230 Results for Cloud Engineer Jobs in

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Data Engineer

Nashville, TN
onsite
Temporary / Contract
62 - 71 USD / Hourly
Robert Half is seeking a Contract Data Engineer 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. Key Responsibilities:<ul><li>Data Pipeline Development: Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li>Data Architecture: Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li>Cloud Data Platforms: Work within cloud environments such as AWS, Azure, or GCP to deploy and manage data solutions.</li><li>Data Warehousing: Design and support enterprise data warehouses using platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse.</li><li>Big Data Processing: Develop solutions using big data technologies such as Spark, Databricks, Kafka, and Hadoop when required.</li><li>Performance Optimization: Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li>Data Quality & Reliability: Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li>Collaboration: Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li>Documentation: Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul>
2026-11-03T00:00:00Z

Data Engineer

Arlington, VA
onsite
Permanent / Full Time
150000 - 170000 USD / Yearly
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. 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.
2026-10-08T00:00:00Z

Data Engineer

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. Responsibilities: • Design, build, and maintain data pipelines that ingest, transform, and prepare HR and workforce data for downstream analytics and reporting. • Develop scalable data processing solutions using Azure Databricks, Python, Spark, and SQL to support production-grade data products. • Orchestrate and monitor data workflows through Azure Data Factory to ensure timely, accurate, and resilient data movement. • Analyze existing data sources and business requirements to create efficient transformation logic and structured datasets. • Collaborate with stakeholders across technical and functional teams to align data engineering deliverables with HR reporting and operational needs. • Improve data quality, performance, and reliability by applying sound ETL practices, validation checks, and optimization techniques. • Support integration efforts involving HR systems and related interfaces, including work connected to evolving source platforms when needed. • Contribute to documentation, technical standards, and knowledge sharing to support maintainability and long-term solution success.
2026-11-06T00:00:00Z

Data Engineer

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. Responsibilities: • Design, build, and maintain robust ETL and ELT workflows that support HR and workforce data products. • Develop scalable data transformations using Python, SQL, Spark, and Azure Databricks to prepare high-quality datasets for downstream use. • Orchestrate and monitor pipeline execution through Azure Data Factory to ensure dependable and timely data delivery. • Analyze existing source systems and data structures to map requirements and create efficient ingestion and transformation logic. • Partner with stakeholders across HR and analytics teams to turn business questions into practical engineering solutions. • Improve data quality, performance, and reliability by applying modern engineering standards, testing practices, and documentation. • Support integrations across HRIS and related platforms, including contributing to interface development where needed. • Create production-ready datasets that enable reporting, workforce analysis, and broader people data initiatives.
2026-11-06T00:00:00Z

Data Engineer

Oskaloosa, IA
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Position: Data Engineer Location: Oskaloosa, IA / Des Moines, IA -- Onsite Salary: $100,000 - $120,000 base + exceptional benefits *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** Data Engineer Shape the Future of Enterprise Analytics, AI & Data Innovation Are you the type of data professional who sees a business problem and immediately starts thinking about how to model, engineer, and deliver the right solution? A highly successful, technology-driven organization is seeking a Data Engineer to help build the foundation for enterprise analytics, business intelligence, governance, and next-generation AI initiatives. This is an opportunity to make a visible impact across the business while working alongside a collaborative team of data professionals who are passionate about solving complex challenges. This role is ideal for someone who enjoys being hands-on, partnering with the business, and building modern data solutions that drive meaningful outcomes. What You'll Do • Design and develop scalable data models, semantic layers, and enterprise data solutions • Build trusted data structures that support analytics, reporting, AI, and business intelligence initiatives • Develop and optimize cloud-based data pipelines and integrations • Improve data governance, lineage, metadata management, and observability practices • Create automated data quality and validation frameworks • Implement CI/CD processes and modern DataOps best practices • Optimize SQL performance across warehouses, lakehouses, and reporting environments • Partner with analysts and business stakeholders to transform complex problems into actionable solutions • Contribute to technical standards, mentoring, documentation, and architectural best practices What We're Looking For Core Qualifications • Strong experience with data modeling and semantic modeling • Hands-on experience with Microsoft Fabric, Azure, and Power BI • Advanced SQL development and performance optimization skills • Experience with Git, CI/CD, and modern data engineering practices • Ability to translate business requirements into scalable technical solutions • Experience developing enterprise data pipelines and analytics platforms • A plus if you have data governance, data warehouse, data lake and or DBT experience. *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-10-13T00:00:00Z

