We are looking for an AI Consultant to join a contract opportunity in New Jersey. This role is ideal for a technically strong educator and advisor who can translate advanced AI concepts into practical learning experiences for engineers, professionals, and business teams. The position combines hands-on instruction, curriculum development, and learner coaching while keeping training programs aligned with current industry applications and emerging digital technologies.<br><br>Responsibilities:<br>• Lead live training sessions covering artificial intelligence, machine learning, generative AI, data science, cloud technologies, cybersecurity, and related technical domains.<br>• Build and facilitate practical labs, workshops, and applied exercises that help learners use modern tools and frameworks in realistic scenarios.<br>• Guide participants through assignments, projects, and capstone work by offering technical mentorship, feedback, and problem-solving support.<br>• Develop and refine instructional materials, lab content, assessments, and program modules to keep learning paths current and effective.<br>• Tailor delivery methods to suit different audience backgrounds, experience levels, and business needs.<br>• Incorporate relevant industry examples, use cases, and market-informed perspectives into training sessions to strengthen real-world application.<br>• Monitor learner performance, review submissions, and provide structured evaluations that support strong completion rates and measurable outcomes.<br>• Partner with internal stakeholders to shape learning programs that reflect evolving client expectations and technology trends.
<p><strong>Software Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading artificial intelligence and advanced analytics organization is seeking an Software Engineer to help develop next-generation AI orchestration and decision-support platforms. Based in Los Angeles, California, the company specializes in integrating complex data sources into scalable intelligence solutions that support mission-critical operations, advanced analytics, and organizational workflows. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Software Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. This hands-on role focuses on developing production-ready AI applications, agent frameworks, workflow orchestration systems, retrieval pipelines, and model-serving infrastructure. The ideal candidate combines strong software engineering fundamentals with expertise in AI systems, distributed architectures, and scalable platform development.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design and implement intelligent workflow systems for research, analysis, automation, and decision-support use cases.</li><li>Develop scalable retrieval, search, and knowledge management capabilities across structured and unstructured datasets.</li><li>Build backend services, APIs, and platform capabilities supporting AI-driven applications.</li><li>Create resilient workflow orchestration patterns for long-running, distributed, and fault-tolerant processes.</li><li>Develop authorization, permission management, auditing, and governance mechanisms within AI platforms.</li><li>Optimize retrieval, inference, and execution performance across diverse deployment environments.</li><li>Fine-tune, evaluate, and integrate open-source AI models to support specialized business workflows.</li><li>Implement model routing, inference optimization, caching, and fallback strategies.</li><li>Build evaluation frameworks that measure system accuracy, reliability, performance, and operational effectiveness.</li><li>Develop observability, monitoring, alerting, and troubleshooting capabilities across platform components.</li><li>Partner with product, data, machine learning, infrastructure, security, and customer-facing teams to deliver scalable solutions.</li><li>Contribute to technical architecture, engineering standards, and long-term platform strategy.</li></ul><p><strong>Additional Details</strong></p><ul><li>Fully onsite 5 days per week</li><li>Individual contributor role with substantial technical ownership</li><li>Opportunity to work on advanced AI, automation, retrieval, and knowledge graph technologies</li><li>Staff-level candidates may provide technical leadership, mentorship, and architecture guidance</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions.<br><br>Responsibilities:<br>• Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka.<br>• Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake.<br>• Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers.<br>• Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs.<br>• Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency.<br>• Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams.<br>• Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R.<br>• Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments.<br>• Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability.<br>• Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
