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278 results for Cybersecurity Engineer jobs
- Nashville, TN
- onsite
- Temporary / Contract
- 62 - 71 USD / Hourly
- <p>Robert Half is seeking a <strong>Contract Data Engineer</strong> to support our client’s data and analytics initiatives. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable efficient data ingestion, transformation, and delivery. The ideal candidate has strong experience working with modern data platforms, cloud environments, and large-scale datasets.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li><strong>Data Pipeline Development:</strong> Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li><strong>Data Architecture:</strong> Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li><strong>Cloud Data Platforms:</strong> Work within cloud environments such as <strong>AWS, Azure, or GCP</strong> to deploy and manage data solutions.</li><li><strong>Data Warehousing:</strong> Design and support enterprise data warehouses using platforms such as <strong>Snowflake, Redshift, BigQuery, or Azure Synapse</strong>.</li><li><strong>Big Data Processing:</strong> Develop solutions using big data technologies such as <strong>Spark, Databricks, Kafka, and Hadoop</strong> when required.</li><li><strong>Performance Optimization:</strong> Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li><strong>Data Quality & Reliability:</strong> Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li><strong>Collaboration:</strong> Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li><strong>Documentation:</strong> Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul><p><br></p>
- 2026-11-03T00:00:00Z
- Appleton, WI
- onsite
- Temporary to Hire
- 57 - 70 USD / Hourly
- 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.
- 2026-10-30T00:00:00Z
- Brookfield, WI
- onsite
- Permanent / Full Time
- 100000 - 130000 USD / Yearly
- We are looking for a Data Engineer to help shape and expand a cloud-focused data environment that supports analytics, operational reporting, automation, and emerging AI use cases. Based in Brookfield, Wisconsin, this position works across technical and business teams to deliver dependable data solutions that improve access, accuracy, and usability. The role is ideal for someone who thrives on translating complex data needs into scalable engineering outcomes and values collaboration, problem-solving, and continuous improvement.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines that move and transform information for analytics, reporting, and operational needs.<br>• Partner with business stakeholders, analysts, software developers, and leaders to understand data requirements and turn them into reliable engineering solutions.<br>• Develop and refine data models and platform architecture to support performance, flexibility, and long-term growth.<br>• Implement ETL processes that integrate data from multiple sources while improving consistency, completeness, and accessibility.<br>• Use Python and distributed data technologies such as Apache Spark and Hadoop to process large and complex datasets efficiently.<br>• Support streaming and event-driven data workflows using tools such as Apache Kafka where real-time data delivery is needed.<br>• Monitor data quality, troubleshoot pipeline issues, and optimize workflows to ensure dependable delivery and strong system performance.<br>• Contribute to ongoing enhancements of the data platform by identifying opportunities to improve scalability, automation, and engineering standards.
- 2026-11-12T00:00:00Z
- Saint Petersburg, FL
- onsite
- Temporary to Hire
- 57 - 66 USD / Hourly
- 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.
- 2026-10-28T00:00:00Z
- Philadelphia, PA
- remote
- Temporary / Contract
- 0 - 0 USD / Yearly
- 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.
- 2026-11-12T00:00:00Z
- Philadelphia, PA
- remote
- Temporary / Contract
- 0 - 0 USD / Yearly
- We are looking for an experienced Data Engineer to support the design and delivery of scalable data solutions within the People and HR data domain in Philadelphia, Pennsylvania. This Long-term Contract position is ideal for someone who can step into an existing environment, learn source systems quickly, and build reliable data pipelines that support reporting and business analysis. The role centers on hands-on development using Azure Databricks, Spark, and Azure Data Factory, with an emphasis on creating production-ready data assets. Experience working with HR data and workforce-related systems will be highly valuable in helping translate business needs into dependable engineering solutions.<br><br>Responsibilities:<br>• Design, build, and maintain data pipelines that ingest, transform, and prepare HR and workforce data for downstream analytics and reporting.<br>• Develop scalable data processing solutions using Azure Databricks, Python, Spark, and SQL to support production-grade data products.<br>• Orchestrate and monitor data workflows through Azure Data Factory to ensure timely, accurate, and resilient data movement.<br>• Analyze existing data sources and business requirements to create efficient transformation logic and structured datasets.<br>• Collaborate with stakeholders across technical and functional teams to align data engineering deliverables with HR reporting and operational needs.<br>• Improve data quality, performance, and reliability by applying sound ETL practices, validation checks, and optimization techniques.<br>• Support integration efforts involving HR systems and related interfaces, including work connected to evolving source platforms when needed.<br>• Contribute to documentation, technical standards, and knowledge sharing to support maintainability and long-term solution success.
