We are looking for an experienced Data Engineer to join our team in Illinois. This role is suited for a self-directed, technically strong individual who can navigate complex data challenges, influence architectural decisions, and contribute to stronger engineering standards across the team. The ideal candidate brings deep expertise in modern data technologies and a practical approach to building reliable, scalable solutions in a fast-moving environment.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines that support large-volume processing and analytics needs.<br>• Take ownership of complex engineering initiatives from discovery through delivery, making sound technical decisions with minimal oversight.<br>• Develop and optimize distributed data solutions using technologies such as Apache Spark, Hadoop, and Kafka.<br>• Create robust ETL workflows that ensure data quality, consistency, and availability across multiple systems.<br>• Partner with cross-functional teams to define integration approaches, support API connectivity, and enable dependable data exchange.<br>• Improve system performance through testing, troubleshooting, and targeted optimization of data processing workloads.<br>• Contribute to architecture discussions by recommending effective patterns for scalable, maintainable data platforms.<br>• Support the broader engineering team by sharing knowledge, guiding technical best practices, and helping raise overall delivery quality.
<p>We are looking for a Systems Engineer in Tarrytown, New York. This position will play a key role in designing, managing, and improving modern workplace technologies while connecting engineering efforts with day-to-day operational support. The ideal candidate brings strong technical depth across virtual desktop services, identity platforms, endpoint management, and automation, along with the ability to create scalable support practices for a growing user environment.</p>
<p>We are looking for an RF Systems Engineer to contribute to the development of sophisticated radio frequency solutions that support advanced radar and antenna applications in Utah. This position will guide work across design, integration, and validation activities, helping translate technical concepts into reliable hardware performance. The role is well suited to an engineer with deep knowledge of RF and microwave systems who can collaborate across disciplines and solve complex technical challenges throughout the product lifecycle.</p><p><br></p><p>Responsibilities:</p><p>• Architect and refine RF transmit and receive paths, covering frequency generation, signal conversion, filtering, amplification, and high-speed data interface considerations.</p><p>• Evaluate end-to-end RF performance by assessing gain distribution, noise behavior, compression limits, spectral purity, and distortion mechanisms across the system.</p><p>• Lead the initial bring-up and troubleshooting of RF hardware assemblies, resolving issues uncovered during subsystem and platform integration.</p><p>• Execute laboratory and field verification efforts to confirm system functionality, operational performance, and readiness for application-specific use cases.</p><p>• Characterize RF and antenna behavior with standard measurement instrumentation, including network analysis, spectral testing, signal stimulation, and chamber-based evaluations.</p><p>• Interpret measurement data to isolate root causes, recommend corrective actions, and improve design maturity through iterative engineering updates.</p><p>• Create and maintain Python-based tools for automation, simulation support, data reduction, and repeatable test workflows.</p><p>• Partner with systems, electrical, mechanical, firmware, software, and algorithm teams to align design decisions with broader program objectives.</p><p>• Prepare clear technical records such as design summaries, verification documentation, and test findings to support reviews and development milestones.</p><p>• Ensure engineering outputs satisfy applicable performance expectations as well as regulatory, environmental, and reliability standards.</p>
We are looking for a Data Engineer to support healthcare data initiatives for ambulatory operations in Philadelphia, Pennsylvania. This Long-term Contract position will focus on designing and maintaining scalable data pipelines, improving data accessibility, and enabling reliable reporting across clinical and operational environments. The role suits someone who communicates effectively, works well with cross-functional teams, and brings strong experience with modern cloud data platforms and healthcare data systems.<br><br>Responsibilities:<br>• Build and optimize end-to-end data pipelines using Databricks, Snowflake, Azure, and related cloud technologies to support ambulatory operational data needs.<br>• Develop ETL and ELT workflows that ingest, transform, and validate data from healthcare platforms, including Epic Ambulatory and other enterprise sources.<br>• Collaborate with analysts, operational stakeholders, and technical teams to translate business needs into dependable data solutions and well-structured datasets.<br>• Create and maintain data integrations using tools such as Azure Data Factory, Azure Data Lake, Apache Spark, Kafka, Hadoop, and AWS Glue where appropriate.<br>• Ensure data quality, consistency, and performance by monitoring pipeline execution, troubleshooting issues, and implementing scalable engineering practices.<br>• Support the development of a core data engineering function for the team by establishing reusable frameworks, standards, and documentation.<br>• Partner with healthcare and hospital-based stakeholders to deliver data assets that improve operational visibility and decision-making.<br>• Contribute to architecture discussions, code reviews, and process improvements while communicating clearly with both technical and non-technical audiences.
