<p>We are seeking a motivated and technically skilled DevOps Engineer to join a growing software development organization. This is an exciting opportunity to play a key role in modernizing infrastructure, improving automation, and supporting the development of new technology initiatives.</p><p><br></p><p>The organization specializes in cloud-based payroll, Human Capital Management (HCM), and workforce management solutions. As the company continues to grow and invest in its technology, this individual will help improve infrastructure, streamline deployment processes, and enhance overall system reliability.</p><p><br></p><p>This role is ideal for someone who enjoys solving technical challenges, building automation, and contributing to infrastructure modernization.</p><p><br></p><ul><li>Design, implement, and maintain CI/CD pipelines using Azure DevOps.</li><li>Automate infrastructure provisioning and management using OpenTofu and other Infrastructure-as-Code tools.</li><li>Help modernize existing deployment processes and transition legacy Jenkins workflows toward more modern solutions.</li><li>Manage and optimize Azure cloud environments.</li><li>Identify opportunities to improve automation, scalability, and operational efficiency.</li><li>Troubleshoot and resolve issues across development, testing, and production environments.</li><li>Maintain monitoring, logging, and alerting systems.</li><li>Support infrastructure security and deployment best practices.</li><li>Collaborate with development, QA, and engineering teams to improve software delivery.</li><li>Identify opportunities to leverage emerging technologies and automation tools.</li></ul>
<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>For our client, we are seeking an experienced Cloud Engineer to design, implement, manage, and optimize cloud infrastructure and services. This individual will support cloud migrations, infrastructure automation, system reliability, and security initiatives while ensuring high availability and performance across enterprise cloud environments.</p>
<p>Overview</p><p>We are seeking a <strong>Senior Cloud & Infrastructure Engineer (Azure)</strong> to lead the design, implementation, and support of secure, scalable, and resilient cloud infrastructure environments. This role is ideal for a hands-on engineer with deep Microsoft Azure expertise and a strong background in production cloud operations, infrastructure reliability, and disaster recovery.</p><p>The Senior Cloud & Infrastructure Engineer will play a key role in building and maintaining modern Azure environments, with a focus on networking, security, identity, backup, and recovery strategies. This individual will collaborate closely with cross-functional teams to ensure cloud platforms are optimized, secure, and aligned with business needs.</p><p>Key Responsibilities</p><ul><li>Design, implement, and support Azure-based infrastructure solutions for production environments</li><li>Manage and optimize cloud infrastructure with a focus on performance, availability, scalability, and security</li><li>Support Azure networking, identity, and security configurations, including private and hybrid connectivity models</li><li>Maintain and enhance backup, recovery, and disaster recovery solutions across cloud infrastructure</li><li>Troubleshoot complex infrastructure and cloud-related issues in production environments</li><li>Partner with application, security, and operations teams to support modern platforms hosted in Azure</li><li>Contribute to infrastructure standards, architecture decisions, and operational best practices</li><li>Implement and support secure cloud designs that align with organizational compliance and security requirements</li><li>Develop and maintain infrastructure automation and repeatable deployment processes where applicable</li><li>Provide technical leadership and guidance on cloud infrastructure strategy and operational excellence</li></ul><p><br></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>We are looking for a Linux/Unix Systems Engineer to serve as the technical authority for a large enterprise Linux environment. This role will lead the design, engineering, modernization, security, and operational support of Red Hat Enterprise Linux (RHEL) and Oracle Linux platforms.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design and maintain enterprise Linux infrastructure including RHEL and Oracle Linux environments.</p><p>· Develop and manage automation and configuration management solutions using Ansible, Ansible Automation Platform, and Red Hat Satellite.</p><p>· Lead operating system lifecycle management, upgrades, and migration initiatives across RHEL platforms.</p><p>· Establish and maintain security hardening standards aligned with CIS Benchmarks, DISA STIGs, FISMA, and NIST 800-53 requirements.</p><p>· Design and test high availability, backup, disaster recovery, and capacity planning solutions.</p><p>· Act as the senior escalation point for complex Linux platform incidents and critical outages.</p><p>· Lead root cause analysis efforts and drive remediation strategies.</p><p>· Mentor junior administrators and provide technical guidance across the team.</p><p>· Participate in architecture reviews, change control boards, and technical planning sessions.</p><p>· Develop and maintain engineering documentation, SOPs, and design standards.</p><p>· Install, configure, monitor, and maintain Linux-based servers and systems.</p><p>· Manage system performance, patching, vulnerability remediation, and compliance activities.</p><p>· Troubleshoot hardware, software, networking, and infrastructure issues.</p><p>· Support scheduled maintenance activities, upgrades, and after-hours incident response as needed.</p>
