<p>Position: Oracle HCM Analyst (Functional NOT Developer) - Direct Hire Permanent</p><p>Location: Remote</p><p>Salary: $95,000 - $115,000 base annual salary plus exceptional benefits</p><p><br></p><p>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. ***</p><p><br></p><p>Oracle HCM Analyst</p><p>Remote | Competitive Salary + Exceptional Benefits</p><p>Are you passionate about helping organizations get the most out of their Oracle investment after a major ERP transformation?</p><p>We are seeking an Oracle HCM Analyst to join a collaborative team supporting a recently implemented Oracle HCM environment. This is an opportunity to become a key contributor during a critical stabilization and optimization phase, working directly with business stakeholders to improve processes, solve problems, and enhance the user experience.</p><p>If you enjoy partnering with the business, influencing solutions, and becoming a trusted Oracle subject matter expert, this role offers significant visibility, long-term growth, and the opportunity to make a meaningful impact.</p><p>What You'll Do</p><p>• Support and optimize Oracle HCM modules in a recently implemented environment.</p><p>• Partner with HR and business leaders to gather requirements and recommend solutions.</p><p>• Troubleshoot and resolve post-implementation issues.</p><p>• Assist with system enhancements, configurations, workflows, forms, and templates.</p><p>• Collaborate with senior analysts and business stakeholders on continuous improvement initiatives.</p><p>• Help mature and stabilize enterprise HR processes and Oracle capabilities.</p><p>• Serve as a trusted resource for end users and functional stakeholders.</p><p>What We're Looking For</p><p>1. Strong Oracle HCM Expertise</p><p>• 4+ years of Oracle HCM experience.</p><p>• Deep understanding of Oracle HCM functionality, processes, and best practices.</p><p>• Ability to translate business requirements into functional solutions.</p><p>2. Collaborative Team Player</p><p>• Strong listening and communication skills.</p><p>• Comfortable taking direction, partnering with senior team members, and contributing positively to team dynamics.</p><p>• Demonstrated ability to build productive relationships with functional and technical stakeholders.</p><p>3. Business Partnership Mindset</p><p>• Experience working directly with HR and business users.</p><p>• Skilled at requirements gathering, process improvement, and solution consultation.</p><p>• Healthcare industry experience is a plus.</p><p><br></p><p>If you're looking to take the next step in your Oracle career and help shape the future of a growing enterprise platform, we'd love to speak with you.</p><p><br></p><p>*** 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. ***</p>
We are looking for a Systems Engineer to support the reliability and performance of critical cloud-based business applications in Jacksonville, Florida. This role focuses on day-to-day platform operations, incident resolution, and service improvement across production environments. The ideal candidate is comfortable working across infrastructure, application support, and automation while partnering with cross-functional teams to maintain compliance and deliver a strong customer experience.<br><br>Responsibilities:<br>• Monitor cloud applications and platform components to identify service degradation, abnormal behavior, and data issues before they affect users.<br>• Perform routine operational tasks such as system checks, maintenance activities, patching coordination, and software version updates to keep environments stable.<br>• Investigate production incidents independently, restore service as quickly as possible, and contribute to major incident response efforts when escalations occur.<br>• Document root causes, corrective actions, and follow-up recommendations after incidents to strengthen operational processes and reduce repeat issues.<br>• Partner with security and compliance stakeholders to gather audit support materials, address findings, and help maintain required control standards.<br>• Work with sales and customer support teams to troubleshoot client-facing technical problems through log review, environment analysis, and issue replication.<br>• Create and maintain automation scripts in Shell or Python to simplify recurring support tasks and improve operational efficiency.<br>• Support containerized and middleware-based environments by assisting with Kubernetes operations and resolving common issues involving web, database, cache, and messaging services.<br>• Participate in an on-call rotation and respond to production emergencies in a timely manner to help maintain service availability.