- 2026-11-12T00:00:00Z
- Philadelphia, PA
- remote
- Temporary / Contract
- 0 - 0 USD / Yearly
- 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.
- 2026-11-12T00:00:00Z
- Chicago, IL
- onsite
- Permanent / Full Time
- 180000 - 200000 USD / Yearly
- We are looking for a Data Engineer to help build and maintain scalable data solutions that support critical business operations within the brokerage industry. This role is based in Chicago, Illinois, and focuses on designing reliable data pipelines, improving data accessibility, and enabling efficient processing across large datasets. The ideal candidate brings strong technical expertise in modern data engineering tools and enjoys working in a fast-paced environment where data quality, performance, and consistency are essential.<br><br>Responsibilities:<br>• Design, develop, and optimize data pipelines that support ingestion, transformation, and delivery of large-scale datasets.<br>• Build and maintain ETL workflows to ensure accurate, timely, and dependable movement of data across platforms.<br>• Use Python and Apache Spark to process complex data efficiently and improve overall pipeline performance.<br>• Work with Apache Hadoop technologies to manage distributed data storage and computation for high-volume workloads.<br>• Implement streaming and messaging solutions with Apache Kafka to support near-real-time data integration needs.<br>• Partner with cross-functional teams to understand data requirements and translate business needs into technical solutions.<br>• Monitor data processes, troubleshoot issues, and resolve bottlenecks to maintain system reliability and data integrity.<br>• Contribute to enhancements involving data platform changes or internal process updates as part of ongoing engineering initiatives.
- 2026-11-09T00:00:00Z
- Minneapolis, MN
- onsite
- Permanent / Full Time
- 180000 - 250000 USD / Yearly
- <p>We’re hiring a hands-on Staff Software Engineer to lead development in a critical area of AI-enabled product infrastructure. In this role, you will build and evolve the systems that determine what AI-powered experiences can access, use, and reference in real time. This work is central to ensuring outputs are accurate, timely, secure, and grounded in the right information.</p><p><br></p><p>You will focus on designing and improving retrieval and context systems that support intelligent applications operating in complex, high-trust environments. That includes helping systems identify the right content, manage changing information, and enforce strict access boundaries. You’ll work primarily in Python and collaborate closely with cross-functional partners in product, data, and engineering.</p><p>This is a highly hands-on role for someone who wants to directly influence the architecture, quality, and safety of AI-driven capabilities.</p><p><br></p><p>What You’ll Do</p><ul><li>Lead the design and improvement of retrieval systems that support AI-powered workflows in production environments</li><li>Ensure application outputs are grounded in the right source material, with the appropriate balance of quality, performance, and cost</li><li>Build systems that can process and reason over large volumes of unstructured and structured content</li><li>Develop search and context tools that surface trustworthy source excerpts, references, and relevant content locations</li><li>Maintain alignment between what AI systems can access and what end users are authorized to view</li><li>Help define when AI-generated outputs can be delivered directly and when additional validation or product controls are required</li><li>Influence technical direction across teams and mentor engineers working in adjacent problem spaces</li></ul><p><br></p>
- 2026-11-03T00:00:00Z
- Lindon, UT
- onsite
- Permanent / Full Time
- 130000 - 145000 USD / Yearly
- <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>
- 2026-11-11T00:00:00Z
- Towson, MD
- onsite
- Temporary / Contract
- 39.5865 - 45.837 USD / Hourly
- We are looking for a Deployment Engineer to support endpoint deployment, software distribution, and device lifecycle activities for a construction-focused organization in Towson, Maryland. This Long-term Contract position is ideal for someone who enjoys hands-on Windows endpoint administration, improving device reliability, and helping maintain a secure and well-managed desktop environment. The role will work closely with enterprise tools for provisioning, application control, patching, and endpoint monitoring in a detail-oriented onsite setting.<br><br>Responsibilities:<br>• Manage the packaging, testing, and release of software to user devices across the organization.<br>• Coordinate workstation setup activities, including provisioning, imaging, and deployment of Windows endpoints.<br>• Monitor device performance and endpoint health, then investigate and resolve operational issues affecting end users.<br>• Apply security updates and assist with remediation efforts to address vulnerabilities on managed systems.<br>• Review and adjust PowerShell-based templates or existing scripts to support deployment and remediation tasks.<br>• Administer application control settings and update related policies to align with operational and security needs.<br>• Maintain and refine desktop images to support consistent device builds and deployment standards.<br>• Support Windows endpoint administration through enterprise management platforms such as Ivanti, Neurons, or comparable tools.<br>• Provide regular status updates on deployment activities, rollout progress, and endpoint-related issues.