<p>We are looking for a Data Engineer to build and enhance reporting and data solutions that help teams make informed business decisions across the organization. This role partners with groups such as asset management, acquisitions, accounting, and HR to translate business needs into scalable dashboards, reliable data pipelines, and actionable insights. Based in Los Angeles, California, the position is ideal for someone who combines strong technical depth with the ability to explain findings clearly to a range of stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Create and refine dashboards, reports, and automated data outputs using tools such as Python, Excel, and Power BI to support operational and strategic reporting needs.</p><p>• Examine large and varied datasets to uncover meaningful trends, performance indicators, and opportunities for improvement.</p><p>• Guide and support entry-level BI team members by reviewing work, sharing best practices, and contributing to their career growth.</p><p>• Partner with stakeholders across multiple business functions to define reporting goals, gather technical requirements, and deliver effective data solutions.</p><p>• Translate technical concepts and analytical results into clear recommendations for non-technical audiences.</p><p>• Contribute to cross-department initiatives that improve data availability, reporting consistency, and overall usability of business information.</p><p>• Develop and maintain queries, procedures, and data workflows to support extraction, transformation, and loading activities across reporting environments.</p><p>• Monitor data quality through validation checks, issue resolution, and routine audits to maintain accuracy and reliability.</p><p>• Administer BI platforms with attention to performance, access control, and system stability while assisting users with adoption and training.</p><p><br></p><p>For immediate consideration, apply now and direct message Reid Gormly on LinkedIn</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>Robert Half is seeking an <strong>End Point Engineer</strong> to design, implement, maintain, and secure the enterprise endpoint environment across <strong>Windows, macOS, and iOS</strong> devices. This role will focus on <strong>Microsoft Intune</strong> administration, OS and third-party patching, software packaging and deployment, policy management, configuration baselines, and endpoint security within a regulated financial services environment.</p><p><strong>Responsibilities:</strong></p><ul><li>Manage and support Windows, macOS, and iOS endpoints</li><li>Administer <strong>Microsoft Intune</strong> for device management, compliance, and application deployment</li><li>Oversee <strong>OS lifecycle management</strong>, patching, and upgrades</li><li>Handle <strong>third-party application patching</strong> and software deployments</li><li>Administer <strong>Group Policy (GPO)</strong> and Intune policies</li><li>Maintain endpoint configuration baselines and security controls</li><li>Support endpoint security tooling across on-premises, cloud-managed, and remote environments</li><li>Troubleshoot endpoint issues and drive continuous improvement</li></ul><p><br></p>
<p>We are looking for a commercially driven Strategic Account Executive to grow strategic relationships with leading semiconductor organizations in the United States. This role focuses on identifying where simulation and physics-based AI solutions can create measurable business value, while guiding opportunities from early discovery through successful deal closure. The ideal candidate brings strong consultative selling skills, a solid understanding of AI and design automation within the Semiconductor/ Electronics space, and the ability to work across technical and business stakeholders in complex enterprise environments.</p><p><br></p><p>Responsibilities:</p><p>• Develop and strengthen executive and working-level relationships across a focused group of top semiconductor accounts to uncover high-value opportunities for simulation AI solutions.</p><p>• Drive opportunities through the complete enterprise sales cycle, including needs assessment, solution positioning, commercial discussions, negotiation, and final contract execution.</p><p>• Expand account presence by identifying new business units, use cases, and follow-on opportunities that support long-term revenue growth within existing customers.