Data Engineer

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. Responsibilities: • Design and deliver interactive dashboards and reporting solutions that support business decision-making across the analytics function. • Build and enhance data products within Databricks to provide reliable, user-friendly access to operational and analytical insights. • Develop and maintain ETL pipelines using Python, Apache Spark, and Azure-based data services to prepare data for reporting and analysis. • Create scalable data models and curated datasets in Azure Data Lake and related platforms to support self-service analytics. • Contribute to AI-enabled business intelligence solutions using Databricks tools and lakehouse technologies. • Partner with analytics stakeholders to translate reporting needs into technical solutions that are accurate, efficient, and maintainable. • Support the evolution of reporting assets, including work associated with shifting Power BI-based reporting into Databricks environments. • Monitor data quality, troubleshoot reporting issues, and optimize performance across dashboards, pipelines, and data assets.
2026-10-28T00:00:00Z

Data Engineer

Oklahoma City, OK
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
A Manufacturing/ distribution company is looking for a Data Engineer with 3 + years of experience to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining the data infrastructure to support analytics and decision-making processes. You will be a key contributor in developing, optimizing, and maintaining the data infrastructure that supports analytics and business intelligence initiatives, and data driven decision-making using Snowflake, Matillion, and other tools. Position will be in-office to work closely with the team. You must live in the Oklahoma City area. Client is unable to sponsor. No 3rd parties please. Responsibilities: • Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.• Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.• Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.• Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.• Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.• Ensure data quality, governance, and integrity by implementing and enforcing best practices.
2026-10-28T00:00:00Z

Field Engineer

Mountainside, NJ
onsite
Permanent / Full Time
95000 - 115000 USD / Yearly
We are looking for a Field Engineer to support customers, internal sales teams, and service partners by providing practical technical expertise that strengthens product adoption and long-term account growth. This role focuses on evaluating fluid system applications, recommending effective solutions, and helping customers improve reliability and performance. Based in Mountainside, New Jersey, the position also partners with cross-functional teams to advance custom solution opportunities and contribute technical insight to strategic initiatives. Responsibilities:• Build demand for priority products and service offerings by aligning technical recommendations with customer application needs.• Serve as a technical resource for installed systems, including issue review, return support, troubleshooting guidance, and field-based problem resolution.• Assess customer fluid systems, identify performance or efficiency gaps, and document findings with solution-focused recommendations.• Support customers with engineering-related assistance such as maintenance guidance, system adjustments, and application troubleshooting.• Create and deliver tailored technical presentations that address customer challenges and demonstrate the value of proposed solutions.• Partner with sales and customers to identify custom fabrication opportunities, including development of drawings, quotes, and P&ID documentation.• Recommend appropriate products for specific operating environments and application requirements.• Provide technical training and application support to internal teams and customers on product use and best practices.• Work closely with peer engineers and business partners to share knowledge, refine solutions, and support broader marketing or operational initiatives. Benefits:<ul><li>Medical</li><li>Vision</li><li>Dental</li><li>401K</li><li>PTO</li></ul>
2026-10-22T00:00:00Z

Data Platform Engineer

Cleveland, OH
onsite
Permanent / Full Time
75000 - 90000 USD / Yearly
One of Robert Half's clients is looking for a curious, resourceful Data Platform Engineer to help us strengthen the foundation behind our data. This is a hands-on, growth-oriented role for someone who enjoys investigating how systems work, solving practical problems, and learning new technologies. You will help build and maintain data pipelines, improve the reliability and accessibility of our data, and contribute to an assessment of our current data architecture. You will have the opportunity to work across several areas of data engineering rather than being limited to one narrow specialty. This may include data integration, pipeline development, data modeling, quality monitoring, documentation, reporting support, and architecture discovery. We are more interested in how you approach problems than whether you have already used every technology in our environment. The right person is dependable, asks thoughtful questions, follows work through to completion, and knows how to use modern AI development tools responsibly and effectively. Essential Functions Build, maintain, and improve pipelines that move data between operational systems, databases, warehouses, and reporting tools. Help document our existing data environment, including data sources, integrations, transformations, storage, reporting dependencies, and access controls. Support an audit of the current data architecture by investigating how systems connect and identifying potential reliability, scalability, data-quality, security, or maintainability concerns. Work with more experienced team members and business stakeholders to evaluate and prioritize improvements. Develop and maintain reusable data models for reporting, analytics, and operational use. Add testing, monitoring, alerting, logging, and documentation to important data workflows. Investigate failed jobs, inconsistent metrics, and other data issues through structured root-cause analysis. Write readable, maintainable code using source control, code review, automated testing, and repeatable deployment practices. Translate business needs into practical technical solutions with guidance from internal stakeholders. Use AI-assisted development tools to accelerate research, coding, testing, documentation, and troubleshooting. Review and validate AI-generated work rather than accepting it without verification. Learn unfamiliar systems and technologies as needed and share what you discover with the team. Knowledge, Skills & Abilities Strong foundational SQL skills and experience working with relational data. Working knowledge of Python, R, or another language used for data processing and automation. Some experience building, modifying, or supporting ETL/ELT pipelines. Familiarity with databases, data warehouses, APIs, scheduled jobs, or cloud-based data services. Basic experience with Git and modern software-development practices. An ability to investigate unfamiliar problems, test assumptions, and communicate findings clearly. A dependable approach to execution, documentation, and follow-through. Genuine curiosity and a willingness to learn technologies outside your current experience. Practical experience using AI coding assistants or language models as part of a development workflow. Good judgment about validating AI-generated code and protecting confidential or sensitive company information.
2026-10-30T00:00:00Z

