We are looking for a Cloud Infrastructure Support Technician to join our team in Pennsylvania in a contract-to-permanent capacity. This role supports day-to-day cloud operations and end-user technology needs, with a strong emphasis on Microsoft 365 and Azure administration. The ideal candidate brings hands-on technical support experience, strong troubleshooting ability, and a proactive approach to improving reliability, security, and user experience across the environment.<br><br>Responsibilities:<br>• Oversee administration of the Microsoft Azure and Microsoft 365 environment, including account provisioning, group management, license assignment, and ongoing tenant health and security review.<br>• Deliver responsive support to employees by diagnosing and resolving issues involving devices, operating systems, connectivity, and core Microsoft 365 applications such as Exchange Online, SharePoint, Teams, OneDrive, and Office tools.<br>• Set up, maintain, and optimize cloud-based platforms and applications within the Microsoft ecosystem to ensure stable and effective service delivery.<br>• Create and update clear technical documentation, support procedures, and resolution records to improve knowledge sharing and operational consistency.<br>• Partner with the broader digital and IT teams to introduce new technologies, strengthen current solutions, and support infrastructure-related initiatives.<br>• Track hardware assets and software entitlements to help maintain accurate inventory records and licensing compliance.<br>• Monitor system performance, endpoint posture, and security controls, applying updates and patches when needed to sustain reliability and protection.<br>• Assist with technology rollout efforts involving Microsoft infrastructure and end-user equipment deployment.
<p><strong>Cloud Engineer II</strong></p><p><strong>This Statement of Work covers a six-week Phase 0 proof-of-concept engagement. Phase 0 is intended to validate feasibility, not to deliver an enterprise-scale production service.</strong></p><p><strong>This position will deploy an open-weight model endpoint in the client's infrastructure in AWS, connect it to OpenCode, and provide enough evidence for the client to decide whether to proceed to Phase 1.</strong></p><p><strong>The Phase 0 business case is based on validating whether open-weight inference can work for non-Opus coding workloads, with success criteria including model quality, latency, throughput, end-to-end developer flow, developer satisfaction, and a go/no-go decision for the next phase.</strong></p><p><br></p><p><br></p><p>Responsibilities</p><p>• Deploy and configure an AWS-hosted, open-weight coding model endpoint using client-provided infrastructure.</p><p>• Configure model-serving runtime, GPU allocation, endpoint exposure, health checks, service routing, basic error logging, credential handling, and repeatable deployment artifacts.</p><p>• Expose the model endpoint through an OpenAI-compatible API path capable of supporting representative coding prompts.</p><p>• Configure and validate OpenCode integration with the model endpoint, including any required adapter, proxy, gateway, or compatibility layer.</p><p>• Demonstrate end-to-end OpenCode-to-model request flow for representative coding-agent workflows.</p><p>• Demonstrate representative coding-assistance use cases, including code completion, code explanation, unit test generation, refactoring assistance, error diagnosis, small feature implementation, tool usage, repository/file-context prompts where supported prompts and agent skills, and OpenCode/Open Spec workflows.</p><p>• Collect and save basic performance data in Grafana, including time to first token, end-to-end latency, tokens per second, concurrency behavior, error rate, GPU utilization, and memory utilization.</p><p>• Implement baseline observability for the POC, including logs, health checks, basic metrics, and simple dashboard or metric views where feasible.</p><p>• Provide reusable deployment and configuration artifacts, such as Helm values, Kubernetes manifests, scripts, runtime configuration, gateway/proxy configuration, runbook, troubleshooting notes, and environment assumptions.</p><p>• Support limited developer validation with a small client-designated pilot group if access, timing, and dependencies allow.</p><p>• Support a lightweight quality comparison between the open-weight model and client's current coding-assistant experience if time and access allow.</p><p>• Provide preliminary Phase 1 sizing inputs, including throughput observations, bottlenecks, latency drivers, scaling considerations, recommended AWS instance families, and remaining unknowns.</p><p>• Deliver a written final report covering architecture, deployment, OpenCode integration results, functional test results, performance measurements, technical gaps, security and operational considerations, cost and scale observations, reusable artifacts, and Phase 1 readiness.</p><p>• Deliver a clear Phase 1 go/no-go recommendation, including required changes, unresolved risks, and recommended next steps for AWS-based enterprise-scale implementation.</p><p>• Conduct a knowledge-transfer session with stakeholders at the end of the engagement.</p>