We are looking for an experienced Data Engineer to join a construction and contractor-focused organization in Appleton, Wisconsin. This contract opportunity with potential for a permanent role is ideal for a senior-level candidate who enjoys building scalable cloud-based data platforms, working hands-on with Python and notebook-driven development, and applying AI-enabled tools to create practical business solutions. The role will focus on designing modern data lake capabilities, improving data movement and transformation processes, and partnering with stakeholders to deliver reliable analytics infrastructure.<br><br>Responsibilities:<br>• Design, build, and enhance modern data lake architecture in Google Cloud Platform to support scalable and efficient data operations.<br>• Develop robust data pipelines using Python, SQL, Spark, and ETL frameworks to ingest, transform, and prepare data from multiple sources.<br>• Create and maintain notebook-based solutions that demonstrate clear technical approaches, reusable logic, and well-documented project outcomes.<br>• Integrate large-scale data processing technologies such as Hadoop and Kafka to support high-volume and streaming data workloads.<br>• Collaborate with cross-functional teams to translate business needs into data engineering solutions that improve reporting, analytics, and operational decision-making.<br>• Apply AI-driven tools and approaches to accelerate development, improve solution quality, and deliver innovative customer-focused outcomes.<br>• Support cloud data environments that may include Azure Data Lake and related platforms as part of broader enterprise data initiatives.<br>• Contribute to data platform improvements, including work connected to enterprise tool adoption or internal platform changes when needed.
<p>We are looking for an experienced Systems Engineer to support and strengthen a complex enterprise technology environment in the Willmar, Minnesota area. This position focuses on infrastructure design, platform reliability, security, and long-term modernization across core systems. The ideal candidate brings deep technical knowledge across Microsoft ecosystems, virtualization, and cloud services, along with the ability to improve operational efficiency through automation.</p><p><br></p><p>Responsibilities:</p><p>• Shape and maintain infrastructure standards that support stability, scalability, and secure operations across enterprise systems.</p><p>• Design, administer, and optimize server, virtualization, and network environments to meet performance and availability goals.</p><p>• Lead improvements in cloud-enabled infrastructure, with a focus on Azure-based solutions and practical modernization efforts.</p><p>• Manage core Microsoft technologies, including Active Directory, Windows Server, Microsoft 365, Exchange, SharePoint, and endpoint administration tools.</p><p>• Develop and enhance automation using scripting languages such as PowerShell and Python to streamline recurring operational tasks.</p><p>• Oversee patching, system updates, and platform maintenance activities to reduce risk and maintain compliance.</p><p>• Partner with technical stakeholders to evaluate infrastructure needs, recommend architecture decisions, and implement resilient solutions.</p><p>• Support security-focused engineering practices by strengthening access controls, system hardening, and enterprise platform govern</p>
We are looking for a Data Engineer to join a Contract engagement supporting people analytics and HR-focused data initiatives in Philadelphia, Pennsylvania. This role is centered on designing, building, and refining scalable data pipelines and curated data assets using Azure Databricks and Azure Data Factory. The ideal candidate will be comfortable working hands-on with complex source data, translating business needs into reliable transformations, and delivering production-ready solutions with minimal oversight.<br><br>Responsibilities:<br>• Design, build, and maintain robust ETL and ELT workflows that support HR and workforce data products.<br>• Develop scalable data transformations using Python, SQL, Spark, and Azure Databricks to prepare high-quality datasets for downstream use.<br>• Orchestrate and monitor pipeline execution through Azure Data Factory to ensure dependable and timely data delivery.<br>• Analyze existing source systems and data structures to map requirements and create efficient ingestion and transformation logic.<br>• Partner with stakeholders across HR and analytics teams to turn business questions into practical engineering solutions.<br>• Improve data quality, performance, and reliability by applying modern engineering standards, testing practices, and documentation.<br>• Support integrations across HRIS and related platforms, including contributing to interface development where needed.<br>• Create production-ready datasets that enable reporting, workforce analysis, and broader people data initiatives.