We are looking for an Artificial Intelligence (AI) Engineer to create and scale advanced generative AI solutions for a highly regulated financial services setting in Jacksonville, Florida. This position is ideal for a hands-on engineer who can turn concepts into dependable production applications while balancing speed, quality, and security. You will work across AI architecture, application development, and cloud deployment to deliver intelligent capabilities that support enterprise business goals.<br><br>Responsibilities:<br>• Design and implement generative AI applications and agent-based workflows that solve complex business challenges in a financial services environment.<br>• Build end-to-end AI capabilities, including solution design, development, testing, deployment, and ongoing performance monitoring.<br>• Connect large language models to enterprise products and operational processes to deliver practical, production-ready functionality.<br>• Develop and maintain data preparation workflows such as document chunking, embedding generation, indexing, and vector search optimization.<br>• Configure and manage cloud infrastructure using Terraform to support scalable, resilient, and secure AI services.<br>• Engineer robust backend components and enterprise applications using C# and the Microsoft technology stack.<br>• Collaborate with technical and business stakeholders to define requirements, prioritize deliverables, and drive high-quality execution.<br>• Ensure AI systems meet expectations for reliability, governance, data protection, and compliance within a regulated industry.<br>• Continuously refine models, pipelines, and application performance to improve accuracy, efficiency, and operational stability.
We are looking for an Implementation Engineer to lead the deployment and integration of enterprise technology solutions for customer environments in San Antonio, Texas. This role partners closely with client IT teams to prepare infrastructure, connect cloud-based services, and deliver secure, reliable implementations that align with business needs. The ideal candidate brings strong systems and networking knowledge, a methodical approach to documentation, and the ability to resolve technical issues with professionalism and urgency.<br><br>Responsibilities:<br>• Deploy and configure enterprise software across customer servers, workstations, and connected network devices.<br>• Coordinate with client IT teams to assess infrastructure readiness and prepare environments for successful solution delivery.<br>• Integrate platforms with identity and access management systems, including Azure Active Directory, Microsoft Entra ID, Google, Active Directory, and Okta.<br>• Connect cloud services to customer networks while ensuring dependable performance, security, and compatibility.<br>• Produce clear implementation records, configuration details, and support documentation for completed projects.<br>• Investigate technical issues in existing installations and provide timely troubleshooting and resolution.<br>• Use remote collaboration and support tools to assist customers, perform technical reviews, and complete implementation tasks.<br>• Follow company policies, operational procedures, and applicable compliance and safety standards in all work activities.<br>• Communicate openly with management regarding project status, risks, and other important matters affecting delivery.
<p>We are looking for Cloud and DevOps professionals interested in exploring new opportunities with organizations modernizing their infrastructure, cloud environments, and software delivery capabilities.</p><p><br></p><p><strong>Location:</strong> Pittsburgh, PA (Hybrid Onsite Opportunities Available)</p><p><strong>Compensation:</strong> $100,000 - $200,000+ depending on experience and position</p><p><strong>Schedule:</strong> Full-Time</p><p><br></p><p><strong>Opportunities May Include:</strong></p><ul><li>Cloud Engineer</li><li>Cloud Architect</li><li>DevOps Engineer</li><li>Site Reliability Engineer (SRE)</li><li>Platform Engineer</li><li>Infrastructure Engineer</li><li>Systems Engineer</li><li>Cloud Operations Manager</li><li>Solutions Architect</li></ul><p><strong>Responsibilities:</strong></p><ul><li>Design, implement, and support cloud infrastructure</li><li>Automate deployments and infrastructure provisioning</li><li>Develop and maintain CI/CD pipelines</li><li>Improve reliability, scalability, and system performance</li><li>Monitor and respond to infrastructure issues</li><li>Implement security and compliance best practices</li><li>Collaborate with development and operations teams to streamline delivery processes</li></ul><p><br></p>
<p><strong>Lead Data Engineer</strong></p><p><br></p><p><strong>Company Overview</strong> </p><p>A media organization is seeking a Lead Data Engineer to support enterprise data, analytics, and emerging technology initiatives. This role offers the opportunity to lead technical projects, mentor engineers, and help shape the organization's data strategy.</p><p><br></p><p><strong>Role Summary</strong> </p><p>The Lead Data Engineer will be a hands-on technical leader responsible for data engineering, analytics, automation, and AI-related initiatives. This role combines individual contribution, technical direction, team mentorship, and cross-functional collaboration.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Lead the design, development, and support of enterprise data solutions.</li><li>Provide technical leadership and establish development best practices.</li><li>Oversee data pipelines, integrations, reporting, and automation initiatives.</li><li>Partner with business and technology stakeholders to prioritize work and deliver solutions.</li><li>Monitor data quality, reliability, and operational performance.</li><li>Mentor team members and support their technical development.</li><li>Evaluate emerging technologies and identify opportunities for innovation.</li></ul>