- 2026-10-26T00:00:00Z
- Reading, PA
- onsite
- Temporary / Contract
- 24 - 26 USD / Hourly
- <p>We are looking for an IT Field Technician to support device rollout across multiple locations in the Greater Philadelphia Region. This role focuses on preparing, configuring, and distributing a range of hardware while helping maintain a smooth deployment experience across the organization. The ideal candidate is comfortable working with multiple operating environments, providing clear progress updates, and resolving technical issues tied to network devices and PCs. </p><p>Responsibilities:</p><p>• Configure, stage, and deploy security systems, network devices and laptops</p><p>• Perform device imaging, software installation, and account setup to ensure equipment is ready for immediate business use.</p><p>• Coordinate with internal teams to manage user provisioning and access through Active Directory.</p><p>• Install and validate required business and medical software on assigned devices, confirming proper functionality before release.</p><p>• Track deployment progress and communicate timely status updates to stakeholders, team members, and project leads.</p><p>• Use established deployment tools to streamline setup, configuration, and asset readiness processes.</p><p>• Document deployment activities, issue resolutions, and inventory details to maintain accurate project records.</p>
- 2026-10-15T00:00:00Z
- New Holland, PA
- onsite
- Permanent / Full Time
- 175000 - 190000 USD / Yearly
- We are looking for an Automation Engineer to support industrial technology systems in New Holland, Pennsylvania. This position focuses on building reliable connections between plant operations and enterprise platforms while helping teams maintain secure, high-performing OT environments. The role also works closely with operational and technical stakeholders to strengthen system architecture, improve support processes, and uphold cybersecurity standards across the facility.<br><br>Responsibilities:<br>• Design and deploy automation and operational technology solutions that enable dependable system performance and effective data exchange across plant and enterprise environments.<br>• Partner with production, engineering, and IT teams to align shop-floor control systems with broader infrastructure and business applications.<br>• Review and confirm industrial architecture plans to ensure technical soundness, scalability, and compliance with organizational standards.<br>• Establish and maintain connectivity between manufacturing automation platforms and company systems used for reporting, monitoring, and data sharing.<br>• Support site teams in sustaining OT equipment and software by promoting preventive maintenance and resolving performance issues.<br>• Guide troubleshooting efforts for operational technology incidents and help drive timely corrective actions to minimize disruption.<br>• Apply and maintain cybersecurity controls that reduce risk to plant systems and strengthen protection against operational threats.<br>• Execute remediation activities identified through security reviews, assessments, and audit findings within OT environments.<br>• Enforce industrial cybersecurity policies and site procedures to ensure operational technology systems remain compliant and secure.