We are looking for an experienced Lead Data Engineer to shape and scale modern data solutions for a growing organization. This role is ideal for a senior, detail-oriented individual who enjoys working in a dynamic environment, contributing both strategically and hands-on across engineering initiatives. The ideal candidate brings strong technical depth in cloud-based data platforms, a practical approach to data architecture, and the ability to guide engineers while partnering effectively with business stakeholders.<br><br>Responsibilities:<br>• Lead the design, development, and maintenance of scalable data pipelines and warehouse solutions using Python, Snowflake, and Azure-based technologies.<br>• Define data architecture standards that improve reliability, usability, and long-term scalability across the data environment.<br>• Drive performance tuning and optimization efforts for data processing workflows, storage structures, and query execution.<br>• Establish and strengthen data quality practices by implementing validation, monitoring, and governance measures across datasets and pipelines.<br>• Serve as a senior technical leader who can step into managerial responsibilities, providing direction, feedback, and support to engineering team members.<br>• Mentor engineers through code reviews, technical coaching, and knowledge sharing to elevate team capability and engineering consistency.<br>• Partner closely with business teams and technical stakeholders to translate operational and analytical needs into effective data solutions.<br>• Contribute hands-on to ETL development and cloud data platform enhancements, with exposure to Databricks considered an advantage.<br>• Act as a key point of coordination between business priorities and technical execution to ensure data initiatives deliver measurable value.
We are looking for an experienced IT Systems Engineer III to support and enhance enterprise infrastructure across both on-premises and cloud environments in Stamford, Connecticut. This role focuses on maintaining reliable compute, network, identity, and security platforms while driving performance, stability, and operational improvements. The ideal candidate brings strong hands-on systems engineering expertise, a proactive troubleshooting mindset, and the ability to collaborate across IT functions to keep critical business services running effectively.<br><br>Responsibilities:<br>• Oversee the deployment, maintenance, and patch management of core infrastructure platforms across the data center and cloud, including VMware, Nutanix, and Microsoft Azure.<br>• Administer Active Directory and related identity services, including organizational structure, policy management, domain services, and access controls.<br>• Manage network infrastructure and connectivity by supporting routers, switches, wireless environments, and internet-facing services while resolving performance and availability issues.<br>• Maintain and secure infrastructure technologies such as firewalls and other protection tools to support a stable and compliant operating environment.<br>• Monitor critical systems and respond quickly to incidents to minimize downtime and maintain consistent service availability across business operations.<br>• Provision, support, and optimize virtual machines in both on-premises and cloud-based environments, with an emphasis on reliability and scalability.<br>• Safeguard enterprise data by maintaining backup operations, validating recovery readiness, and assisting with disaster recovery support for essential systems.<br>• Create and update technical documentation, share knowledge with team members, and contribute to infrastructure automation, alerting, and continuous improvement initiatives.
We are looking for a Data Engineer to support healthcare-focused data initiatives in Bridgewater, New Jersey. This Long-term Contract position is ideal for someone who enjoys building reliable data pipelines, working with large-scale datasets, and improving the flow of information across technical environments. The role will contribute to scalable data solutions that help teams access, process, and analyze critical business data efficiently.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines to collect, transform, and deliver data from multiple sources.<br>• Develop ETL workflows that improve data quality, consistency, and availability for reporting and analytics needs.<br>• Use Python and Apache Spark to process high-volume datasets and optimize performance across data engineering tasks.<br>• Work with Hadoop-based environments to manage distributed data processing and storage effectively.<br>• Integrate streaming and batch data using Apache Kafka to support timely and dependable data movement.<br>• Partner with analysts, developers, and business stakeholders to translate data needs into practical engineering solutions.<br>• Monitor pipeline health, troubleshoot processing issues, and implement improvements that increase reliability and efficiency.