AI Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking an experienced AI Engineer with a strong background in full-stack software development, C#/.NET programming, and Microsoft Azure to design, develop, and implement AI-driven applications and solutions. This role will focus on integrating Generative AI technologies into scalable, enterprise-level applications while leveraging modern cloud technologies and software engineering best practices. The ideal candidate is a hands-on developer who can build end-to-end solutions, integrate AI capabilities into existing systems, and contribute to the development of innovative, AI-powered applications.
2026-10-22T00:00:00Z

AI Engineer

Memphis, TN
onsite
Permanent / Full Time
120000 - 130000 USD / Yearly
AI Development & Engineering<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>Automation & Systems Integration<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>AI Infrastructure & Deployment<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>Business Collaboration<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>
2026-11-03T00:00:00Z

AI Engineer

Little Rock, AR
onsite
Permanent / Full Time
130000 - 150000 USD / Yearly
AI Development & Engineering<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>Automation & Systems Integration<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>AI Infrastructure & Deployment<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>Business Collaboration<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> </li></ul>
2026-11-03T00:00:00Z

AI Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking an experienced AI Engineer to join a growing technology team focused on building intelligent, scalable, and cloud-native applications. This role is ideal for a hands-on engineer who combines strong .NET full-stack development experience with expertise in Microsoft Azure and modern AI technologies, including Large Language Models (LLMs), Generative AI, and AI-powered automation solutions.You will play a key role in designing, developing, and deploying next-generation applications that leverage artificial intelligence to improve business operations, customer experiences, and decision-making.Responsibilities<ul><li>Design, develop, and deploy AI-powered applications using Azure services and modern AI frameworks.</li><li>Build and integrate Generative AI solutions utilizing Large Language Models (LLMs), Retrieval Augmented Generation (RAG), and conversational AI technologies.</li><li>Develop scalable backend services utilizing C#, .NET Core, APIs, and microservices architectures.</li><li>Build modern front-end applications using technologies such as React, Angular, or Blazor.</li><li>Develop AI agents, copilots, chatbots, and workflow automation solutions.</li><li>Integrate Azure AI services including:</li><li>Azure OpenAI</li><li>Azure Cognitive Services</li><li>Azure AI Search</li><li>Azure Machine Learning</li><li>Design and optimize data pipelines supporting AI and analytics initiatives.</li><li>Collaborate with product, business, and engineering teams to identify AI use cases and technical solutions.</li><li>Implement best practices around security, scalability, monitoring, and performance optimization.</li><li>Participate in architecture discussions, code reviews, and technical leadership activities.</li></ul>
2026-11-05T00:00:00Z

AI Engineer

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. Responsibilities: • Partner with business leaders and end users to map workflows, identify inefficiencies, and define high-value AI solutions for internal operations. • Design, build, and deploy AI-powered applications in Python using model APIs, orchestration frameworks, and enterprise-ready software practices. • Develop retrieval-based experiences that enable users to search, analyze, and ask questions across internal documents and structured data sources. • Create end-to-end automated processes that connect language models with business platforms, data systems, and human review checkpoints where needed. • Architect agent-driven or multi-step AI solutions with clearly defined roles, secure permissions, and dependable coordination between components. • Strengthen application quality through thoughtful testing, monitoring, documentation, deployment standards, and ongoing performance improvements. • Assess model behavior for factual quality, consistency, traceability to source material, and usefulness in real business scenarios. • Build intuitive user interfaces that allow employees to interact with AI tools easily without requiring technical expertise. • Manage post-launch ownership by resolving issues, incorporating user feedback, and delivering enhancements that improve reliability and adoption. • Present technical decisions, tradeoffs, and business impact clearly to both technical teams and non-technical stakeholders.
2026-10-18T00:00:00Z

