service incidents and outage response calls.<br>• Develop and maintain scripts and deployment workflows using tools such as PowerShell, Python, or Bash to streamline administration and repeatable tasks.<br>• Contribute to secure cloud operations by applying sound controls for access, compliance, data protection, and environment governance.<br>• Deliver responsive internal support by listening carefully, communicating clearly, recommending practical solutions, and confirming follow-up actions are completed.