<p>Robert Half Technology is seeking <strong>an experienced Microsoft 365 Systems Engineers</strong> to support a client with Microsoft 365 tenant decommissioning, migration, and cloud infrastructure initiatives.</p><p><br></p><p>The ideal candidates will have strong hands-on experience with Microsoft 365, Microsoft Entra ID (Azure AD), and Exchange Online, along with the ability to independently execute technical projects, troubleshoot complex issues, and manage dependencies across Microsoft cloud environments.</p><p><br></p><p><strong>Location:</strong> Seattle, Washington (100% remote)</p><p><strong>Duration:</strong> Short-term contract</p><p><strong>Pay Rate:</strong> $60-$70/hourly</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Execute Microsoft 365 tenant decommissioning and migration activities, ensuring a smooth transition of services and dependencies.</li><li>Identify, assess, and remove tenant dependencies, including Exchange Online configurations, application registrations, and identity integrations.</li><li>Support Microsoft Entra ID (Azure AD) administration, including user identities, authentication, Single Sign-On (SSO), and enterprise applications.</li><li>Perform Exchange Online migrations, configuration cleanup, and troubleshooting related to mail flow and tenant dependencies.</li><li>Utilize PowerShell to execute administrative tasks, troubleshoot issues, and support automation efforts.</li><li>Identify and resolve technical challenges associated with tenant migrations, decommissioning, and legacy configurations.</li><li>Collaborate with internal technical teams to coordinate project activities and ensure successful execution.</li><li>Document technical changes, migration activities, and troubleshooting procedures.</li></ul>
We are looking for a Cloud Engineer to help build and support resilient cloud infrastructure in Morristown, New Jersey. In this role, you will create automation-first solutions using Terraform and Infrastructure as Code practices to improve scalability, consistency, and security. You will partner with development, DevOps, security, and infrastructure teams to deliver reliable cloud platforms and streamline deployment processes.<br><br>Responsibilities:<br>• Architect, implement, and maintain cloud environments across major platforms such as AWS, Azure, or Google Cloud.<br>• Create and refine reusable Terraform modules and infrastructure code standards to enable consistent provisioning at scale.<br>• Automate infrastructure deployment, system configuration, and operational workflows to reduce manual effort and improve reliability.<br>• Develop and support cloud networking, identity, security, and observability capabilities for enterprise applications.<br>• Work with cross-functional engineering teams to advance CI/CD pipelines and strengthen cloud automation practices.<br>• Investigate and resolve issues affecting infrastructure, cloud services, and application performance.<br>• Apply security controls, governance policies, and compliance measures throughout the cloud environment.<br>• Track platform health, availability, and resource usage to support performance optimization and capacity planning.<br>• Support container-based platforms using technologies such as Kubernetes and Docker.<br>• Produce clear technical documentation, architecture visuals, and operational procedures while contributing to cloud modernization initiatives.
We are looking for an experienced Data Engineer to strengthen and scale an enterprise data environment in California. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building reliable cloud-based data solutions, shaping reporting-ready datasets, and connecting information from diverse business platforms. The role offers meaningful ownership across data modeling, pipeline development, and analytics enablement while working closely with stakeholders in a collaborative setting.<br><br>Responsibilities:<br>• Create and refine scalable data structures that support reporting, analytics, and long-term platform growth.<br>• Develop and maintain curated datasets that are dependable, well-organized, and ready for business intelligence use.<br>• Connect data from multiple enterprise applications and align it into a consistent, usable format.<br>• Build and manage mappings, reference relationships, and cross-system data associations to improve data consistency.<br>• Enhance existing ingestion and transformation workflows to support expanding business and analytics needs.<br>• Strengthen platform stability through better monitoring, testing practices, and operational improvements.<br>• Tune and optimize data processing performance while contributing to ongoing platform enhancements.<br>• Produce clear documentation for lineage, transformation rules, and support procedures to improve maintainability.<br>• Collaborate with business partners to deliver high-confidence data assets that support reporting and decision-making.<br>• Help establish engineering standards, documentation practices, and technical guidelines across the data platform.
