<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>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>
<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>
<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>
We are looking for a Data Engineer to join a confidential enterprise organization in McKinney, Texas and help advance a large-scale cloud data environment. This contract opportunity with potential for a permanent role focuses on building and refining a modern lakehouse platform in Azure, with a strong emphasis on Azure Databricks and scalable data engineering practices. The role will work across technical and business teams to create dependable, secure, and high-performing data solutions that support analytics and decision-making.<br><br>Responsibilities:<br>• Create and maintain robust data pipelines in Azure Databricks using Spark-based engineering approaches to support large-volume processing needs.<br>• Build ingestion frameworks that bring data from APIs, event streaming platforms, cloud storage, and enterprise systems into structured lakehouse layers.<br>• Apply lakehouse design standards across bronze, silver, and gold environments to improve data usability, consistency, and downstream reporting value.<br>• Enhance platform efficiency by tuning Spark workloads, refining storage strategies, and improving processing performance and cost management.<br>• Connect Databricks solutions with Azure services such as Data Factory, Synapse, Data Lake Storage, Event Hub, Key Vault, and Azure DevOps.<br>• Establish secure data access patterns through governance controls, identity-based access, and protection measures such as masking and policy alignment.<br>• Partner with architects, analysts, data scientists, and business stakeholders to deliver trusted datasets, metrics, and KPI-ready data assets.<br>• Strengthen data reliability by implementing validation checks, monitoring, lineage tracking, alerting, and recovery processes for critical workflows.<br>• Contribute technical leadership through code reviews, engineering guidance, and mentoring support for other members of the data team.
<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 an Application Support Engineer to join a financial services organization in Woodbridge, New Jersey on a Long-term Contract basis. This position is ideal for a hands-on technical specialist who enjoys solving user issues, supporting endpoint environments, and improving day-to-day IT operations. The role combines second-level support responsibilities with device management, scripting, and collaboration across core infrastructure technologies.<br><br>Responsibilities:<br>• Deliver second-line technical support for end-user hardware, software, and application issues across the business<br>• Investigate and resolve escalated incidents, ensuring timely diagnosis and clear communication with users and internal teams<br>• Manage Microsoft Intune activities such as device configuration, policy administration, and application deployment<br>• Create and update PowerShell scripts to streamline repetitive support tasks and improve operational efficiency<br>• Support Windows desktop environments, including laptop setup, imaging, deployment, maintenance, and patching<br>• Assist with account, access, and device administration in Active Directory and Azure AD environments<br>• Perform foundational network troubleshooting to identify connectivity issues and support issue resolution<br>• Contribute to hands-on support work when needed, including Level 1 assistance and laptop build preparation<br>• Maintain accurate technical documentation, support procedures, and knowledge resources for recurring issues
<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.
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>
<p>We are looking for a Data Engineer to help strengthen financial decision-making by building reliable data and automation capabilities that support planning and analysis. This position works closely with finance leaders and business partners to turn strategic goals into scalable data solutions, improving visibility, speed, and confidence in reporting. </p><p><br></p><p>Responsibilities:</p><p>• Design and maintain data pipelines that convert financial and operational information into trusted, analysis-ready datasets for planning and reporting.</p><p>• Create scalable data models and structured finance data assets within the broader enterprise ecosystem to support consistent, governed analytics.</p><p>• Develop automation solutions using tools such as Python, Excel, and workflow platforms to streamline recurring finance processes and increase team capacity.</p><p>• Build near real-time data transformation processes that improve the timeliness and accuracy of performance visibility for stakeholders.</p><p>• Apply AI-enabled techniques such as anomaly detection, forecasting support, and variance analysis to enhance financial insight generation.</p><p>• Deliver self-service analytics tools and reporting frameworks that allow business users to explore key metrics and make informed decisions independently.</p><p>• Establish documentation, data standards, and governance practices that improve maintainability, quality, and long-term adoption of solutions.</p><p>• Monitor and support automated jobs and bot-driven processes, including troubleshooting, performance oversight, and control management.</p><p>• Translate complex data findings into clear, executive-level outputs that help guide business strategy and financial priorities</p>