<p>Robert Half is working with a client in Lawrenceville, GA looking for an AI Engineer.</p><ul><li>Partner with business stakeholders to identify opportunities where AI can improve workflows, productivity, and decision-making.</li><li>Translate business challenges into scalable AI and automation solutions.</li><li>Design, develop, and implement AI-powered tools and applications.</li><li>Evaluate emerging AI technologies and recommend practical business use cases.</li><li>Work cross-functionally with leaders across finance, operations, human resources, and other business functions.</li><li>Identify repetitive and manual processes that can be automated or enhanced through AI.</li><li>Support the development of an enterprise AI roadmap and project pipeline.</li><li>Create proof-of-concepts, prototypes, and production-ready AI solutions.</li><li>Help establish best practices, governance standards, and AI adoption strategies.</li><li>Drive successful execution from concept through implementation and user adoption.</li></ul>
<p>Robert Half is working with a client in Lawrenceville, GA who is seeking an AI Engineer.</p><ul><li>Partner with business stakeholders to identify opportunities where AI can improve workflows, productivity, and decision-making.</li><li>Translate business challenges into scalable AI and automation solutions.</li><li>Design, develop, and implement AI-powered tools and applications.</li><li>Evaluate emerging AI technologies and recommend practical business use cases.</li><li>Work cross-functionally with leaders across finance, operations, human resources, and other business functions.</li><li>Identify repetitive and manual processes that can be automated or enhanced through AI.</li><li>Support the development of an enterprise AI roadmap and project pipeline.</li><li>Create proof-of-concepts, prototypes, and production-ready AI solutions.</li><li>Help establish best practices, governance standards, and AI adoption strategies.</li><li>Drive successful execution from concept through implementation and user adoption.</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 an AI Engineer to help build and enhance intelligent software solutions in Fort Washington, Pennsylvania. This Long-term Contract opportunity is ideal for a senior-level engineer who combines deep .NET and C# expertise with practical experience creating AI-driven applications on the Microsoft ecosystem. In this role, you will partner with technical and business teams to deliver scalable products, improve how intelligent agents operate, and introduce modern AI capabilities into enterprise environments.<br><br>Responsibilities:<br>• Create and support enterprise applications and backend services using .NET and C# with a focus on scalability, reliability, and maintainability.<br>• Develop AI-enabled features and agent-based solutions using Microsoft technologies such as Azure AI services, Azure OpenAI, Cognitive Services, and related platform tools.<br>• Connect intelligent agents with business platforms, APIs, and operational workflows so they can perform useful actions across enterprise systems.<br>• Refine model performance by shaping prompts, structuring contextual inputs, and improving how agents interpret and respond to requests.<br>• Build retrieval-based solution patterns, including vector search and indexing approaches, to strengthen response quality and access to relevant knowledge.<br>• Implement orchestration logic, state handling, memory strategies, and feedback mechanisms that support more effective agent behavior and task execution.<br>• Assess AI outputs and agent performance through testing, validation methods, and continuous optimization to improve accuracy and dependability.<br>• Work closely with product, data, engineering, and DevOps teams while also reviewing code, guiding less-experienced developers, and promoting strong development standards.
We are looking for a Snowflake Data Engineer to build modern data solutions that support analytics, AI, and enterprise decision-making. This role will focus on creating reliable pipelines, scalable data models, and secure data products within a Snowflake environment. The position is based in Radnor, Pennsylvania, and offers the opportunity to work closely with engineering, security, product, and business teams on high-impact initiatives.<br><br>Responsibilities:<br>• Architect and maintain scalable data pipelines, transformation workflows, and structured data models within Snowflake to support reporting, analytics, and AI use cases.<br>• Develop and deploy AI and machine learning capabilities using Snowflake-native tools, including intelligent agents, search-driven experiences, and customer-facing applications where applicable.<br>• Define and manage semantic views and business logic layers that provide governed, consistent definitions for analytics and AI consumption.<br>• Implement and support data ingestion frameworks using technologies such as Kafka, Snowpipe, APIs, Openflow, and third-party connectors, including integrations with enterprise platforms like NetSuite.<br>• Create reusable engineering utilities and automation with SQL, SnowSQL or related Snowflake tooling, Python, and JavaScript when appropriate.<br>• Establish strong production standards through automated testing, data quality validation, observability, exception handling, and controlled deployment processes.<br>• Tune queries, pipelines, AI workloads, and data structures to improve performance, scalability, maintainability, and downstream usability.<br>• Design secure data-sharing solutions and data-product delivery patterns for internal stakeholders, external partners, and customers.<br>• Collaborate with platform administrators and security teams to align access controls, governance requirements, identity integration, and production readiness for Snowflake solutions.<br>• Investigate and resolve issues affecting pipelines, semantic models, applications, and data quality while partnering across technical and business teams to deliver durable solutions.