</p><p>• Collaborate with technical and deployment teams to shape pilots, evaluations, and proof-of-value engagements that align customer objectives with platform capabilities.</p><p>• Maintain a disciplined sales pipeline with clear forecasting, accurate opportunity tracking, and regular updates on account progress and growth potential.</p><p>• Translate customer pain points, market shifts, and competitive activity into practical feedback that informs product direction and go-to-market strategy.</p><p>• Present business cases and value narratives to senior decision-makers, helping customers understand the impact of applied AI in simulation-focused environments.</p><p>• Coordinate internal resources effectively to support complex pursuits and ensure momentum across multiple stakeholders throughout the sales process.</p>
<p>Robert Half is building relationships with experienced Backend Software Engineers interested in potential opportunities supporting financial technology platforms, payment processing systems, and enterprise transaction services.</p><p>We are looking to connect with engineers who understand the challenges of building systems where security, reliability, and transaction accuracy are essential.</p><p>The ideal professional has extensive experience developing Java-based applications, designing distributed systems, and supporting backend services that handle high-volume financial transactions.</p><p>Relevant client projects may include payment processing modernization, transaction reconciliation, API development, and cloud-based financial services infrastructure.</p><p>What You'll Be Responsible For</p><ul><li>Architect, develop, and maintain backend services using Java and the Spring Boot framework.</li><li>Design secure RESTful APIs supporting payment transactions, account services, and third-party financial integrations.</li><li>Develop microservices that process large volumes of transactions while maintaining accuracy and system availability.</li><li>Build event-driven applications using Apache Kafka or comparable messaging platforms.</li><li>Implement transaction idempotency, retry mechanisms, and error-handling strategies to prevent duplicate or inconsistent processing.</li><li>Design and optimize PostgreSQL or other relational databases, including queries, indexes, and transactional operations.</li><li>Support payment settlement, reconciliation, and audit-trail functionality.</li><li>Diagnose performance bottlenecks involving database operations, service communication, and asynchronous workloads.</li><li>Implement authentication, authorization, encryption, and secure coding practices for sensitive financial information.</li><li>Contribute to deployment processes using Docker, Kubernetes, and cloud infrastructure.</li><li>Improve application observability through centralized logging, metrics, distributed tracing, and alerting.</li><li>Collaborate with product owners, security teams, quality engineers, and technical architects on service design and delivery.</li><li>Mentor less experienced engineers, review code, and participate in architectural decision-making.</li></ul><p><br></p>
<p>We are looking for a Data Scientist to join our clients pricing and analytics team. This role is ideal for someone early in their career who combines strong statistical thinking with an interest in insurance economics, especially in areas such as pricing, reserving, and telematics-driven analysis. You will partner closely with senior pricing and actuarial leaders, working across the full analytical lifecycle from raw data exploration to business-facing recommendations. The position offers broad exposure to how insurance performance is measured, explained, and improved through disciplined modeling and clear communication.</p><p><br></p><p>Responsibilities:</p><p>• Perform end-to-end analytical work that supports insurance rate reviews, including data preparation, trend evaluation, loss development analysis, and documentation used for regulatory support.</p><p>• Develop, test, and refine pricing and telematics models using statistical and machine learning techniques, ensuring results are accurate, explainable, and suitable for business use.</p><p>• Assist with reserving analysis by working with loss triangles, development patterns, and ultimate loss estimates that align actuarial findings with financial reporting.</p><p>• Create and maintain recurring performance dashboards and reporting that track key indicators such as loss ratios, claim frequency, claim severity, and cohort behavior.</p><p>• Investigate unusual shifts in portfolio performance, segment results, or customer retention trends, and translate findings into actionable insights for the broader team.</p><p>• Write organized, reusable code and data workflows that support independent analysis while making it easy for others to review and build on your work.</p><p>• Collaborate with pricing and actuarial stakeholders to gradually take ownership of increasingly complex analyses and modeling assignments as your experience grows.</p><p>• Communicate analytical conclusions clearly in written materials and presentations for audiences that need business impact explained without technical detail.</p>