<p>Lead Data Engineer</p><p>Salary: Up to $160,000 Location:</p><p>On-Site | South Los Angeles Area</p><p>Employment Type: Full-Time</p><p><br></p><p>Build the Foundation for Enterprise Analytics</p><p><br></p><p>We are seeking a Lead Data Engineer to drive the architecture, modernization, and expansion of a growing enterprise data platform built within the Microsoft Azure ecosystem. This is a highly visible technical leadership role where you'll help shape the future of data across multiple business functions by building scalable, secure, and high-performing data solutions.</p><p><br></p><p>If you're passionate about Databricks, cloud data platforms, and mentoring engineering teams while remaining hands-on with development, this is an opportunity to make a significant impact.</p><p><br></p><p>What You'll Do</p><ul><li>Lead the design, implementation, and optimization of an enterprise Azure Databricks Lakehouse environment utilizing Bronze, Silver, and Gold data layers.</li><li>Architect and execute migrations from SQL Server and legacy platforms into modern cloud-native data solutions.</li><li>Develop and optimize large-scale ETL/ELT pipelines supporting operational reporting, business intelligence, advanced analytics, and data science initiatives.</li><li>Integrate data from multiple enterprise systems, APIs, operational platforms, and third-party sources.</li><li>Establish best practices for data engineering, data modeling, testing, CI/CD, monitoring, governance, and production support.</li><li>Implement and maintain data governance frameworks, security controls, lineage tracking, and access management.</li><li>Lead code reviews, technical design discussions, and engineering standards across the data team.</li><li>Mentor and support data engineers while fostering a culture of technical excellence.</li><li>Partner closely with business stakeholders, analysts, and data scientists to deliver trusted, scalable data products.</li></ul><p>For immediate consideration, apply now and direct message Reid Gormly on LINKEDIN</p>
<p>We are seeking a highly experienced <strong>Enterprise Product Lead</strong> to play a critical leadership role in a large-scale technology and business transformation initiative within a complex global organization.</p><p><br></p><p>This is a <strong>VP-level leadership opportunity</strong> for someone who can operate at the intersection of product, technology, engineering, and enterprise strategy. The individual will be responsible for translating business priorities into scalable technology capabilities while helping establish a stronger internal product and engineering organization.</p><p><br></p><p>A significant component of this role will be leading and developing a team of approximately <strong>7–10 product engineers</strong> while helping transition key technology capabilities that have historically relied heavily on external contractors toward greater internal ownership and expertise.</p><p><br></p><p><strong>What You’ll Do:</strong></p><ul><li>Own and drive enterprise product strategy, translating organizational priorities into actionable technology roadmaps and scalable product capabilities.</li><li>Lead, mentor, and develop a team of approximately <strong>7–10 product engineers</strong>, establishing clear expectations, accountability, and strong product-development practices.</li><li>Lead the initiative to build greater <strong>in-house product and engineering capability</strong>, reducing dependency on contractor-led delivery while ensuring continuity and knowledge transfer.</li><li>Serve as a critical <strong>bridge between technology and the broader global organization</strong>, translating complex technical concepts into clear business implications and ensuring business priorities are understood by technical teams.</li><li>Partner closely with engineering, architecture, business leaders, and other senior stakeholders to align product strategy with technical execution.</li><li>Provide leadership around internally developed applications and enterprise platforms, with the ability to understand how systems have been built, how they operate, and how they should evolve.</li><li>Establish and execute product roadmaps tied to measurable business outcomes, adoption, scalability, efficiency, and long-term value.</li><li>Lead product discovery and validation efforts to identify high-value business problems and determine the right technology solutions.</li><li>Develop and champion business cases for major initiatives, including ROI, investment requirements, risks, priorities, and measurable success criteria.</li><li>Establish product-development standards, prioritization frameworks, governance, and decision-making processes.</li><li>Define and monitor KPIs around product adoption, business value, operational efficiency, and capability reuse.</li><li>Remain hands-on enough to challenge assumptions, remove roadblocks, refine requirements, and help teams navigate complex delivery issues.</li><li>Stay current on emerging technologies, including <strong>AI and modern product-development practices</strong>, and identify where they can create meaningful business value.</li></ul>