We are looking for a Data Engineer to support the design, development, and optimization of modern data solutions in Philadelphia, Pennsylvania. This Long-term Contract position focuses on building reliable pipelines and delivering high-quality data for healthcare and regulatory reporting needs. The ideal candidate brings strong experience with Azure-based data engineering, Python, SQL, and large-scale data processing, with the ability to work across complex clinical and patient-quality datasets.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines that ingest, transform, and deliver data from clinical and operational sources for analytics and reporting.<br>• Develop data engineering solutions using Azure services, Databricks, Spark, and Python to improve performance, reliability, and maintainability.<br>• Work with healthcare-related datasets, including patient quality measures, readmissions, vital sign information, and other clinical reporting domains.<br>• Explore and interpret Epic Clarity tables to identify relevant source data and support accurate downstream consumption.<br>• Build and optimize ETL workflows that move data across platforms while preserving data integrity and compliance expectations.<br>• Partner with analysts, reporting teams, and external stakeholders to provide data needed for quality metrics and regulatory submissions.<br>• Implement data validation and monitoring processes to ensure completeness, consistency, and accuracy across critical datasets.<br>• Support file-based data exchange and integration processes, including secure FTP-based transfers where required.
<p>We are looking for a Staff Data Engineer to shape the direction of enterprise data platforms in Brookfield, Wisconsin. In this role, you will guide technical decisions, partner with engineering and leadership teams, and build scalable solutions across hybrid environments. This position focuses on delivering secure, high-performing data capabilities that support both internal operations and client-facing data products while maintaining strong governance and privacy standards. <strong><em>Health care industry experience is strongly desired. </em></strong></p><p><br></p><p>Responsibilities:</p><p>• Provide senior technical guidance on data platform architecture, serving as a key advisor to engineering partners and business leaders.</p><p>• Design and evolve scalable frameworks for ingesting, transforming, storing, and governing high-value data across warehouse and lakehouse environments.</p><p>• Lead delivery of complex data initiatives by aligning project scope, coordinating contributors, and communicating progress, risks, and outcomes to stakeholders.</p><p>• Establish and uphold data governance, lineage, auditability, and stewardship practices, including administration of cataloging capabilities that improve visibility and control.</p><p>• Develop and enforce data security standards, including least-privilege access models and protections for sensitive and de-identified healthcare information.</p><p>• Architect and optimize robust batch, streaming, and event-driven pipelines that improve reliability, resilience, and processing efficiency at enterprise scale.</p><p>• Build and enhance cloud-based data solutions using Databricks, Delta Live Tables, Python, Scala, and ETL technologies to support diverse structured and unstructured datasets.</p><p>• Create and maintain infrastructure as code with Terraform and related deployment assets to strengthen platform consistency, scalability, and operational efficiency.</p><p>• Develop APIs and integration patterns that connect internal platforms and external systems, enabling dependable data exchange with third-party applications and client solutions.</p><p>• Monitor platform performance, manage pipeline health, and partner with the business on cost-conscious designs that balance transparency, value, and long-term sustainability.</p>
We are looking for a Senior Data Engineer to strengthen our data foundation and help deliver reliable, scalable information solutions across Minneapolis, Minnesota. In this role, you will create and optimize modern data platforms that power analytics, reporting, and machine learning initiatives. You will collaborate with technical and business partners to turn complex source data into trusted, accessible assets that support better decisions across the organization.<br><br>Responsibilities:<br>• Build and maintain scalable data pipelines that ingest, transform, and deliver information from a variety of enterprise and operational data sources.<br>• Design data models and warehouse structures that improve reporting performance, support analytics use cases, and enable long-term scalability.<br>• Develop and orchestrate ETL and ELT workflows using cloud-based and workflow automation tools to ensure dependable data movement across systems.<br>• Create batch and near-real-time processing solutions that provide timely, accurate datasets for downstream applications and analytical teams.<br>• Write efficient, well-structured Python and SQL code to cleanse, transform, and validate large and complex datasets.<br>• Monitor pipeline health, investigate failures, and tune jobs for reliability, cost control, and overall platform performance.<br>• Establish data quality checks, testing routines, and governance practices to maintain consistency, integrity, and compliance across the data environment.<br>• Partner with architects, analysts, data scientists, AI/ML engineers, and DevOps teams to support production-ready data products, automated deployments, and reproducible machine learning workflows.