Server and Storage Engineer

Minneapolis, MN
onsite
Permanent / Full Time
170000 - 190000 USD / Yearly
We are looking for an experienced Server and Storage Engineer to support and enhance enterprise infrastructure operations for our Minneapolis client. This position focuses on maintaining reliable server, storage, virtualization, and backup environments while strengthening performance visibility across critical systems. The ideal candidate brings deep technical expertise, a proactive approach to problem-solving, and the ability to help modernize infrastructure with cloud-aligned technologies. Responsibilities:• Manage and optimize enterprise server and storage platforms to ensure high availability, resilience, and consistent performance across the environment.• Administer NetApp storage solutions and VMware infrastructure, including configuration, capacity planning, maintenance, and operational support.• Oversee backup and recovery processes for business-critical systems, validating data protection strategies and recovery readiness.• Use monitoring and observability platforms such as Dynatrace, Datadog, or New Relic to identify issues, analyze trends, and improve system health.• Support core Microsoft infrastructure, including Windows Server, Active Directory, Azure Active Directory, and Exchange services.• Maintain and improve virtualized environments and related infrastructure components to meet security, performance, and scalability requirements.• Collaborate with cross-functional technology teams on infrastructure improvements, cloud-related initiatives, and long-term platform strategy.• Troubleshoot complex server, storage, and connectivity issues, driving timely resolution and minimizing operational disruption.
2026-11-01T00:00:00Z

Full Stack Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Senior Full Stack Engineer to lead the design and development of modern web applications. This role will work across the full technology stack, building scalable front-end solutions with Angular and back-end services using .NET while mentoring team members and driving technical excellence.Responsibilities<ul><li>Design, develop, and support enterprise web applications</li><li>Build responsive user interfaces using Angular</li><li>Develop APIs and business services using C# and .NET</li><li>Design database solutions and optimize SQL performance</li><li>Participate in architecture discussions and technical planning</li><li>Mentor junior developers and perform code reviews</li><li>Collaborate with product, infrastructure, and business teams</li><li>Support production applications and troubleshoot complex issues</li></ul>
2026-10-30T00:00:00Z

IT Infrastructure DevOps Engineer

Atlanta, GA
remote
Permanent / Full Time
90000 - 110000 USD / Yearly
Senior Infrastructure DevOps EngineerRemote - Atlanta, GALocation Requirement: This is a fully remote position; however, candidates must currently reside in the Atlanta, GA area. Applicants outside of Atlanta will not be considered.Work Authorization: No C2C. No third-party agencies. No sponsorship or visa transfers now or in the future. About the RoleWe are seeking a Senior Infrastructure DevOps Engineer to join a growing IT team. This is an exciting opportunity for someone who enjoys wearing multiple hats across infrastructure, cloud engineering, automation, DevOps, enterprise applications, and technical leadership.This role is ideal for someone who enjoys taking ownership of projects, mentoring junior engineers, partnering with business stakeholders, and driving technical initiatives that improve business operations. Responsibilities<ul><li>Lead enterprise infrastructure initiatives (approximately 60–70% of the role).</li><li>Support DevOps projects, automation, and development (approximately 30–40% of the role).</li><li>Build and develop APIs using Python and PowerShell.</li><li>Manage Azure cloud resources, including networks, storage, services, and cloud infrastructure.</li><li>Administer and configure financial ERP systems and enterprise business applications.</li><li>Oversee Microsoft 365 administration, including Exchange Online, SharePoint, Teams, and OneDrive.</li><li>Administer Entra ID (Azure Active Directory), including roles, conditional access, governance, and identity management.</li><li>Manage Microsoft Intune for device deployment and compliance.</li><li>Develop PowerShell scripts, Python automation, and Power Automate workflows to reduce manual effort and improve business and Finance processes.</li><li>Support and enhance integrations between Business Central (ERP), Kantata, Navan, ADP, and other enterprise applications.</li><li>Monitor and optimize Azure cloud resources, performance, and costs.</li><li>Apply security best practices, including MFA, device compliance, least-privilege access, and governance.</li><li>Support audits, compliance initiatives, and security investigations.</li><li>Provide Level 3 support for complex infrastructure and application issues.</li><li>Mentor junior engineers and provide technical leadership.</li><li>Take ownership of projects and work across multiple IT disciplines.</li><li>Partner with business stakeholders to recommend technical solutions and improve operational efficiency.</li><li>Help drive future operational growth and leadership initiatives.</li></ul>
2026-10-21T00:00:00Z