<p>We are looking for an experienced Sr. Cloud Engineer to lead the design and operation of secure, scalable cloud environments. This role focuses on building resilient multi-cloud infrastructure across AWS and Microsoft Azure while advancing automation, governance, and operational reliability. The ideal candidate brings strong expertise in Terraform, cloud architecture, and enterprise-wide security practices, along with a practical approach to performance monitoring and cost control.</p><p><br></p><p>Responsibilities:</p><p>• Build and manage multi-cloud infrastructure across AWS and Azure with a focus on security, scalability, and reliability.</p><p>• Create and enhance infrastructure automation using Terraform to standardize provisioning, configuration, and ongoing platform management.</p><p>• Establish enterprise cloud governance by designing landing zones, multi-account structures, and policy controls across AWS and Azure environments.</p><p>• Monitor platform health, security posture, compliance status, and service availability using native and third-party observability tools.</p><p>• Partner with application and infrastructure teams to develop backup, disaster recovery, high-availability, and failover solutions that support business continuity.</p><p>• Review cloud environments regularly to improve resource utilization, strengthen security controls, and reduce unnecessary spend.</p><p>• Advise stakeholders on cloud architecture, operational best practices, troubleshooting, and approaches for moving on-premises systems into cloud platforms.</p><p>• Design and maintain identity and access management models, including role-based access and federated identity solutions across cloud accounts and subscriptions.</p><p>• Produce and maintain clear technical documentation covering architecture standards, configurations, procedures, and support processes.</p><p>• Contribute to capacity planning, performance tuning, and long-term platform optimization initiatives across enterprise cloud services.</p>
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 Azure Cloud Engineer – AI & Automation to join a contract opportunity based in Pennsylvania. In this role, you will help shape and support secure Azure environments while enabling AI-driven capabilities across cloud infrastructure, automation, and platform operations. This position is ideal for someone who enjoys balancing hands-on engineering with governance, reliability, and scalable delivery practices in a highly regulated environment.<br><br>Responsibilities:<br>• Create and support Azure-based solutions spanning infrastructure, connectivity, identity, storage, and managed platform services in line with enterprise architecture and security expectations.<br>• Develop and optimize deployment automation using infrastructure-as-code and modern release pipelines through tools such as Azure DevOps, GitHub Actions, Bicep, and Terraform.<br>• Operate and administer AI services across Azure AI Foundry, Azure OpenAI, Claude, and related platforms, including model setup, permission management, policy enforcement, evaluation, and live environment support.<br>• Establish and govern secure integrations for Model Context Protocol and connected enterprise systems by applying strong authentication, access controls, and data protection standards.<br>• Manage APIs, event-driven components, and security gateway configurations that enable AI services and automated workflows to connect with business applications reliably.<br>• Build retrieval-augmented AI solutions using Azure AI Search, embeddings, and vector-based data patterns to improve access to enterprise knowledge.<br>• Maintain and enhance automation solutions built with Power Automate, Logic Apps, and Copilot Studio, supporting integrations with Microsoft 365, Teams, SharePoint, and ServiceNow.<br>• Strengthen cloud governance through Azure Policy, tagging strategy, cost oversight, monitoring, logging, and operational observability tools such as Azure Monitor and Application Insights.<br>• Support Microsoft Fabric administration by overseeing tenant settings, workspace permissions, capacity controls, data access, and usage visibility across supported workloads.<br>• Contribute technical documentation, reusable standards, KPI/KRI reporting, change review activities, and incident or release support for cloud and AI environments.