<p>Senior Technical Recruiter (Contract – Remote)</p><p><strong>Robert Half's client</strong>, an innovative technology company, is seeking an experienced <strong>Technical Recruiter</strong> to support its growing talent acquisition needs on an initial 4-month contract, with the possibility of extension. This individual will partner directly with technical leadership to drive full-cycle recruiting efforts, with a primary focus on identifying and hiring top-tier Product Managers and AI Engineers.</p><p>The ideal candidate will bring 7+ years of technical recruiting experience within SaaS or technology-driven organizations, with a proven ability to manage multiple requisitions simultaneously and deliver results in a fast-paced environment. This person will oversee approximately 5–10 open requisitions at a time and serve as a strategic recruiting partner to technical leaders, providing guidance throughout the hiring process.</p><p>This is a hands-on recruiting opportunity for someone who is an excellent communicator, highly skilled in sourcing, and comfortable independently managing the full recruitment lifecycle from initial candidate identification through offer and close.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Manage full-cycle technical recruiting efforts for approximately 5–10 open requisitions simultaneously.</li><li>Recruit for specialized technical positions, with an emphasis on Product Managers and AI Engineers.</li><li>Partner directly with technical leaders and hiring managers to understand hiring needs, technical requirements, and ideal candidate profiles.</li><li>Develop and execute targeted sourcing strategies to identify, attract, and engage qualified technical talent, including passive candidates.</li><li>Conduct initial candidate screenings to evaluate technical experience, qualifications, communication skills, and overall fit.</li><li>Manage the entire recruitment lifecycle, from sourcing and outreach through interview coordination, candidate evaluation, offer negotiation, and placement.</li><li>Build and maintain strong candidate pipelines to support current and anticipated hiring needs.</li><li>Provide consistent communication and updates to hiring managers regarding candidate pipelines, recruiting progress, and market insights.</li><li>Facilitate interview processes and maintain a positive candidate experience throughout the hiring lifecycle.</li><li>Proactively identify recruiting challenges and recommend solutions to keep searches moving forward.</li></ul>
We are looking for an experienced Systems Engineer to support and strengthen a large-scale backup environment in Utah. This contract position is ideal for someone who is detail oriented and can bring structure, stability, and technical leadership to day-to-day backup operations while improving the overall reliability of data protection services. The role focuses on hands-on administration of Commvault and related enterprise backup technologies, with an emphasis on reducing operational risk through stronger processes, cleaner configurations, and well-maintained documentation.<br><br>Responsibilities:<br>• Oversee the daily administration, monitoring, and support of the existing Commvault backup platform to maintain dependable system performance.<br>• Identify operational weaknesses within the backup environment and implement practical improvements that increase consistency and service reliability.<br>• Review current configurations, policies, and job activity to resolve inefficiencies, strengthen protection coverage, and improve backup success rates.<br>• Create and refine technical documentation, operating procedures, and support guidelines to establish a more organized and sustainable backup practice.<br>• Troubleshoot backup failures, restore issues, and platform-related incidents, driving timely resolution and minimizing disruption to the business.<br>• Partner with internal stakeholders to promote stronger operational standards and provide guidance on enterprise backup best practices.<br>• Assess areas of risk across the data protection environment and recommend corrective actions that improve readiness for future platform changes or migration efforts.<br>• Support compliance-focused backup operations by aligning processes with data protection requirements such as GDPR where applicable.