<p>Our client is seeking a highly technical and innovative AI Solutions Engineer to design, build, and maintain internal applications, automations, and AI-powered tools that improve operational efficiency across the organization. This is not a traditional product development role. Instead, this individual will focus on solving business challenges through custom software development, workflow automation, system integrations, and practical applications of artificial intelligence.</p><p>The ideal candidate thrives in fast-paced environments, enjoys transforming ambiguous business needs into working solutions, and is comfortable partnering with both technical and non-technical stakeholders. This position offers the opportunity to work on a wide variety of projects while leveraging modern software development practices, cloud technologies, and AI capabilities to drive operational excellence.</p><p>Key Responsibilities</p><ul><li>Design, develop, and support internal applications, dashboards, automation tools, and workflow solutions that enhance business operations.</li><li>Build and integrate AI and Large Language Model (LLM) capabilities into existing processes, including document analysis, classification, workflow routing, content generation, summarization, and reporting.</li><li>Develop and maintain integrations between internal systems and third-party platforms using APIs and web services.</li><li>Rapidly prototype new solutions, gather business feedback, and evolve prototypes into scalable, maintainable production applications.</li><li>Collaborate with cross-functional teams to identify process improvement opportunities and implement technology-driven solutions.</li><li>Ensure applications meet security, privacy, governance, and compliance requirements.</li><li>Create and maintain technical documentation, architecture diagrams, and operational procedures to ensure ongoing supportability and audit readiness.</li><li>Monitor, troubleshoot, and enhance deployed solutions to ensure reliability and performance.</li></ul><p><br></p>
<p><strong>Data Scientist III </strong>(Supply Chain Optimization & Forecasting)</p><p>Long Term Contract </p><p>Hybrid Philadelphia, PA </p><p>Pay: Available on W2 </p><p><strong>Overview</strong></p><p>We are seeking an experienced <strong>Data Scientist III</strong> to support a Supply Chain Planning Center of Excellence focused on forecasting, inventory optimization, and advanced analytics. This individual will design and deploy data science and operations research solutions that improve demand planning, inventory performance, and supply chain decision-making across complex business networks.</p><p>The ideal candidate brings a strong blend of data science, mathematical optimization, forecasting, and supply chain expertise, with experience developing and operationalizing scalable models that drive measurable business outcomes.</p><p><strong>Key Responsibilities</strong></p><p>Forecasting & Data Science</p><ul><li>Develop and deploy time-series forecasting and machine learning models to improve demand planning performance.</li><li>Build solutions for demand sensing, anomaly detection, predictive analytics, and forecast improvement.</li><li>Perform feature engineering, model development, validation, and statistical analysis using large-scale supply chain datasets.</li><li>Design and implement end-to-end data science pipelines, including data preparation, deployment, monitoring, and continuous improvement.</li><li>Evaluate model performance using forecasting and business metrics such as forecast accuracy, bias, attainment, and error measurements.</li><li>Partner with cross-functional teams to scale and productionize advanced analytics solutions.</li></ul><p>Inventory Optimization & MEIO</p><ul><li>Lead the development, enhancement, and ownership of Multi-Echelon Inventory Optimization (MEIO) models.</li><li>Translate business requirements, operational constraints, and planning policies into mathematical optimization models and decision-support tools.</li><li>Develop optimization logic that balances inventory investment, service levels, safety stock, lead-time variability, network constraints, and cost objectives.</li></ul><p>Optimization Engineering</p><ul><li>Build and maintain mathematical optimization models using commercial optimization solvers such as Gurobi or similar platforms.</li><li>Apply optimization techniques including linear programming, mixed-integer programming, scenario modeling, simulation, and uncertainty-aware optimization.</li></ul><p>Data Engineering & Operationalization</p><ul><li>Develop and maintain SQL-based ETL processes and data pipelines that support optimization and forecasting solutions.</li><li>Partner with data engineering teams to ensure data quality, availability, and reliability.</li><li>Create monitoring, governance, and documentation processes to support production-ready solutions.</li></ul><p><br></p>
<p>We are looking for a Sr. Embedded Software Engineer to help build advanced flight software in Orlando, Florida. In this role, you will create and refine embedded solutions that support imaging payloads, onboard intelligence, and radio communications for space-based systems. You will work closely with cross-functional engineering teams to bring hardware and software together, validate performance, and support mission readiness from development through operations.</p><p><br></p><p>Responsibilities:</p><p>• Design, implement, and improve embedded software for CubeSat subsystems, including imaging, onboard processing, and communications components.</p><p>• Develop reliable applications and low-level code using C, C++, and Python to support flight and test objectives.</p><p>• Partner with hardware engineers to integrate sensors, processors, and embedded modules into mission-ready systems.</p><p>• Build and optimize onboard image processing and AI-enabled workflows for timely analysis of mission data.</p><p>• Create and verify software that supports radio links, telemetry, command handling, and spacecraft tracking functions.</p><p>• Plan and execute verification activities such as unit testing, simulation, and hardware-in-the-loop validation to confirm system performance.</p><p>• Troubleshoot embedded software behavior in constrained and space-like environments, identifying root causes and implementing fixes.</p><p>• Contribute to ground support tools used for receiving, processing, and reviewing spacecraft data.</p><p>• Produce clear technical documentation and collaborate with electrical, mechanical, and mission engineering teams throughout development.</p>
We are looking for an Artificial Intelligence (AI) Engineer to create practical solutions that improve how teams work, analyze information, and make decisions. This position is based in Jupiter, Florida, and focuses on designing intelligent applications, workflow automations, and data-driven tools that support business and financial operations. You will collaborate with stakeholders across the organization to translate open-ended challenges into reliable, scalable products built with modern engineering and cloud technologies.<br><br>Responsibilities:<br>• Design and develop internal AI-powered applications, dashboards, and automation tools that streamline day-to-day business activities.<br>• Integrate APIs, databases, and core business platforms to reduce manual effort and improve process efficiency.<br>• Create reporting, research, and analytical workflows that use AI capabilities to deliver faster and more useful insights.<br>• Build solutions that assist with investment analysis, portfolio oversight, and broader financial decision support.<br>• Automate recurring deliverables across finance, accounting, and operational reporting functions.<br>• Develop and maintain solutions within Microsoft 365, Azure, GitHub, and related technology environments.<br>• Define engineering best practices by establishing documentation, reusable standards, and repeatable development processes.<br>• Assess existing technology architecture, system integrations, access controls, and security considerations to support reliable implementation.<br>• Partner closely with business users and leadership to understand needs, prioritize opportunities, and deliver functional tools that solve real problems.