- 2026-10-27T00:00:00Z
- Alexandria, VA
- onsite
- Temporary / Contract
- 60 - 68 USD / Hourly
- <p>IPv6 SME / Senior Network Engineer</p><p><strong>Location:</strong> Alexandria, VA (onsite)</p><p><strong>Clearance Requirement:</strong> Ability to Obtain/Maintain Public Trust</p><p><strong>Employment Type:</strong> Part-Time (Approximately 20 Hours per Week)</p><p>Overview</p><p>We are seeking an experienced <strong>IPv6 Subject Matter Expert (SME) / Senior Network Engineer</strong> to support a federal government network modernization initiative in Washington, DC. This individual will serve as the technical lead for IPv6 architecture, implementation, integration, and adoption across a complex enterprise environment.</p><p>The ideal candidate brings deep expertise in enterprise networking, network architecture, and IPv6 migration strategies, with the ability to advise stakeholders, lead technical discussions, develop implementation plans, and drive modernization efforts. This role requires a hands-on engineer who can operate independently while partnering with technical teams and senior leadership.</p><p>Responsibilities</p><ul><li>Lead the planning, design, implementation, and expansion of IPv6 capabilities within a large enterprise environment.</li><li>Develop IPv6 architecture strategies, addressing plans, migration roadmaps, and implementation approaches.</li><li>Design, implement, and troubleshoot enterprise-scale network infrastructure supporting both IPv4 and IPv6 environments.</li><li>Create and maintain high-level and low-level design documentation, network diagrams, implementation plans, and technical standards.</li><li>Conduct network assessments, gap analyses, root cause analyses, and technical risk evaluations.</li><li>Support network modernization initiatives, including cloud, data center, LAN/WAN, remote access, and internet-facing environments.</li><li>Collaborate with infrastructure, security, and operations teams to integrate IPv6 into enterprise services and platforms.</li><li>Provide technical leadership during architecture reviews, troubleshooting efforts, and strategic planning sessions.</li><li>Communicate technical recommendations and project status to senior stakeholders and agency leadership.</li><li>Support Zero Trust architecture initiatives and enterprise security improvements.</li><li>Mentor technical team members and provide guidance on networking best practices.</li></ul>
- 2026-11-09T00:00:00Z
- Tacoma, WA
- remote
- Temporary / Contract
- 60 - 65 USD / Hourly
- <p>Robert Half is seeking an experienced <strong>Power BI Developer / Reporting Analyst</strong> to support a growing reporting and analytics function for an established organization in the manufacturing, distribution, and supply chain industry. The company is looking for a seasoned Power BI professional to elevate its analytics environment, streamline reporting processes, and help drive the future of business intelligence through hands-on work in reporting, data modeling, and automation.</p><p><br></p><p><strong>Location:</strong> 100% remote</p><p><strong>Duration:</strong> 6 months</p><p><strong>Schedule:</strong> Monday-Friday; Flexible PDT hours</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Design and maintain interactive Power BI dashboards and reports that help business teams monitor performance and make informed decisions.</li><li>Develop data models, calculations, and visualizations using DAX and other BI best practices to deliver accurate and meaningful insights.</li><li>Build and support data pipelines using Azure Data Factory to collect, transform, and organize information from multiple sources.</li><li>Partner with stakeholders across operational and business functions to gather reporting needs and translate them into practical analytics solutions.</li><li>Analyze data related to distribution, logistics, or supply chain activities to identify trends, issues, and opportunities for improvement.</li><li>Ensure reporting assets are reliable, easy to use, and aligned with established data quality and governance expectations.</li><li>Document reporting logic, data definitions, and development processes to support long-term usability and knowledge sharing.</li></ul>
- 2026-11-09T00:00:00Z
- Minneapolis, MN
- onsite
- Permanent / Full Time
- 115000 - 144000 USD / Yearly
- 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.