<p><strong>Machine Learning Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>Based 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.</p><p><br></p><p><strong>Role Summary</strong></p><p>The 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. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments.</p><p><br></p><p><strong>Key Responsibilities</strong></p><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>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</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><p><strong>Additional Details</strong></p><ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
<p>We are seeking a <strong>Senior Cloud Engineer</strong> to join a collaborative team supporting strategic cloud initiatives in Oklahoma City, Oklahoma. This Long-term Contract opportunity is ideal for an experienced cloud professional who excels at designing scalable infrastructure, driving automation, and leading cloud modernization efforts across enterprise environments. The role offers the opportunity to influence cloud strategy, architect platform solutions, and contribute to emerging technologies, including AI-enabled capabilities.</p><p><br></p><p>Responsibilities:</p><p>• Support the implementation, configuration, and ongoing maintenance of cloud infrastructure across enterprise environments.</p><p>• Develop and refine Infrastructure as Code solutions using Terraform to create consistent and repeatable deployments.</p><p>• Partner with technical teams to establish cloud architecture patterns, governance practices, and secure platform foundations.</p><p>• Contribute to workload modernization and migration efforts as applications and services evolve within the cloud ecosystem.</p><p>• Assist with CI/CD improvements by helping enhance automation workflows and supporting the use of GitHub-based delivery pipelines.</p><p>• Participate in building a new data platform that incorporates modern cloud services and AI-oriented capabilities.</p><p>• Create scripts and automated processes that streamline operations, reduce manual effort, and improve reliability.</p><p>• Work closely with infrastructure, application, and data stakeholders to deliver scalable, resilient, and secure cloud solutions.</p><p>• Help monitor platform health, support operational excellence initiatives, and strengthen overall service stability.</p>
We are looking for a Data Engineer to create and enhance scalable data solutions that strengthen business intelligence capabilities across the organization. This role partners with technology leaders, software teams, delivery stakeholders, and external partners to turn business needs into reliable technical outcomes. The position is well suited to someone who thrives in an agile setting, works confidently with minimal supervision, and collaborates effectively across teams. This opportunity is based in Nashville, Tennessee.<br><br>Responsibilities:<br>• Build and refine scalable data pipelines and platform components that support reporting, analytics, and enterprise intelligence initiatives.<br>• Assess modern cloud and big data technologies, gain working knowledge of new tools quickly, and recommend practical options based on business needs.<br>• Translate technical and business requirements into clearly defined tasks, implementation plans, and measurable deliverables.<br>• Write maintainable, efficient, and high-quality code that supports stable and dependable data solutions.<br>• Review existing processes and code for gaps or performance issues, then propose and implement improvements.<br>• Adjust priorities effectively in response to evolving project demands, timelines, and stakeholder expectations.<br>• Take ownership of delivered solutions by documenting design decisions and explaining functionality to team members and partners.<br>• Contribute to additional data engineering efforts that advance organizational goals and strengthen outcomes for end users.
<p>This distribution and manufacturing organization is seeking a Systems Engineer to join a growing technology team supporting ERP platform enhancements, cybersecurity initiatives, systems integrations, and enterprise applications. This role will play a key part in an upcoming ERP release, helping drive development, testing, user enablement, and ongoing system improvements across the business.</p><p><br></p><p><strong>POSITION TITLE:</strong> Systems Engineer</p><p><strong>LOCATION:</strong> Irving, TX (Hybrid, 3 days onsite)</p><p><strong>SALARY:</strong> $130,000 - $140,000</p><p><br></p><p><strong>RESPONSIBILITIES</strong></p><ul><li>Support and enhance a proprietary ERP environment, including development, testing, troubleshooting, and user training activities related to upcoming system releases.</li><li>Design, build, and maintain integrations between ERP, enterprise applications, security platforms, and third-party business systems.</li><li>Administer and support Microsoft 365 technologies including Teams, Outlook, OneDrive, SharePoint, Defender, Entra ID, Enterprise Applications, and related services.</li><li>Develop and maintain automation, scripting, and API-based solutions utilizing REST APIs, Microsoft Graph API, Python, and other programming tools.</li><li>Partner with infrastructure and cybersecurity teams to strengthen system security, identity management, endpoint protection, and network integrations.</li><li>Participate in application lifecycle activities including requirements gathering, program flow analysis, SDLC processes, testing, deployment, and production support.</li><li>Provide rotational on-call support approximately one weekend per month and assist with issue resolution across multiple technology domains.</li></ul><p><br></p>