Networking Engineer

Edison, NJ
remote
Temporary / Contract
60 - 65 USD / Hourly
<ul><li> Participates in the planning and design of network architecture.</li><li> Performs maintenance of network devices including the restoration of hardware and software.</li><li> Conduct advanced research and evaluation of network technology and recommend purchases of network equipment.</li><li> Works with end users, Team Members and vendors to resolve network hardware and software issues.</li><li> Designs installs, supports and tests Local and Wide Area Networks.</li><li> Supports Infrastructure including: switches, routers, wireless, optical, and firewalls.</li><li> May develop end-user training to achieve efficient utilization of LAN/WAN.</li><li> Responds to and resolves help desk tickets. Participates in project management activities as assigned.</li><li> Participates in Network Team On-Call program.</li><li> Adheres to the Medical Center's Organizational Competencies and Standards of Behavior.</li></ul>
2026-10-24T00:00:00Z

IAM Engineer

San Antonio, TX
onsite
Permanent / Full Time
80000 - 116000 USD / Yearly
We are looking for an IAM Engineer to strengthen identity governance capabilities for a growing enterprise environment in San Antonio, Texas. This role focuses on enhancing access management processes, improving platform reliability, and supporting secure integration across critical business systems. The ideal candidate will bring hands-on experience with identity administration tools, strong troubleshooting ability, and a practical understanding of compliance-driven access controls. Responsibilities: • Manage and enhance the Saviynt identity governance platform to support joiner, mover, and leaver processes, automated provisioning, and access oversight. • Configure connections between Saviynt and enterprise technologies such as Microsoft Entra ID, Active Directory, HR platforms, databases, cloud services, and other integrated applications using APIs and connectors. • Create and maintain workflows, rules, reports, and validation processes that increase automation, improve data quality, and strengthen governance outcomes. • Monitor system health, review performance trends, and resolve complex technical issues to improve availability, scalability, and operational efficiency. • Partner with cybersecurity teams, application owners, auditors, and business stakeholders to design and refine identity controls and governance solutions. • Support identity modernization efforts through application onboarding, migration-related activities, certification campaigns, and governance improvements. • Produce and maintain operational documentation including support records, runbooks, troubleshooting guides, and technical procedures. • Develop dashboards and reporting capabilities to track provisioning performance, certification progress, platform usage, and compliance metrics. • Contribute to backup, recovery, and disaster recovery planning by assisting with testing processes and infrastructure resilience activities.
2026-11-04T00:00:00Z

Network Architect

Austin, TX
onsite
Temporary to Hire
39.5865 - 45.837 USD / Hourly
We are looking for a Network Architect to support our client's team here in Austin, Texas. This will be a contract opportunity with potential to become permanent. This position focuses on designing and maintaining reliable network environments while providing hands-on engineering support for controller troubleshooting and repair. The role is well suited for someone who can balance architecture planning with field-level problem solving and is comfortable with travel as part of project and support needs. Responsibilities:• Design and improve network architecture that supports renewable energy systems and related operational infrastructure.• Provide engineering support for controller diagnostics, troubleshooting, and break-fix activities in live environments.• Evaluate network performance and implement changes that strengthen stability, connectivity, and overall system reliability.• Partner with technical teams to align infrastructure decisions with application, security, and operational requirements.• Support integration efforts involving cloud platforms, APIs, and connected systems where network architecture plays a critical role.• Travel to project or operating sites as needed to investigate issues, support deployments, and assist with technical resolution.• Document architecture decisions, support procedures, and remediation steps to promote consistency across environments.
2026-11-03T00:00:00Z