- 2026-11-04T00:00:00Z
- Newport Beach, CA
- onsite
- Temporary / Contract
- 55 - 60 USD / Hourly
- <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>
- 2026-11-07T00:00:00Z
- Salt Lake City, UT
- onsite
- Temporary to Hire
- 65 - 72 USD / Hourly
- <p>We are looking for a Senior Software Developer to join a contract opportunity with the potential for a permanent hybrid position in Salt Lake City, Utah. This position is ideal for an experienced backend engineer who enjoys solving complex problems in voice and audio-driven systems and can contribute across architecture, development, and production troubleshooting. The role focuses on building reliable Linux-based services, working with VoIP and streaming audio workflows, and using AI-assisted development tools to plan, implement, and validate high-quality solutions.</p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and support backend services that power audio capture and processing capabilities in a Linux environment.</p><p>• Investigate VoIP packet flows and call signaling behavior to ensure audio streams are identified, routed, and associated correctly.</p><p>• Diagnose audio quality or delivery issues across varied emergency communications configurations and implement durable fixes.</p><p>• Translate technical requirements into scalable service designs that address integrations, system security, and long-term maintainability.</p><p>• Use AI-assisted development tools to outline features, decompose work into actionable tasks, and strengthen code quality through testing and review.</p><p>• Build and refine software components involved in audio streaming, network communication, and service reliability.</p><p>• Collaborate with cross-functional stakeholders to improve backend architecture and support the successful delivery of production-ready solutions.</p><p>• Provide technical guidance to other developers and contribute to a thoughtful, growth-oriented engineering culture.</p>
- 2026-11-12T00:00:00Z
- Des Moines, IA
- onsite
- Permanent / Full Time
- 120000 - 130000 USD / Yearly
- <p>Senior Network Engineer – Hybrid | Des Moines, IA</p><p>Direct Hire | FTE | Salary up to $130K*** IMMEDIATE INTERVIEW***</p><p>No sponsorship and cannot hire C2C, no H1B. ONLY EAD, Green Card, or US Citizen</p><p>Our client is seeking a Senior Network Engineer to design, implement, support, and optimize enterprise network infrastructure in a complex hybrid environment. This is a hands-on engineering role focused on building secure, reliable, and scalable solutions across campus, data center, WAN, storage, and cloud-connected networks.</p><p>This position will serve as a senior technical resource for network architecture, routing, switching, firewall engineering, segmentation, performance optimization, and infrastructure modernization. The ideal candidate will have deep experience with Cisco networking technologies and the ability to lead initiatives from planning and design through implementation, support, and continuous improvement.</p><p>*** For immediate and confidential consideration on this Systems Administrator position, please send a message to CARRIE DANGER on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***</p><p>Key Responsibilities:</p><p>• Design, implement, and maintain enterprise network infrastructure for high availability, performance, scalability, and security</p><p>• Engineer and optimize routing, switching, firewall, WAN, and data center network solutions across on-prem and hybrid environments</p><p>• Deploy, configure, patch, and upgrade routers, switches, firewalls, and related platforms</p><p>• Monitor network performance, analyze alerts/logs, and troubleshoot outages or service degradation</p><p>• Support secure network design, segmentation, access controls, and cloud connectivity strategies</p><p>• Create and maintain documentation, diagrams, standards, and operational runbooks</p><p>• Lead or support infrastructure refreshes, migrations, expansions, DR/failover testing, and continuous improvement efforts</p><p>• Mentor junior team members and contribute to engineering best practices</p><p>Technical Environment:</p><p>• Cisco ASA / FTD firewalls</p><p>• Cisco Catalyst, Nexus, and MDS switches</p><p>• Cisco NX-OS</p><p>• Cisco UCS / Fabric Interconnects</p><p>• F5 WAF</p><p>• Routing protocols: BGP, OSPF, HSRP</p><p>• Core technologies: TCP/IP, DNS, IPsec, SSL/TLS, STP, VRF, QoS, L2/L3</p><p>• Fiber Channel storage networking</p><p>• NetApp storage</p><p>• VMware / Hyper-V and other hypervisors</p><p>• Cloud platforms: Azure, AWS, or GCP</p><p>• Backup/recovery tools such as Veeam</p><p>• Automation using Python, Bash, or PowerShell</p><p>Additional experience with Fortinet-to-Cisco migrations, security best practices, and hybrid cloud architecture is a plus.</p><p>*** For immediate and confidential consideration on this Network Engineer, please send a message to CARRIE DANGER on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-259-6087 or mobile: 515-991-0863. Or one click apply on our Robert Half website. No third party inquiries. NO C2C.</p>
- 2026-11-04T00:00:00Z
- Washington, DC
- remote
- Temporary / Contract
- 48 - 54 USD / Hourly
- <p>We are looking for a Data Automation Engineer to design, develop, and maintain scalable data automation solutions leveraging AWS cloud services, selected Azure technologies, and emerging Generative AI capabilities.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design and implement scalable data automation workflows using AWS services with integration to Azure platforms.</p><p>· Develop and maintain ETL/ELT processes to ingest, transform, and move data across DynamoDB, SQL Server, Azure SQL, and other enterprise data sources.</p><p>· Build and support batch and near real-time data pipelines using Apache Spark and streaming technologies such as Kafka or Flume.</p><p>· Develop scalable data processing solutions utilizing Amazon EMR, AWS Fargate, Kubernetes, and related cloud technologies.</p><p>· Integrate REST APIs, external services, and Amazon Connect customer interaction data into analytics platforms.</p><p>· Evaluate and prototype Generative AI solutions using Amazon Bedrock, Azure OpenAI, Hugging Face, LangChain, and related technologies.</p><p>· Implement source control, CI/CD, and automation practices using GitHub, Azure DevOps, Jenkins, Docker, and Agile methodologies.</p><p>· Ensure data solutions meet security and compliance requirements, including IAM, encryption, RBAC, VPC isolation, and firewall policies.</p>
- 2026-10-15T00:00:00Z
- Stamford, CT
- onsite
- Permanent / Full Time
- 120000 - 140000 USD / Yearly
- 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.