Position: Data Engineer<br>Location: Oskaloosa, IA / Des Moines, IA -- Onsite<br>Salary: $100,000 - $120,000 base + exceptional benefits<br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. ***<br><br>Data Engineer<br>Shape the Future of Enterprise Analytics, AI & Data Innovation<br>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?<br>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.<br>This role is ideal for someone who enjoys being hands-on, partnering with the business, and building modern data solutions that drive meaningful outcomes.<br>What You'll Do<br> • Design and develop scalable data models, semantic layers, and enterprise data solutions<br> • Build trusted data structures that support analytics, reporting, AI, and business intelligence initiatives<br> • Develop and optimize cloud-based data pipelines and integrations<br> • Improve data governance, lineage, metadata management, and observability practices<br> • Create automated data quality and validation frameworks<br> • Implement CI/CD processes and modern DataOps best practices<br> • Optimize SQL performance across warehouses, lakehouses, and reporting environments<br> • Partner with analysts and business stakeholders to transform complex problems into actionable solutions<br> • Contribute to technical standards, mentoring, documentation, and architectural best practices<br>What We're Looking For<br>Core Qualifications<br> • Strong experience with data modeling and semantic modeling<br> • Hands-on experience with Microsoft Fabric, Azure, and Power BI<br> • Advanced SQL development and performance optimization skills<br> • Experience with Git, CI/CD, and modern data engineering practices<br> • Ability to translate business requirements into scalable technical solutions<br> • Experience developing enterprise data pipelines and analytics platforms<br> • A plus if you have data governance, data warehouse, data lake and or DBT experience.<br><br>*** 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. ***
<p>We are looking for a Linux/Unix Systems Engineer to serve as the technical authority for a large enterprise Linux environment. This role will lead the design, engineering, modernization, security, and operational support of Red Hat Enterprise Linux (RHEL) and Oracle Linux platforms.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design and maintain enterprise Linux infrastructure including RHEL and Oracle Linux environments.</p><p>· Develop and manage automation and configuration management solutions using Ansible, Ansible Automation Platform, and Red Hat Satellite.</p><p>· Lead operating system lifecycle management, upgrades, and migration initiatives across RHEL platforms.</p><p>· Establish and maintain security hardening standards aligned with CIS Benchmarks, DISA STIGs, FISMA, and NIST 800-53 requirements.</p><p>· Design and test high availability, backup, disaster recovery, and capacity planning solutions.</p><p>· Act as the senior escalation point for complex Linux platform incidents and critical outages.</p><p>· Lead root cause analysis efforts and drive remediation strategies.</p><p>· Mentor junior administrators and provide technical guidance across the team.</p><p>· Participate in architecture reviews, change control boards, and technical planning sessions.</p><p>· Develop and maintain engineering documentation, SOPs, and design standards.</p><p>· Install, configure, monitor, and maintain Linux-based servers and systems.</p><p>· Manage system performance, patching, vulnerability remediation, and compliance activities.</p><p>· Troubleshoot hardware, software, networking, and infrastructure issues.</p><p>· Support scheduled maintenance activities, upgrades, and after-hours incident response as needed.</p>
We are looking for an IT Analyst/Developer to support and advance enterprise platform initiatives for an automotive organization in Marysville, Ohio. This Long-term Contract position focuses on leading enhancements within the Dassault Systèmes 3DEXPERIENCE environment, partnering with business teams, technical resources, and external vendors to deliver dependable solutions. The role is primarily onsite four days per week and is well suited for someone who combines strong technical understanding with disciplined project coordination.<br><br>Responsibilities:<br>• Drive enhancement initiatives within the Dassault Systèmes 3DEXPERIENCE platform by organizing scope, schedules, and cross-functional execution activities.<br>• Collaborate with business stakeholders to define needs, translate objectives into clear requirements, and align delivery plans with operational priorities.<br>• Oversee project progress across multiple platform environments, ensuring development, validation, and release activities remain on track.<br>• Coordinate testing efforts, monitor defects, and guide issue remediation to support stable and timely deployments.<br>• Provide consistent communication to stakeholders through project updates, status reporting, and risk escalation when needed.<br>• Partner with internal technical teams and third-party vendors to implement new capabilities that satisfy agreed business outcomes.<br>• Manage deployment readiness by tracking dependencies, confirming deliverables, and supporting smooth production rollout activities.<br>• Facilitate resolution of project obstacles by identifying risks early and driving action plans with the appropriate teams.