We are looking for a Data Scientist to join a healthcare-focused technology team in Bala Cynwyd, Pennsylvania on a Long-term Contract basis. This position will support predictive analytics initiatives tied to state programs, quality oversight, compliance monitoring, and risk evaluation. The role is well suited for someone who can work comfortably across technical analysis, stakeholder communication, and team guidance while using modern Microsoft-based data tools.<br><br>Responsibilities:<br>• Build and refine predictive models that support healthcare analytics, quality measurement, compliance assessment, and risk-related reporting.<br>• Analyze complex datasets to uncover trends, generate actionable insights, and improve decision-making for program and operational stakeholders.<br>• Create interactive dashboards and reporting solutions in Power BI to present findings in a clear and business-friendly format.<br>• Use R, Python, SQL, and related tools to prepare data, perform statistical analysis, and develop repeatable analytical workflows.<br>• Work within Azure and Microsoft-based data environments, including SQL Server and MySQL, to manage and access structured data sources.<br>• Partner with analysts and business teams to translate technical results into practical recommendations for non-technical audiences.<br>• Provide day-to-day guidance and informal leadership within a small analytics team, helping coordinate priorities and support best practices.<br>• Contribute to data engineering and integration activities, including ETL processes and the use of tools such as Spark, Hadoop, and Kafka where needed.<br>• Leverage approved AI tools such as Copilot to improve efficiency in analysis, documentation, and reporting tasks.
<p>Robert Half is partnering with one of its clients for a true entry level data analysis project. Role is expected to be 2 to 3 months in length. Expectations are to help with an excel reconciliation project. Great opportunity to build out a resume!</p><p><br></p><p>Responsibilities:</p><p>• Examine records to identify duplicate entries, inconsistencies, and data quality issues.</p><p>• Use Excel formulas and analytical techniques to organize, validate, and reconcile large sets of information.</p><p>• Investigate irregular payment patterns and summarize findings for internal stakeholders.</p><p>• Clean and update datasets to improve accuracy, consistency, and reporting reliability.</p><p>• Maintain clear documentation of data issues, corrective actions, and recurring trends.</p><p><br></p>
We are looking for a Data Analyst to join a team in Somerset, New Jersey and turn complex information into actionable insight that strengthens fraud detection efforts. This contract opportunity with potential for a permanent role is ideal for someone who combines strong analytical thinking with practical experience identifying suspicious patterns, supporting investigations, and improving anti-fraud decision-making. The role offers the chance to work closely with business partners to interpret data, surface risk trends, and contribute to a more proactive fraud strategy.<br><br>Responsibilities:<br>• Examine large data sets to identify unusual activity, emerging fraud patterns, and indicators of potential risk.<br>• Create reports, dashboards, and analytical summaries that help stakeholders monitor fraud performance and make informed decisions.<br>• Partner with investigation and business teams to translate data findings into practical actions that support fraud prevention efforts.<br>• Evaluate transactional and behavioral information to uncover trends, root causes, and opportunities to reduce exposure.<br>• Support fraud investigations by gathering, organizing, and interpreting relevant data from multiple sources.<br>• Refine analytical methods and detection approaches to improve accuracy, efficiency, and responsiveness in anti-fraud initiatives.
<p>Robert Half is looking for a detail-oriented Data Analyst to join a Financial Services organization based in the Philadelphia, Pennsylvania area on a contract basis with the potential for a permanent position. In this Data Analyst role, you will support transaction processing, documentation review, fraud screening, and customer-facing coordination to help move finance deals through to completion. The ideal Data Analyst candidate is comfortable working in a fast-paced environment, balancing accuracy with responsiveness while partnering with both internal teams and external business contacts. Put your talents to the test and get your career going in the right direction by clicking the apply button today. If you have any questions, please contact Robert Half at 215-568-4580 and mention job reference #03720-0013511486.</p><p><br></p><p>As a Data Analyst your duties will include but aren't limited too:</p><p>• Partner with business development teams to advance equipment finance transactions, resolve incomplete files, and help drive timely deal closure.</p><p><br></p><p>• Prepare, distribute, track, and maintain finance agreements and supporting records using electronic document platforms for approved transactions.</p><p><br></p><p>• Review executed contracts and funding packages to confirm completeness, accuracy, and compliance with established company policies and controls.</p><p><br></p><p>• Update transaction records in lending and CRM systems to ensure correct billing setup, servicing details, and documentation history.</p><p><br></p><p>• Communicate with customers, vendors, and brokers to address outstanding conditions, clarify agreement terms, and support closing requirements.</p><p><br></p><p>• Conduct welcome calls with new customers to verify key contract details and confirm documentation aligns with approved terms.</p><p><br></p><p>• Perform fraud reviews, due diligence checks, and funding authorization steps while documenting findings thoroughly.</p><p><br></p><p>• Create and issue purchase orders to third-party equipment dealers and provide status updates to internal stakeholders as needed.</p><p><br></p><p>• Contribute to audit readiness, follow internal control procedures, and assist with special projects requested by credit or operations leadership.</p>