<p>We are seeking a Senior Systems Engineer to join our Infrastructure Team. This role is responsible for the design, implementation, administration, and support of enterprise infrastructure across Windows servers, Microsoft 365, identity management, virtualization, storage, security, and networking.</p><p>The ideal candidate is a well-rounded infrastructure professional who enjoys working across multiple technologies and can contribute to strategic infrastructure initiatives while also providing hands-on operational support. This role will play a key part in upcoming network refreshes, server upgrades, site expansions, security initiatives, Microsoft 365 administration, and ongoing infrastructure modernization efforts.</p><p>Key Responsibilities</p><ul><li>Design, implement, and support enterprise infrastructure solutions across server, cloud, storage, security, and networking platforms.</li><li>Administer and support Microsoft 365 technologies, including Exchange Online, Teams, SharePoint Online, Intune, Entra ID, and Purview.</li><li>Manage and maintain Windows Server environments supporting approximately 200 servers and 2,000 endpoints.</li><li>Support Active Directory, Group Policy, identity management, and access control solutions.</li><li>Participate in enterprise infrastructure projects, including server upgrades, network refreshes, and new site deployments.</li><li>Assist with administration and troubleshooting of virtualization platforms, storage systems, and backup solutions.</li><li>Support infrastructure security initiatives, including endpoint security, EDR/MDR solutions, vulnerability remediation, and security best practices.</li><li>Develop and maintain automation and operational efficiencies using PowerShell.</li><li>Troubleshoot complex infrastructure, systems, and network issues.</li><li>Collaborate with systems, network, security, and application teams to deliver reliable and secure technology services.</li><li>Participate in an on-call rotation after onboarding and training.</li></ul>
<p>We're seeking a hands-on Senior Data Engineer to lead the design, optimization, and evolution of a growing data platform. This role will focus on building scalable data pipelines, improving data quality, optimizing database performance, and supporting enterprise reporting and analytics initiatives. <strong>This role is FULLY ONSITE in Newport Beach, CA</strong></p><p><br></p><p>What You'll Do</p><ul><li>Design and maintain scalable ETL/ELT pipelines</li><li>Optimize PostgreSQL databases and complex SQL workloads</li><li>Lead data migration and integration efforts from legacy systems</li><li>Build data quality, validation, and deduplication processes</li><li>Develop solutions within a cloud data warehouse environment (Snowflake)</li><li>Implement monitoring, alerting, and reliability best practices</li><li>Partner with business and technical stakeholders to deliver trusted data solutions</li></ul><p><br></p>
<p><strong>Data Scientist/Senior Analyst, Search Measurement & Analytics (Contract)</strong></p><p><strong>6 Month Contract </strong>(Potential for Extension or Conversion) </p><p><strong>Location: </strong>Richmond, VA (Remote Potential, Contract only) </p><p><strong>About the Opportunity</strong></p><p>We are seeking a highly analytical professional to join a Marketing Analytics team focused on measuring and optimizing the effectiveness of a large-scale paid search program. This role sits at the intersection of <strong>marketing analytics, business analytics, strategy, and data science</strong>, helping stakeholders answer complex business questions and make data-driven investment decisions.</p><p>This position is ideal for someone who enjoys translating data into actionable recommendations, designing experiments, evaluating marketing effectiveness, and influencing business strategy through analytical insights.</p><p><strong>What You'll Do</strong></p><ul><li>Design and execute incrementality tests, holdout experiments, and pre/post analyses to measure marketing effectiveness.</li><li>Apply statistical methodologies to determine whether observed results are causal or simply correlated.</li><li>Translate ambiguous business questions into structured analyses and actionable recommendations.</li><li>Support budget planning and investment decisions through marketing performance measurement and ROI analysis.</li><li>Build and maintain trusted datasets, reporting frameworks, and analytical models.</li><li>Evaluate campaign performance and identify opportunities for optimization and growth.</li><li>Contribute to channel strategy discussions through data-backed recommendations.</li><li>Validate findings, challenge assumptions, and communicate insights to both technical and non-technical stakeholders.</li><li>Collaborate closely with marketing, analytics, and business teams to influence decision-making.</li></ul><p><br></p>
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.