<p>We are looking for a PLC Programmer/Automation Engineer to join a growing automation team in NW Tampa, FL area. This position focuses on developing and supporting process control solutions for bulk material handling, batching, weighing, mixing, and related industrial systems. The role is ideal for an engineer who enjoys combining PLC programming, HMI/SCADA development, and field commissioning to deliver reliable automation systems across complex manufacturing environments.</p><p><br></p><p>Responsibilities:</p><p>• Design, program, and test PLC-based control systems for industrial processing and bulk ingredient handling applications using Rockwell Automation platforms.</p><p>• Develop HMI and SCADA interfaces that give operators clear visibility into system performance, process status, and alarm conditions.</p><p>• Configure instrumentation and control devices, then support startup, tuning, and on-site commissioning to ensure systems perform as intended.</p><p>• Interpret process flow diagrams, P& IDs, and electrical schematics to translate engineering requirements into effective automation logic.</p><p>• Partner with project managers, electrical design teams, and startup personnel to coordinate implementation activities and resolve technical issues.</p><p>• Troubleshoot control hardware, industrial networks, drives, and connected field equipment to maintain reliable system operation.</p><p>• Assist with integrating third-party equipment and vendor systems into broader plant automation architectures.</p><p>• Travel to customer sites as needed to support validation, system checkout, operational readiness, and user training.</p>
<p><strong>Azure Developer</strong></p><p>We are seeking a knowledgeable <strong>Azure Developer</strong> to build cloud-native applications and services using Microsoft Azure technologies. This role is ideal for someone who enjoys designing scalable solutions, working with modern cloud tools, and collaborating closely with software and cloud engineering teams. The ideal candidate will have strong development skills, deep understanding of Azure services, and a passion for cloud innovation.</p><p><strong>Responsibilities</strong></p><ul><li>Develop cloud-based applications using Azure Functions, App Services, Logic Apps, and related services</li><li>Build APIs, microservices, and serverless workloads using .NET, C#, or other Azure-supported languages</li><li>Implement Azure integrations using Service Bus, Event Hub, API Management, or Durable Functions</li><li>Create and optimize Azure DevOps pipelines for CI/CD automation</li><li>Develop Infrastructure-as-Code templates using ARM, Bicep, or Terraform</li><li>Collaborate with architects and DevOps teams to ensure scalable cloud designs</li><li>Troubleshoot application issues, performance bottlenecks, and integration problems</li><li>Monitor cloud workloads, logs, costs, and performance metrics</li><li>Maintain documentation for Azure solutions, APIs, and deployment procedures</li><li>Participate in code reviews, design sessions, and architectural discussions</li></ul><p><br></p>
We are looking for a Data Engineer to join our team in Jacksonville, Florida and help shape scalable, enterprise-ready analytics solutions. In this role, you will turn complex business needs into well-structured data models, high-performing pipelines, and actionable reporting assets that support informed decision-making. The ideal candidate brings deep experience with modern data platforms, strong technical leadership, and the ability to guide best practices for analytics, governance, and data usability across the organization.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines and transformation workflows using tools such as Python, Apache Spark, Hadoop, Kafka, and ETL frameworks.<br>• Build and optimize enterprise semantic models that support consistent metrics, reusable analytics assets, and reliable reporting across multiple business areas.<br>• Partner with business and technical stakeholders to convert complex requirements into practical data solutions, dashboards, and analytical datasets.<br>• Develop and support analytics solutions within modern cloud and hybrid environments, with a strong focus on Microsoft Power BI, Microsoft Fabric, and Azure Synapse Analytics.<br>• Improve data quality, model performance, and platform reliability through testing, validation, tuning, and adherence to established governance standards.<br>• Provide technical guidance to team members by sharing best practices in data modeling, visualization, and scalable analytics design.<br>• Evaluate and incorporate AI-enabled analytics capabilities and automation opportunities while ensuring outputs align with business needs and quality expectations.<br>• Communicate technical concepts and analytical insights clearly to a range of audiences, including leadership, to support strategic decisions.