Position: Principal Data Engineer | Direct Hire Permanent<br>Location: Remote<br>Salary: $180,000 - $225,000 base plus SIGNIFICANT bonus and or equity potential<br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***<br><br>Build the data foundation that powers analytics, AI, and enterprise decision-making.<br>We’re hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you’ll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases.<br><br>What You’ll Own<br> • Design and build a modern data platform across ingestion, transformation, storage, and consumption<br> • Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document)<br> • Establish data architecture standards, modeling practices, and engineering frameworks<br> • Create secure, multi-tenant data environments with strong governance and access controls<br> • Build data models and serving layers for reporting, self-service analytics, and AI workloads<br> • Evaluate and implement cloud data technologies for performance, cost, and scalability<br> • Partner with engineering and business leaders to align data strategy with company priorities<br> • Guide vendors and external partners while enforcing internal data standards and quality<br><br>What You Bring<br> • 10+ years of experience in data engineering, including large-scale architecture ownership<br> • Strong programming skills in Python and experience with tools like Spark, Kafka, or similar<br> • Expertise building batch and streaming pipelines in cloud environments (AWS preferred)<br> • Deep knowledge of data modeling for both transactional and analytical systems<br> • Hands-on experience with Snowflake, Redshift, or modern data platforms<br> • Strong understanding of data governance, privacy, and secure data design<br> • Experience with ETL frameworks, testing, and CI/CD-driven data workflows<br> • Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders<br><br>Why This Role<br> • Architect and build a next-generation data platform from foundational level<br> • Direct impact on analytics, product insights, and AI capabilities<br> • High ownership, visibility, and influence across engineering and leadership<br> • Opportunity to define standards, tooling, and long-term data strategy<br><br>If you’re a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front.<br><br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE 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: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
<p><strong>Systems Engineer</strong></p><p><br></p><p><strong>Overview</strong></p><p>An organization is seeking a Systems Engineer to support enterprise cloud technologies, business applications, automation initiatives, and IT infrastructure operations. This individual will help improve system reliability, streamline operational processes, and support ongoing technology modernization efforts across the organization.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Administer and support enterprise cloud and collaboration platforms</li><li>Develop and maintain automation solutions to improve operational efficiency</li><li>Support identity and access management initiatives</li><li>Manage endpoint technologies and related platform services</li><li>Assist with system integrations and application support efforts</li><li>Monitor platform performance, availability, and operational health</li><li>Troubleshoot infrastructure, cloud, and application-related issues</li><li>Create and maintain technical documentation and operational procedures</li><li>Collaborate with technical teams and business stakeholders on technology initiatives</li><li>Identify opportunities for process improvement, automation, and operational excellence</li></ul>
<p>We are looking for a Data Engineer to design, build, and maintain scalable data pipelines on Microsoft Azure. This role will support enterprise reporting, analytics, and machine learning initiatives by ensuring the availability and integrity of critical business data.</p><p>Responsibilities</p><ul><li>Design and develop ETL/ELT data pipelines</li><li>Build and maintain Azure data platforms and data lakes</li><li>Integrate data from APIs, databases, and third-party systems</li><li>Develop data models supporting analytics and reporting</li><li>Optimize database and pipeline performance</li><li>Implement data quality and monitoring solutions</li><li>Collaborate with analysts, developers, and business users</li></ul><p><br></p>
We are looking for a Product Manager to join a Services organization and help shape platform capabilities that support infrastructure-focused software solutions. This position combines strategic product leadership with strong cross-functional partnership, connecting technical platform services with business needs across internal product groups. The role is ideal for someone who can turn complex stakeholder input into clear priorities, practical roadmaps, and measurable customer value.<br><br>Responsibilities:<br>• Partner with engineering, product, and business teams to connect platform capabilities with the needs of infrastructure-focused solutions and customer use cases.<br>• Convert domain-specific challenges and opportunities into clear product priorities, actionable requirements, and well-defined delivery plans.<br>• Build strong working relationships with internal stakeholders to understand goals, constraints, and long-term business drivers that influence platform direction.<br>• Evaluate where capabilities should reside within the broader technology ecosystem, considering scalability, reuse, and adoption across multiple products.<br>• Guide discussions among diverse stakeholders to reach informed decisions that balance technical feasibility, customer benefit, and business strategy.<br>• Manage product activities such as roadmap planning, backlog refinement, prioritization, and coordination with Agile delivery teams.<br>• Champion transparent communication and a collaborative team environment that encourages trust, alignment, and shared ownership of outcomes.<br>• Travel as needed to support global collaboration, stakeholder engagement, and effective coordination across time zones.