We are looking for a Web Analytics Specialist to support digital measurement and insight generation for a healthcare-focused organization in Philadelphia, Pennsylvania. This Long-term Contract role is ideal for a mid-level analyst who combines strong technical capabilities with sharp business judgment, turning complex web data into clear recommendations for cross-functional partners. The person in this position will help shape how marketing, campaign, and paid media performance are measured while contributing to a collaborative, insight-driven team environment.<br><br>Responsibilities:<br>• Design, update, and optimize Power BI dashboards that give stakeholders clear visibility into website, campaign, and funnel performance.<br>• Analyze digital behavior and marketing results to uncover trends, explain performance shifts, and translate findings into practical recommendations.<br>• Develop meaningful measurement frameworks and introduce new KPIs that improve how online engagement and conversion activity are evaluated.<br>• Use website analytics data to answer detailed business questions, including page-level interaction patterns and audience engagement across digital properties.<br>• Work closely with marketing, web, data, and engineering partners to align reporting needs, improve data usability, and support informed decision-making.<br>• Oversee recurring performance reporting while also responding to ad hoc analytical requests tied to evolving business priorities.<br>• Manage multiple stakeholder needs at once, ensuring deadlines are met without losing focus on quality or strategic value.<br>• Query and interpret data within Databricks and collaborate with engineering teams on data accessibility, structure, and analytics readiness.<br>• Support analytics tagging and tracking initiatives through tools such as Tealium and contribute to reporting environments connected to layered data models, including Silver and Gold data assets.
We are looking for a Data Engineer to help build reliable data solutions that support reporting, analytics, and day-to-day business decisions in Princeton, New Jersey. This position focuses on creating scalable data flows, improving platform performance, and organizing data for efficient access across teams. The ideal candidate brings strong technical depth in pipeline development, database technologies, and cloud-based data environments.<br><br>Responsibilities:<br>• Build, enhance, and support scalable ETL workflows that move and transform data from multiple sources into trusted analytical platforms.<br>• Create and refine data models, storage structures, and warehouse solutions to improve accessibility, efficiency, and long-term maintainability.<br>• Monitor data processes to identify issues, strengthen reliability, and maintain high standards for accuracy, consistency, and performance.<br>• Partner with analytics, engineering, and business stakeholders to understand data needs and deliver practical data solutions.<br>• Optimize SQL Server and related data systems to support efficient querying, integration, and operational stability.<br>• Implement and maintain orchestration processes using tools such as Airflow or comparable workflow technologies.<br>• Contribute to cloud-based data infrastructure initiatives across platforms such as Azure and other enterprise cloud environments.
<p>We are looking for a Network Engineer with strong Linux & Kubernetes experience to support the reliability, deployment, and ongoing improvement of software systems in Philadelphia, Pennsylvania. The Linux/Network Support Engineer will support the design, development, implementation, and operation of technical products and systems. The role will focus heavily on deployment automation, continuous integration, cloud infrastructure, production support, monitoring, and containerized environments.</p><p><br></p><p><strong>Biggest Needs</strong></p><ul><li>Strong networking fundamentals and hands-on network troubleshooting skills.</li><li>Strong command of Linux environments.</li><li>Hands-on Kubernetes experience.</li><li>Willingness to participate in an on-call rotation, including nights, weekends, and holidays.</li></ul><p><strong>Key Responsibilities</strong></p><ul><li>Support vCMTS and RPHY turn-ups across the country.</li><li>Perform vCMTS platform stand-up, software installation, and ongoing system and network maintenance.</li><li>Implement changes, including system upgrades, RMAs, risk management, and automation.</li><li>Develop automation scripts using Python, Bash, and similar technologies.</li><li>Identify service-impacting trends and partner with development teams to implement long-term solutions.</li><li>Troubleshoot server hardware, software, systems, and network issues.</li><li>Handle incident mitigation for virtual Cable Modem Termination Systems.</li><li>Partner with regional engineering teams to identify product reliability improvements and build automation tools.</li><li>Work with Product and Project Management to integrate and operationalize new products.</li><li>Build and replace system hardware as needed.</li><li>Participate in an on-call rotation with the rest of the team.</li></ul>