We are looking for a Snowflake Data Engineer to build modern data solutions that support analytics, AI, and enterprise decision-making. This role will focus on creating reliable pipelines, scalable data models, and secure data products within a Snowflake environment. The position is based in Radnor, Pennsylvania, and offers the opportunity to work closely with engineering, security, product, and business teams on high-impact initiatives.<br><br>Responsibilities:<br>• Architect and maintain scalable data pipelines, transformation workflows, and structured data models within Snowflake to support reporting, analytics, and AI use cases.<br>• Develop and deploy AI and machine learning capabilities using Snowflake-native tools, including intelligent agents, search-driven experiences, and customer-facing applications where applicable.<br>• Define and manage semantic views and business logic layers that provide governed, consistent definitions for analytics and AI consumption.<br>• Implement and support data ingestion frameworks using technologies such as Kafka, Snowpipe, APIs, Openflow, and third-party connectors, including integrations with enterprise platforms like NetSuite.<br>• Create reusable engineering utilities and automation with SQL, SnowSQL or related Snowflake tooling, Python, and JavaScript when appropriate.<br>• Establish strong production standards through automated testing, data quality validation, observability, exception handling, and controlled deployment processes.<br>• Tune queries, pipelines, AI workloads, and data structures to improve performance, scalability, maintainability, and downstream usability.<br>• Design secure data-sharing solutions and data-product delivery patterns for internal stakeholders, external partners, and customers.<br>• Collaborate with platform administrators and security teams to align access controls, governance requirements, identity integration, and production readiness for Snowflake solutions.<br>• Investigate and resolve issues affecting pipelines, semantic models, applications, and data quality while partnering across technical and business teams to deliver durable solutions.
We are looking for an Applied AI Training Engineer to join a Contract opportunity in San Francisco, California. This role focuses on shaping high-quality data and evaluation assets that strengthen how large language models learn specialized enterprise software concepts, workflows, and decision patterns. The ideal candidate will combine AI training expertise, strong technical judgment, and close collaboration with subject matter experts to improve model accuracy, consistency, and real-world usefulness across complex business scenarios.<br><br>Responsibilities:<br>• Develop structured training examples that help large language models learn enterprise software behaviors, terminology, and task flows with precision.<br>• Collaborate with subject matter experts to convert product knowledge, process logic, and business context into usable datasets for model training.<br>• Define data design approaches that expand domain coverage and support reliable model performance across a wide range of user scenarios.<br>• Build, organize, and enhance large-scale datasets, including generating synthetic examples when they add value to model learning.<br>• Review model responses, investigate failure patterns, and adjust training content to close knowledge gaps and improve output quality.<br>• Establish reusable frameworks, taxonomies, and teaching methods for introducing new concepts, schemas, and specialized domains to AI systems.<br>• Create benchmark datasets and evaluation methods to measure reasoning quality, factual accuracy, coverage, and generalization.<br>• Implement quality controls that detect inconsistency, ambiguity, imbalance, and missing information within training data collections.<br>• Write and maintain Python-based tools to create, transform, validate, and manage training data efficiently at scale.<br>• Refine model behavior to better align responses with customer expectations, domain expertise, and intended software functionality.
We are looking for a Data Engineer to help build and maintain scalable data solutions that support critical business operations within the brokerage industry. This role is based in Chicago, Illinois, and focuses on designing reliable data pipelines, improving data accessibility, and enabling efficient processing across large datasets. The ideal candidate brings strong technical expertise in modern data engineering tools and enjoys working in a fast-paced environment where data quality, performance, and consistency are essential.<br><br>Responsibilities:<br>• Design, develop, and optimize data pipelines that support ingestion, transformation, and delivery of large-scale datasets.<br>• Build and maintain ETL workflows to ensure accurate, timely, and dependable movement of data across platforms.<br>• Use Python and Apache Spark to process complex data efficiently and improve overall pipeline performance.<br>• Work with Apache Hadoop technologies to manage distributed data storage and computation for high-volume workloads.<br>• Implement streaming and messaging solutions with Apache Kafka to support near-real-time data integration needs.<br>• Partner with cross-functional teams to understand data requirements and translate business needs into technical solutions.<br>• Monitor data processes, troubleshoot issues, and resolve bottlenecks to maintain system reliability and data integrity.<br>• Contribute to enhancements involving data platform changes or internal process updates as part of ongoing engineering initiatives.