<p>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.</p><p><br></p><p>Responsibilities:</p><p>• Build demand for priority products and service offerings by aligning technical recommendations with customer application needs.</p><p>• Serve as a technical resource for installed systems, including issue review, return support, troubleshooting guidance, and field-based problem resolution.</p><p>• Assess customer fluid systems, identify performance or efficiency gaps, and document findings with solution-focused recommendations.</p><p>• Support customers with engineering-related assistance such as maintenance guidance, system adjustments, and application troubleshooting.</p><p>• Create and deliver tailored technical presentations that address customer challenges and demonstrate the value of proposed solutions.</p><p>• Partner with sales and customers to identify custom fabrication opportunities, including development of drawings, quotes, and P& ID documentation.</p><p>• Recommend appropriate products for specific operating environments and application requirements.</p><p>• Provide technical training and application support to internal teams and customers on product use and best practices.</p><p>• Work closely with peer engineers and business partners to share knowledge, refine solutions, and support broader marketing or operational initiatives.</p><p><br></p><p>Benefits:</p><ul><li>Medical</li><li>Vision</li><li>Dental</li><li>401K</li><li>PTO</li></ul><p><br></p>
<p>**************THIS IS NOT A REMOTE POSITION***************************</p><p>Robert Half is expanding its full-time team of IT consultants in Minnesota. As a trusted technology partner, we deliver strategic solutions that bridge legacy systems with modern workplace platforms. This role is ideal for experienced engineers who lead with vision, architect with precision, and implement with impact—while guiding clients through complex infrastructure and security transformations.</p><p><br></p><p>What You’ll Do:</p><p><br></p><p>As an Infrastructure Engineer/Architect – Cloud, Security & Workplace Technologies, you’ll lead the design and delivery of secure, scalable infrastructure solutions across cloud and on-prem environments. You’ll work directly with clients to assess needs; architect tailored systems and implement technologies that drive operational excellence and security resilience.</p><p><br></p><p>Key Responsibilities:</p><ul><li>Lead the design and implementation of Azure-based cloud architectures, ensuring scalability, security, and performance.</li><li>Develop automation frameworks using PowerShell to streamline infrastructure operations.</li><li>Architect and manage virtualized environments using VMware and Hyper-V.</li><li>Design and deploy Windows Server and Active Directory solutions, including hybrid identity integrations with Microsoft Entra ID.</li><li>Strategically implement and manage Microsoft Intune and Microsoft 365 environments.</li><li>Define and enforce enterprise-grade security controls across infrastructure layers.</li><li>Conduct security assessments, firewall configurations, and compliance audits.</li><li>Serve as a technical advisor in client engagements, translating business needs into actionable infrastructure strategies.</li><li>Collaborate cross-functionally with client stakeholders, project managers, and internal teams.</li><li>Maintain detailed documentation of architecture, configurations, and operational procedures.</li><li>Stay ahead of emerging technologies and proactively recommend improvements.</li></ul><p><br></p><p>Interested candidates should contact Sally at 612.249.0254 or submit resumes to sally.lander@roberthalf.(com).</p><p><br></p><p><br></p><p><br></p>
<p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a <strong>Site Reliability Engineer</strong> <strong>(contract).</strong> In this role, you will support and enhance a large-scale cloud-based SaaS environment. This role focuses on improving platform reliability, scalability, security, and operational efficiency while leveraging modern cloud-native technologies and automation practices. <strong>This role is onsite in Austin, Tx.</strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, implement, and maintain highly available, secure, and scalable cloud infrastructure.</li><li>Manage and optimize Kubernetes-based container platforms and GitOps deployments.</li><li>Deploy application releases and infrastructure updates.</li><li>Develop and improve monitoring, alerting, and automation capabilities.</li><li>Automate infrastructure provisioning and operational processes using Infrastructure-as-Code.</li><li>Participate in incident response, troubleshooting, and on-call support rotations.</li><li>Identify reliability risks and implement proactive improvements.</li><li>Collaborate with engineering teams to enhance platform performance, scalability, and availability.</li></ul>