- 2026-10-26T00:00:00Z
- Hackensack, NJ
- onsite
- Temporary / Contract
- 70 - 85 USD / Hourly
- <p>Our client, a large enterprise organization with a complex and highly available technology environment, is seeking a <strong>Senior Network Security Engineer</strong> with deep expertise in firewall engineering and enterprise networking. This individual will be responsible for designing, implementing, securing, and supporting critical network infrastructure while serving as a subject matter expert for next-generation firewall technologies. </p><p>Key Responsibilities</p><ul><li>Design, implement, and maintain enterprise network security solutions with a focus on <strong>Palo Alto Networks</strong> and <strong>Fortinet</strong> firewalls. </li><li>Develop and manage firewall policies, security rules, NAT configurations, VPNs, and access controls. </li><li>Analyze firewall logs, network traffic, and security events to identify risks and troubleshoot connectivity issues. </li><li>Lead firewall upgrades, migrations, and lifecycle management initiatives. </li><li>Provide advanced troubleshooting for network and security issues involving routing, switching, wireless, VPN, and WAN/LAN environments. </li><li>Support enterprise network infrastructure including routers, switches, wireless systems, and security platforms. </li><li>Partner with security, infrastructure, and application teams to deliver secure and reliable services. </li><li>Participate in incident response efforts, root cause analysis, and remediation activities. </li><li>Maintain technical documentation, standards, and operational procedures. </li><li>Contribute to infrastructure projects from planning through implementation and post-deployment support. </li></ul><p><br></p>
- 2026-11-04T00:00:00Z
- Memphis, TN
- onsite
- Permanent / Full Time
- 120000 - 130000 USD / Yearly
- <p><strong>AI Development & Engineering</strong></p><ul><li>Design, develop, and deploy AI-powered applications and intelligent automation solutions.</li><li>Build customized AI agents capable of executing multi-step workflows, retrieving information, and interacting with enterprise systems.</li><li>Integrate large language models (LLMs), including OpenAI, Anthropic Claude, and open-source models, into business applications.</li><li>Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories.</li><li>Implement AI solutions using Python, APIs, and modern AI frameworks such as LangChain, LangGraph, and LlamaIndex.</li><li>Evaluate and optimize AI model performance, accuracy, reliability, and cost.</li></ul><p><strong>Automation & Systems Integration</strong></p><ul><li>Identify opportunities to automate repetitive IT and business processes.</li><li>Build AI agents that integrate with enterprise applications, databases, cloud platforms, and internal APIs.</li><li>Develop automation workflows for IT support, infrastructure monitoring, reporting, and operational processes.</li><li>Integrate AI solutions with Microsoft 365, ServiceNow, Salesforce, ERP systems, and other enterprise platforms.</li><li>Partner with infrastructure and cybersecurity teams to ensure secure deployment and operation of AI solutions.</li></ul><p><strong>AI Infrastructure & Deployment</strong></p><ul><li>Deploy AI applications within AWS, Microsoft Azure, or Google Cloud environments.</li><li>Develop scalable APIs and microservices supporting AI applications.</li><li>Implement CI/CD pipelines, containerization, and monitoring for AI workloads.</li><li>Establish safeguards for data privacy, access control, model reliability, and responsible AI usage.</li><li>Monitor AI application performance and troubleshoot production issues.</li></ul><p><strong>Business Collaboration</strong></p><ul><li>Work directly with business leaders to identify AI use cases with measurable ROI.</li><li>Translate business requirements into practical technical solutions.</li><li>Develop proof-of-concept applications and transition successful solutions into production.</li><li>Document AI architecture, workflows, integrations, and operational procedures.</li><li>Provide technical guidance on AI adoption and emerging technologies.</li></ul><p><br></p>
- 2026-11-03T00:00:00Z
- Little Rock, AR
- onsite
- Permanent / Full Time
- 130000 - 150000 USD / Yearly