We are looking for an experienced Principal Engineer to guide advanced testing and compliance efforts for utility-scale renewable energy systems in Boxborough, Massachusetts. This role will provide technical direction across validation programs for solar photovoltaic equipment, battery energy storage solutions, and associated electrical systems while partnering with clients and internal teams to ensure regulatory alignment. The ideal candidate brings strong engineering judgment, hands-on testing expertise, and the ability to translate complex standards into practical, project-ready solutions.<br><br>Responsibilities:<br>• Direct comprehensive testing, verification, and system integration activities for large-scale solar, energy storage, and electrical products.<br>• Create, evaluate, and authorize detailed test protocols, execution methods, and formal engineering documentation.<br>• Apply relevant domestic and international codes and standards to determine compliance pathways and certification requirements.<br>• Analyze test results, recognize performance patterns, and recommend technical actions to improve quality and readiness.<br>• Conduct or support on-site inspections and operational assessments of photovoltaic and energy storage installations.<br>• Advise customers and cross-functional engineering groups on compliance expectations, technical risks, and validation strategies.<br>• Oversee project timelines, resource coordination, and stakeholder communication to keep testing programs on track.<br>• Contribute to accreditation activities and uphold quality practices that support reliable and defensible test outcomes.<br>• Act as a senior technical reference for standards interpretation, product evaluation, and certification-related decisions.
We are looking for an experienced Azure platform engineering specialist to support enterprise-scale cloud capabilities. This long-term contract position focuses on shaping, enhancing, and sustaining Azure platform services that enable business-critical applications and technology initiatives. The role calls for a hands-on engineer who can work independently, partner with cross-functional teams, and deliver reliable, secure, and scalable Azure solutions across a broad technical landscape.<br><br>Responsibilities:<br>• Architect, implement, and support Azure platform services that meet enterprise application and infrastructure needs.<br>• Build and enhance Azure environments spanning network connectivity, gateway services, security controls, and container-based platforms.<br>• Develop and maintain Azure management capabilities to improve governance, consistency, and operational efficiency.<br>• Establish and support CI/CD workflows, DevOps practices, and repository standards to streamline platform delivery.<br>• Configure and optimize Azure monitoring solutions to strengthen availability, performance visibility, and incident response.<br>• Contribute to Azure AI and data platform initiatives, including support for modern AI-driven and data-centric services.<br>• Evaluate existing Azure implementations and introduce improvements that raise performance, stability, and functionality.<br>• Translate technical and business objectives into practical Azure platform designs and implementation plans.<br>• Partner with application, infrastructure, and security teams to resolve complex platform issues and support ongoing product delivery.
<p>We are looking for a Data Engineer to join a Chemicals Manufacturing organization in New Jersey in a contract-to-permanent capacity. This role focuses on creating reliable, secure, and scalable data solutions that connect operational and business systems to enterprise reporting, analytics, and advanced data use cases. The position will work across IT and operational environments to support trusted data delivery for functions such as finance, supply chain, operations, commercial teams, and corporate analytics.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain large-scale data pipelines that move information from enterprise and operational source systems into structured data layers for analytics and reporting.</p><p>• Develop curated and semantic data models that support business intelligence platforms, downstream applications, and data-driven decision-making across the organization.</p><p>• Connect manufacturing and operational technology data sources using approved integration methods while coordinating with plant and controls teams to protect system reliability and safety.</p><p>• Establish data quality standards through validation rules, automated testing, and monitoring processes that improve accuracy, completeness, and timeliness of delivered datasets.</p><p>• Implement observability practices such as lineage tracking, alerting, and operational runbooks to strengthen support processes and reduce production issues.</p><p>• Apply security and governance controls including access management, secrets handling, data classification, and retention practices aligned with enterprise policies.</p><p>• Automate deployment workflows with Git-based CI/CD processes to promote consistent releases across environments and improve delivery reliability.</p><p>• Tune platform performance and resource usage by optimizing processing strategies, scaling approaches, and storage patterns to balance speed and cost.</p><p>• Partner with BI, data, and IT stakeholders to define data contracts, document solutions, and provide operational knowledge transfer to internal teams and external partners.</p><p><br></p><p><br></p><p>02710-0013476075</p><p><br></p>
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.