We are looking for an Application Support Engineer to provide hands-on support for enterprise Windows environments and help maintain secure, reliable technology operations in Jacksonville, Florida. This role focuses on endpoint administration, identity services, and security tools across both on-premises and cloud platforms. The ideal candidate brings strong troubleshooting ability, works well across technical teams, and is committed to improving system performance, compliance, and user support.<br><br>Responsibilities:<br>• Oversee the deployment, configuration, and ongoing support of Windows 10 and Windows 11 endpoints across the organization.<br>• Administer Microsoft Intune to manage device policies, software updates, patching schedules, and compliance standards.<br>• Support Azure-based services with an emphasis on identity management, endpoint administration, and platform security.<br>• Maintain both on-premises Active Directory and Azure AD / Entra ID, including user access, directory synchronization, and account lifecycle processes.<br>• Contribute to security operations by supporting endpoint protection, identity safeguards, and access governance measures.<br>• Manage and support network access control solutions such as Portnox or comparable platforms.<br>• Configure and monitor Azure security and compliance capabilities, including Conditional Access, Defender, security baselines, and policy controls.<br>• Troubleshoot basic network and connectivity issues affecting user access, endpoint communication, and general infrastructure services.<br>• Serve as an advanced escalation resource for technical support issues, delivering effective resolution for complex end-user problems.<br>• Partner with IT, Security, and Infrastructure teams to refine documentation, strengthen operational practices, and improve the overall security posture.
<p>We are looking for a Data Engineer to build and enhance reporting and data solutions that help teams make informed business decisions across the organization. This role partners with groups such as asset management, acquisitions, accounting, and HR to translate business needs into scalable dashboards, reliable data pipelines, and actionable insights. Based in Los Angeles, California, the position is ideal for someone who combines strong technical depth with the ability to explain findings clearly to a range of stakeholders.</p><p><br></p><p>Responsibilities:</p><p>• Create and refine dashboards, reports, and automated data outputs using tools such as Python, Excel, and Power BI to support operational and strategic reporting needs.</p><p>• Examine large and varied datasets to uncover meaningful trends, performance indicators, and opportunities for improvement.</p><p>• Guide and support entry-level BI team members by reviewing work, sharing best practices, and contributing to their career growth.</p><p>• Partner with stakeholders across multiple business functions to define reporting goals, gather technical requirements, and deliver effective data solutions.</p><p>• Translate technical concepts and analytical results into clear recommendations for non-technical audiences.</p><p>• Contribute to cross-department initiatives that improve data availability, reporting consistency, and overall usability of business information.</p><p>• Develop and maintain queries, procedures, and data workflows to support extraction, transformation, and loading activities across reporting environments.</p><p>• Monitor data quality through validation checks, issue resolution, and routine audits to maintain accuracy and reliability.</p><p>• Administer BI platforms with attention to performance, access control, and system stability while assisting users with adoption and training.</p><p><br></p><p>For immediate consideration, apply now and direct message Reid Gormly on LinkedIn</p>
<p>We are looking for an experienced Site Reliability Engineer to strengthen observability and operational excellence across a Microsoft Azure environment.. This Long-term Contract position will work closely with DevOps and engineering teams to create reliable monitoring practices, improve system insight, and support stable production operations. The role is ideal for someone who can translate reliability goals into practical monitoring solutions, actionable alerts, and measurable service performance improvements.</p><p><br></p><p>Responsibilities:</p><p>• Create and evolve an observability framework that supports Azure-based platforms as well as integrated third-party services.</p><p>• Develop meaningful dashboards, alerting rules, log analysis workflows, and distributed tracing capabilities using platforms such as Datadog or Dynatrace.</p><p>• Utilize Azure monitoring services, including Azure Monitor, Log Analytics, Application Insights, Managed Prometheus, and Azure Managed Grafana, to expand operational visibility.</p><p>• Evaluate system behavior across applications, infrastructure, and dependent services to improve performance tracking and service health awareness.</p><p>• Collaborate with DevOps and software engineering teams to strengthen reliability practices, accelerate issue detection, and improve response to production incidents.</p><p>• Analyze current monitoring coverage to uncover blind spots, reduce unnecessary alert volume, and support faster root-cause identification.</p><p>• Support infrastructure and application reliability initiatives within cloud-native environments, including Kubernetes-based deployments and Azure-hosted services.</p><p>• Contribute to implementation efforts tied to CI/CD workflows and infrastructure automation to ensure observability is consistently embedded in delivery processes.</p>