Network/Systems Engineer

Greenville, SC
onsite
Temporary / Contract
47.5 - 55 USD / Hourly
We are looking for an experienced Network/Systems Engineer to support a financial services environment in Greenville, South Carolina. This is a Long-term Contract opportunity offering onsite engagement for an initial 4 to 6 month term, with a strong focus on enterprise infrastructure, systems reliability, and network support. The role is well suited to a senior specialist who can manage complex Microsoft, virtualization, cloud, and networking technologies while contributing hands-on technical expertise across day-to-day operations and project work. Responsibilities: • Administer and enhance Windows Server environments, including server upgrades, migrations, and ongoing operational support across enterprise systems. • Manage VMware vSphere infrastructure to maintain virtual machine performance, availability, and capacity across production environments. • Oversee storage platforms and backup-related activities to help ensure data protection, system resilience, and efficient resource utilization. • Support Active Directory services, including Group Policy, federation services, and hybrid identity integrations with Entra ID and Azure AD synchronization. • Develop and maintain PowerShell scripts to automate administrative tasks, streamline maintenance, and improve infrastructure efficiency. • Provide hands-on support for Cisco network infrastructure, helping maintain connectivity, troubleshoot issues, and strengthen overall network performance. • Administer Windows Server and SQL clustering environments, including upgrade activities and high-availability support for critical applications. • Maintain Microsoft Azure resources such as virtual machines, networking components, and hybrid infrastructure connections between cloud and on-premises systems. • Handle enterprise patching, certificate administration, and Microsoft Exchange Online or Office 365 mail environment support, including spam filtering oversight. • Assist with Linux systems administration and collaborate on broader infrastructure initiatives where cross-platform support is needed.
2026-11-04T00:00:00Z

Software Engineer, AI

Los Angeles, CA
remote
Permanent / Full Time
160000 - 170000 USD / Yearly
Software Engineer, AI Company Overview A growing organization is seeking an AI Engineer to develop automation, data, and AI-driven solutions that improve business processes and operational efficiency. This role offers the opportunity to work on innovative projects while helping shape the organization's use of emerging technologies. Role Summary The AI Engineer will design, build, and support AI-powered applications, automation solutions, and data-driven workflows. The ideal candidate combines strong software engineering skills with experience delivering practical AI solutions in a business environment. Key Responsibilities<ul><li>Design, develop, and support AI-enabled applications and automation solutions.</li><li>Partner with business and technical teams to identify opportunities for process improvement.</li><li>Build integrations between AI solutions, data sources, and business applications.</li><li>Monitor solution performance and continuously improve reliability and effectiveness.</li><li>Develop and maintain technical documentation and best practices.</li><li>Support the evaluation and adoption of emerging AI technologies.</li></ul>
2026-10-09T00:00:00Z

Systems Engineer (Linux)

Miramar, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
Robert Half is seeking a Systems Engineer II for a client in the financial services industry. This role is ideal for an experienced Linux professional with strong expertise in Red Hat Enterprise Linux and working knowledge of Ubuntu and related distributions. The Systems Engineer II will design, implement, secure, and maintain enterprise Linux platforms across on-premises, virtual, and cloud environments supporting critical business services.Key Responsibilities:<ul><li>Administer, patch, upgrade, and troubleshoot enterprise Linux servers, primarily Red Hat Enterprise Linux</li><li>Implement system hardening, security controls, and vulnerability remediation</li><li>Monitor performance, availability, and operational health across production environments</li><li>Support compliance initiatives aligned with SCAP, STIG, CIS benchmarks, and NIST controls</li><li>Automate provisioning, patching, and administration using tools such as Bash, Python, and Ansible</li><li>Provide advanced troubleshooting, root cause analysis, and support for backup, recovery, and disaster recovery efforts</li><li>Collaborate with infrastructure, cybersecurity, cloud, database, and application teams</li></ul>
2026-11-04T00:00:00Z

End Point Engineer

Coconut Creek, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
Robert Half is seeking an End Point Engineer to design, implement, maintain, and secure the enterprise endpoint environment across Windows, macOS, and iOS devices. This role will focus on Microsoft Intune administration, OS and third-party patching, software packaging and deployment, policy management, configuration baselines, and endpoint security within a regulated financial services environment.Responsibilities:<ul><li>Manage and support Windows, macOS, and iOS endpoints</li><li>Administer Microsoft Intune for device management, compliance, and application deployment</li><li>Oversee OS lifecycle management, patching, and upgrades</li><li>Handle third-party application patching and software deployments</li><li>Administer Group Policy (GPO) 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>
2026-11-04T00:00:00Z

Machine Learning Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000 - 300000 USD / Yearly
Machine Learning Engineer Company OverviewBased in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence. Role SummaryThe Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. Key Responsibilities<ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>
2026-10-30T00:00:00Z

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