We are looking for a Data Engineer to support analytics and data product development for a healthcare-focused team in Florida. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building scalable reporting solutions, creating modern data products, and improving how business users access insights. The role combines hands-on dashboard development with engineering work in Databricks, helping expand advanced analytics capabilities across a lakehouse-based environment.<br><br>Responsibilities:<br>• Design and deliver interactive dashboards and reporting solutions that support business decision-making across the analytics function.<br>• Build and enhance data products within Databricks to provide reliable, user-friendly access to operational and analytical insights.<br>• Develop and maintain ETL pipelines using Python, Apache Spark, and Azure-based data services to prepare data for reporting and analysis.<br>• Create scalable data models and curated datasets in Azure Data Lake and related platforms to support self-service analytics.<br>• Contribute to AI-enabled business intelligence solutions using Databricks tools and lakehouse technologies.<br>• Partner with analytics stakeholders to translate reporting needs into technical solutions that are accurate, efficient, and maintainable.<br>• Support the evolution of reporting assets, including work associated with shifting Power BI-based reporting into Databricks environments.<br>• Monitor data quality, troubleshoot reporting issues, and optimize performance across dashboards, pipelines, and data assets.
We are looking for a hands-on Network Engineer to support pharmaceutical operations in Bridgewater, New Jersey. This Long-term Contract position is fully on-site and focuses on diagnosing network issues, restoring service quickly, and assisting with infrastructure rollouts across nearby facilities. The role is ideal for someone who is comfortable working directly with network hardware, collaborating with site teams, and maintaining stable connectivity in a fast-paced environment.<br><br>Responsibilities:<br>• Resolve day-to-day network incidents by identifying root causes, repairing connectivity problems, and restoring normal operations across the primary site.<br>• Configure, maintain, and troubleshoot Palo Alto firewalls, including policy updates, performance checks, and issue resolution in production environments.<br>• Support Cisco switching infrastructure through configuration changes, trunk setup, software upgrades, and troubleshooting of switching-related problems.<br>• Assist with SD-WAN environments, including diagnosing issues and supporting platforms such as Cisco SD-WAN or Meraki SD-WAN.<br>• Maintain and troubleshoot Aruba wireless networks to help ensure dependable coverage and performance for business operations.<br>• Provide network support for two nearby facilities as needed, including occasional local travel to assist with technical issues or planned work.<br>• Contribute to deployment activities, which may include after-hours or weekend support during implementation windows.<br>• Handle physical installation and movement of network equipment, including tasks that require lifting hardware up to 50 pounds.
<p><strong><u>Job Description</u></strong></p><p><br></p><p><strong>Job Purpose: </strong></p><p>Provides configuration and support for Windows, other server operating systems, and storage in highly virtualized on-premise data centers as well as in the cloud. Ensures code patches are up to date in order to deliver stable and secure operations. Supports project delivery in areas of strong knowledge and places high priority on learning more. May participate in on-call rotations related to critical services in multiple countries.</p><p> </p><p><strong>Responsibilities:</strong></p><ul><li>Provides operational support for server and storage components and services with assistance from more senior engineers in critical and/or complex situations. Examples include servers, storage systems, email solutions, and intranet solutions. (35%)</li><li>Performs routine server and storage hardware and software configuration for projects, and limited programming to meet client and project requirements. (35%)</li><li>Investigate Security Alerts and triage for case closure as they are escalated. (15%)</li><li>Creates and maintains technical documentation, asset inventories and configuration information. (7.5%)</li><li>Seeks and leverages opportunities to expand knowledge and skill base (7.5%)</li></ul><p><strong>Working Conditions:</strong></p><ul><li>Consistent non-standard work or overtime as business requires.</li><li>On-call availability required as necessary.</li><li>Professional, office environment.</li><li>Some travel required.</li></ul><p><br></p><p><br></p>