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.
<p>We are seeking a versatile and technically strong Software Engineering Instructor to join our team in Monroe, NY. This individual will help students and/or learners strengthen their programming skills through hands-on instruction, mentoring, troubleshooting, and real-world development exercises.</p><p><br></p><p>The ideal candidate is a well-rounded software developer who can work comfortably across multiple programming languages and frameworks and has the ability to explain complex technical concepts in a clear, approachable manner.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Provide hands-on programming instruction, tutoring, and technical mentorship.</li><li>Teach and support learners across multiple programming languages, frameworks, and development environments.</li><li>Develop practical exercises, examples, and learning materials focused on real-world software development.</li><li>Help learners troubleshoot code, identify bugs, and understand best practices for debugging and testing.</li><li>Support testing and regression testing to ensure applications function as expected.</li><li>Introduce learners to cloud technologies, particularly <strong>AWS</strong>.</li><li>Help learners understand and apply modern <strong>AI technologies</strong>, including AI frameworks, APIs, plugins, and integrations.</li><li>Adapt instruction to different experience levels and learning styles.</li><li>Stay current with emerging programming languages, development frameworks, AI technologies, and industry best practices.</li></ul><p><br></p>
<p>We are looking for an experienced Cloud Engineer/Administrator to support and enhance enterprise infrastructure for a client. This opportunity is ideal for a senior-level candidate who can manage a well-established Nutanix environment while helping shape cloud modernization efforts within a Microsoft-focused organization. The role combines hands-on platform administration, operational support, and strategic involvement in Azure-based transformation initiatives.</p><p><br></p><p>Responsibilities:</p><p>• Administer and optimize a production Nutanix environment that supports essential business operations and high-availability infrastructure needs.</p><p>• Provide advanced support for complex infrastructure issues, serving as a senior escalation point for Tier 3 incidents across cloud and on-premises systems.</p><p>• Lead and support Azure administration activities, including planning and executing workload modernization and migration efforts where appropriate.</p><p>• Manage Microsoft 365 and identity services, including access control, authentication, and directory-related administration.</p><p>• Develop and maintain disaster recovery, backup, and resiliency practices to protect critical systems and data.</p><p>• Collaborate on enterprise infrastructure design, capacity planning, and performance improvements across hybrid environments.</p><p>• Support network and firewall coordination to ensure secure connectivity between platforms, users, and cloud services.</p><p>• Document system configurations, operational procedures, and technical recommendations to improve stability and support continuity.</p>
We are looking for an experienced PowerApps Engineer to support enterprise Power Platform initiatives for a client in Fort Lauderdale, Florida. This Long-term Contract position focuses on assessing existing tenant assets, analyzing cross-platform dependencies, and executing migration activities across Power Platform and Microsoft 365 ecosystems. The ideal candidate brings strong technical depth in Power Platform architecture, PowerShell automation, and environment-level planning, along with the ability to translate complex findings into clear recommendations for stakeholders.<br><br>Responsibilities:<br>• Evaluate current Power Platform assets across tenants and environments, producing clear inventory reports and migration recommendations for client stakeholders.<br>• Investigate platform architecture, configurations, and dependency relationships spanning Power Apps, Power Automate, Dataverse, Copilot Studio, AI Builder, and related solution components.<br>• Use PowerShell and reporting tools to collect, organize, and interpret technical data required for migration planning and decision-making.<br>• Analyze source and target tenant dependencies, including identity, collaboration, storage, and business application connections, to prepare accurate migration mappings.<br>• Support the movement of Dataverse data and solution components between environments using approved migration utilities and administrative tools.<br>• Work with Microsoft 365 and Power Platform admin centers to validate configurations, resolve dependency issues, and coordinate environment readiness.<br>• Build and maintain deployment and migration workflows through Azure DevOps pipelines and associated engineering practices.<br>• Communicate technical assessments, migration risks, and remediation options in language that is accessible to both technical and non-technical audiences.
<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>
Position: Tool & Die Engineer - Manufacturing<br>Location: Greater Des Moines area<br>Salary: $80,000 - $100,000<br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. ***<br><br>Tool & Die Engineer<br>Join a stable manufacturer that continues to invest in its people, products, and U.S. operations. This is an opportunity to work in a modern, climate-controlled facility where you'll design and improve tooling that directly impacts quality, efficiency, and production success.<br>What You'll Do<br> • Design and develop press tooling, dies, fixtures, and manufacturing solutions<br> • Improve manufacturing processes and tooling performance<br> • Review engineering drawings and blueprints<br> • Support spare parts planning and documentation<br> • Troubleshoot production issues and drive continuous improvement<br> • Provide technical leadership and coaching to team members<br> • Ensure product quality and compliance standards are met<br>What We're Looking For<br> • 5+ years of Tool & Die Engineering experience<br> • Associate degree in Tool & Die Technology, Mechanical Engineering, or related field<br> • CAD experience (SolidWorks preferred; AutoCAD, Mastercam, and KeyCreator a plus)<br> • Strong blueprint reading, troubleshooting, and problem-solving skills<br> • Leadership experience preferred<br>Why Join?<br> • $80,000 - $100,000 base salary<br> • First shift: 7:00 AM – 3:00 PM<br> • Financially sound company with exceptional stability<br> • No history of layoffs<br> • Climate-controlled facility<br> • Growing business with new products and facility expansion<br> • Opportunities for long-term career growth<br><br>If you're an engineering-minded professional who enjoys solving complex manufacturing challenges and wants to make a tangible impact, we'd love to have a confidential conversation.<br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
We are looking for a Senior MLOps Engineer to strengthen our machine learning infrastructure in King of Prussia, Pennsylvania. This hybrid position will focus on building dependable systems that support the full model lifecycle, from data preparation and training to deployment and ongoing performance oversight. The role works closely with machine learning and engineering partners to improve reliability, scalability, and cost efficiency across production ML operations.<br><br>Responsibilities:<br>• Lead the design, maintenance, and enhancement of the machine learning platform that supports experimentation, training workflows, model versioning, deployment, and production observability.<br>• Develop and operate resilient data pipelines for model training and live inference, including processes for replaying historical data, recovering from source interruptions, and handling delayed or inconsistent inputs.<br>• Establish data handling practices that preserve time-accurate training sets so models are built on information available at the correct point in time.<br>• Create repeatable pathways for promoting validated models into production while maintaining consistency, traceability, and operational stability.<br>• Implement standards that make training runs reproducible, allowing teams to reliably compare results and investigate performance changes.<br>• Track model behavior in production over time, including delayed outcome validation, and surface issues that affect model quality or business impact.<br>• Optimize infrastructure and workflows to manage compute and data costs as usage expands across larger datasets and multiple deployed models.<br>• Collaborate with ML engineers on model assessment, production readiness, and technical decision-making related to deployment strategies and platform improvements.<br>• Contribute to architecture planning and recommend enhancements to the broader ML and operational ecosystem using sound engineering practices.<br>• Support cloud-native operations using AWS, Kubernetes, Terraform, and Ansible to maintain scalable and well-managed environments.