We are looking for a Software Integration Engineer to help connect industrial imaging hardware with reliable software systems that support modern manufacturing operations in Cambridge, Massachusetts. In this role, you will work across camera technologies, application software, and backend services to ensure image capture and device performance meet production needs. This position offers the chance to contribute to a growing team focused on practical computer vision solutions used in real factory environments.<br><br>Responsibilities:<br>• Build and support camera capture capabilities within production software workflows used in manufacturing environments.<br>• Create and maintain integrations for GenICam-compatible cameras, including work with Basler and related imaging toolkits when applicable.<br>• Investigate and resolve image acquisition problems such as timing inconsistencies, dropped frames, and synchronization failures.<br>• Adjust and fine-tune imaging settings including exposure, gain, trigger behavior, and lighting coordination for different use cases.<br>• Collaborate with software engineers to extend hardware connectivity and improve backend services for image capture and device management.<br>• Assess suitable lenses, optics, and illumination approaches to improve image quality and application performance.<br>• Develop and maintain interfaces between the platform and customer equipment, including industrial control and automation systems.<br>• Support configuration of real-time monitoring and control environments tied to production operations where needed.
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 Data Engineer for a permanent opportunity in Northern, Virginia. In this role, you will design reliable data solutions that support analytics and business decision-making while helping improve the overall data environment. The ideal candidate brings strong technical depth in modern data engineering practices and enjoys building scalable systems from the ground up. <br> Responsibilities: • Design, develop, and maintain robust data pipelines that collect, transform, and deliver high-quality data for reporting and analysis. • Create and optimize data models that support business intelligence, analytics, and operational use cases across the organization. • Build and manage ETL workflows using Python and related technologies to ensure efficient movement of data between systems. • Work with large-scale data processing tools such as Apache Spark and Hadoop to handle complex and high-volume datasets. • Integrate streaming and batch data sources using technologies such as Apache Kafka to support timely and reliable data availability. • Collaborate with analysts, engineers, and business stakeholders to translate data needs into scalable engineering solutions. • Improve data warehouse performance, structure, and reliability to support accurate and accessible enterprise data. • Use dbt and other modern data transformation practices to organize, test, and document datasets effectively.
We are looking for an experienced Sr. Software Engineer to support the design and enhancement of embedded software solutions for advanced voice and audio communication products in New York, New York. This Long-term Contract position focuses on building and maintaining Linux-based applications and platform capabilities for Intel x86 hardware, while contributing to modern user interface development and overall system performance. The ideal candidate brings a strong background in embedded Linux engineering along with hands-on experience across C#, .NET, React.js, JavaScript, and ASP.NET in a collaborative technology environment.<br><br>Responsibilities:<br>• Design, develop, and optimize embedded Linux software for communication devices that support voice and audio functionality.<br>• Build and maintain platform components within Ubuntu Core and customized Linux distributions for Intel x86-based systems.<br>• Create and refine user-facing application features for advanced interfaces, ensuring responsive performance and reliable operation.<br>• Collaborate with cross-functional engineering teams to translate product goals into scalable software solutions.<br>• Troubleshoot software issues across the stack, from operating system integration to application-level behavior.<br>• Implement, test, and improve backend and frontend features using C#, .NET, ASP.NET, JavaScript, and React.js.<br>• Participate in system customization, integration, and ongoing platform enhancements to meet technical and product requirements.
We are looking for a Data Engineer to build and enhance scalable data solutions that support analytics and business decision-making in Jacksonville, Florida. This role focuses on designing reliable warehouse structures, developing efficient data pipelines, and improving data quality across enterprise platforms. The ideal candidate brings strong technical depth in modern data engineering practices and is comfortable partnering with cross-functional teams to deliver well-governed, high-performing data assets.<br><br>Responsibilities:<br>• Design and maintain enterprise data warehouse solutions using dimensional modeling techniques that support reporting, analytics, and long-term scalability.<br>• Develop, orchestrate, and optimize ETL and ELT workflows for batch and near real-time data movement using modern pipeline and scheduling tools.<br>• Build robust data architectures across cloud-based platforms while balancing performance, resilience, and cost efficiency.<br>• Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks, then implement practical fixes that improve reliability and throughput.<br>• Apply governance standards by supporting data quality controls, metadata practices, lineage visibility, and role-based access management.<br>• Partner with business and technical stakeholders to translate data needs into well-structured solutions and provide clear updates on progress, risks, and delivery timelines.<br>• Create efficient code for data transformation and aggregation using Python and advanced query development techniques.<br>• Integrate data from databases, APIs, streaming platforms, and external sources to support a broad range of analytical use cases.<br>• Mentor team members and contribute ideas that streamline processes, reduce friction, and strengthen engineering best practices.