- <p><strong>AI Development & Engineering</strong></p><ul><li>Design, develop, and deploy AI-powered applications and intelligent automation solutions.</li><li>Build customized AI agents capable of executing multi-step workflows, retrieving information, and interacting with enterprise systems.</li><li>Integrate large language models (LLMs), including OpenAI, Anthropic Claude, and open-source models, into business applications.</li><li>Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories.</li><li>Implement AI solutions using Python, APIs, and modern AI frameworks such as LangChain, LangGraph, and LlamaIndex.</li><li>Evaluate and optimize AI model performance, accuracy, reliability, and cost.</li></ul><p><strong>Automation & Systems Integration</strong></p><ul><li>Identify opportunities to automate repetitive IT and business processes.</li><li>Build AI agents that integrate with enterprise applications, databases, cloud platforms, and internal APIs.</li><li>Develop automation workflows for IT support, infrastructure monitoring, reporting, and operational processes.</li><li>Integrate AI solutions with Microsoft 365, ServiceNow, Salesforce, ERP systems, and other enterprise platforms.</li><li>Partner with infrastructure and cybersecurity teams to ensure secure deployment and operation of AI solutions.</li></ul><p><strong>AI Infrastructure & Deployment</strong></p><ul><li>Deploy AI applications within AWS, Microsoft Azure, or Google Cloud environments.</li><li>Develop scalable APIs and microservices supporting AI applications.</li><li>Implement CI/CD pipelines, containerization, and monitoring for AI workloads.</li><li>Establish safeguards for data privacy, access control, model reliability, and responsible AI usage.</li><li>Monitor AI application performance and troubleshoot production issues.</li></ul><p><strong>Business Collaboration</strong></p><ul><li>Work directly with business leaders to identify AI use cases with measurable ROI.</li><li>Translate business requirements into practical technical solutions.</li><li>Develop proof-of-concept applications and transition successful solutions into production.</li><li>Document AI architecture, workflows, integrations, and operational procedures.</li><li>Provide technical guidance on AI adoption and emerging technologies.</li><li><br></li></ul><p><br></p>
- 2026-11-03T00:00:00Z
- La Jolla, CA
- onsite
- Permanent / Full Time
- 150000 - 200000 USD / Yearly
- We are looking for an AI Engineer to create practical, employee-facing applications that improve how internal teams find information, complete work, and make decisions. This role partners closely with business stakeholders to uncover operational challenges, shape effective solutions, and deliver reliable tools from concept through production support. The ideal candidate brings strong engineering depth, sound product judgment, and hands-on experience building applied AI systems that drive measurable efficiency and adoption.<br><br>Responsibilities:<br>• Partner with business leaders and end users to map workflows, identify inefficiencies, and define high-value AI solutions for internal operations.<br>• Design, build, and deploy AI-powered applications in Python using model APIs, orchestration frameworks, and enterprise-ready software practices.<br>• Develop retrieval-based experiences that enable users to search, analyze, and ask questions across internal documents and structured data sources.<br>• Create end-to-end automated processes that connect language models with business platforms, data systems, and human review checkpoints where needed.<br>• Architect agent-driven or multi-step AI solutions with clearly defined roles, secure permissions, and dependable coordination between components.<br>• Strengthen application quality through thoughtful testing, monitoring, documentation, deployment standards, and ongoing performance improvements.<br>• Assess model behavior for factual quality, consistency, traceability to source material, and usefulness in real business scenarios.<br>• Build intuitive user interfaces that allow employees to interact with AI tools easily without requiring technical expertise.<br>• Manage post-launch ownership by resolving issues, incorporating user feedback, and delivering enhancements that improve reliability and adoption.<br>• Present technical decisions, tradeoffs, and business impact clearly to both technical teams and non-technical stakeholders.
- 2026-10-18T00:00:00Z