<p><strong>.NET Developer</strong></p><p>We are seeking a talented <strong>.NET Developer</strong> to design, build, and support applications using C# and the Microsoft development stack. This role is ideal for someone who enjoys writing clean code, solving complex problems, and collaborating with cross-functional teams. The ideal candidate will have strong software engineering fundamentals and experience building applications in .NET environments.</p><p><strong>Responsibilities</strong></p><ul><li>Develop applications using .NET Core, .NET Framework, C#, and related Microsoft technologies</li><li>Build APIs, web services, and backend components</li><li>Collaborate with front-end developers, database engineers, and QA teams</li><li>Write clean, maintainable code following best practices and coding standards</li><li>Participate in design sessions, code reviews, and architecture discussions</li><li>Troubleshoot application issues, performance problems, and integration errors</li><li>Deploy applications using CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins)</li><li>Create and maintain technical documentation for applications and services</li><li>Refactor existing codebases for performance, optimization, or modernization</li></ul><p><br></p>
We are looking for a Systems Engineer to support and advance endpoint and cloud operations for a modern enterprise environment in Addison, Illinois. This role focuses on strengthening device management, improving security and compliance, and building reliable standards for Windows and mobile platforms. The position also contributes to day-to-day Azure infrastructure support, partnering with cross-functional teams to resolve issues and maintain stable services.<br><br>Responsibilities:<br>• Lead the administration and optimization of enterprise endpoint management across Windows, iOS, iPadOS, Android, and supported macOS devices.<br>• Design and maintain Microsoft Intune configurations for device enrollment, policy enforcement, compliance controls, and application delivery.<br>• Manage Windows Autopilot deployments to streamline provisioning and create a consistent onboarding experience for end users.<br>• Oversee endpoint patching, software distribution, and lifecycle activities to keep devices secure, current, and aligned with company standards.<br>• Use Tanium and related tools to improve visibility, automate routine operational tasks, and support endpoint health across the environment.<br>• Act as an advanced escalation resource for endpoint-related incidents, working closely with infrastructure, cybersecurity, network, and service desk teams to drive resolution.<br>• Create and refine technical standards, operational procedures, and automation practices that improve consistency and reduce manual effort.<br>• Perform routine Azure infrastructure administration and basic resource provisioning by following established templates and approved support models.<br>• Escalate complex cloud platform issues and architecture-related decisions to senior engineering resources when deeper specialization is required.
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 a forward-deployed software engineer to strengthen customer-facing engineering efforts in King of Prussia, Pennsylvania. This role combines software development, operational support, and analytical problem-solving to improve how internal teams and customers interact with core systems. The ideal candidate brings strong backend engineering experience, a practical approach to automation, and the ability to turn technical challenges into reliable, scalable solutions.<br><br>Responsibilities:<br>• Create and enhance internal applications, scripts, and workflows that improve efficiency for customer-facing and engineering teams.<br>• Oversee the health of live systems, investigate irregular behavior, and address risks before they affect users or business operations.<br>• Examine operational and product data to uncover trends, support decision-making, and recommend meaningful improvements.<br>• Investigate customer-reported technical problems, determine root causes, and deliver timely, effective resolutions.<br>• Develop and release product enhancements driven by customer needs while maintaining quality and system stability.<br>• Partner closely with Customer Success, Sales Engineering, and Engineering to remove obstacles and support high-impact initiatives.<br>• Improve platform reliability and performance through thoughtful debugging, optimization, and ongoing maintenance.<br>• Stay informed on evolving technologies and engineering practices, applying new ideas where they add measurable value.