We are looking for a Microsoft Fabric Data & Analytics Program Lead to guide the development of a modern enterprise analytics environment for a financial services organization in Middletown, Pennsylvania. This contract opportunity with permanent potential will lead the rollout of Microsoft Fabric as a trusted reporting and analytics platform while delivering a high-impact initial use case that demonstrates measurable business value. The role combines program leadership, platform architecture, and cross-functional collaboration to create scalable data solutions, strengthen governance, and expand internal capability across business and technology teams.<br><br>Responsibilities:<br>• Shape the overall strategy for Microsoft Fabric, including platform governance, delivery planning, adoption methods, and long-term operating practices.<br>• Partner with leaders across finance, treasury, risk, compliance, operations, product, and technology to identify priority analytics initiatives and organize them into a value-driven roadmap.<br>• Architect and oversee solutions across Fabric capabilities such as OneLake, lakehouses, warehouses, data pipelines, notebooks, semantic models, Power BI, real-time analytics, and AI-enabled experiences.<br>• Direct the integration of data from Azure-based services, SharePoint, Salesforce, operational platforms, application telemetry, and approved identity or access-related sources.<br>• Establish enterprise standards for workspace design, naming conventions, deployment processes, monitoring, lineage tracking, lifecycle administration, backup planning, and disaster recovery readiness.<br>• Work closely with security, legal, IT, risk, and business data owners to enforce appropriate access controls, privacy safeguards, retention requirements, audit support, segregation of duties, and regulatory alignment.<br>• Define data management practices covering ownership, stewardship, quality controls, reconciliation methods, master and reference data usage, and certification criteria for trusted reporting assets.<br>• Lead delivery of the initial Fed Account Management analytics use case, including ingestion, transformation, reporting, dashboard development, analysis, forecasting, alerting, and future machine learning opportunities.<br>• Manage platform performance, licensing, capacity, cost, and usage trends while recommending improvements that optimize efficiency and support sustainable growth.<br>• Produce program documentation and communications such as milestone plans, risk logs, executive updates, training content, runbooks, data dictionaries, and knowledge transfer materials, while reporting on adoption, reliability, quality, and business value metrics.
We are looking for a Senior Software Engineer to join a team delivering scalable, high-quality software solutions in Fort Washington, Pennsylvania. This is a Long-term Contract position with the potential to transition into a permanent role, offering the opportunity to contribute to complex development initiatives and help shape technical direction. The ideal candidate brings strong experience across modern Microsoft technologies, collaborates effectively with cross-functional partners, and is comfortable solving challenging engineering problems with limited supervision.<br><br>Responsibilities:<br>• Design, build, test, and release software components and applications that align with technical specifications, quality expectations, and project timelines.<br>• Partner with business stakeholders, technical teams, vendors, and project contributors to gather needs, evaluate options, and implement effective technology solutions.<br>• Produce clean, reliable code while maintaining technical documentation and following established practices for source control, testing, and quality management.<br>• Troubleshoot complex application and system issues, perform root-cause analysis, and drive timely resolution of defects and performance concerns.<br>• Support project delivery by providing effort estimates, technical input, and coordination that improves team efficiency and on-time execution.<br>• Mentor entry-level team members by sharing development knowledge, offering technical guidance, and promoting sound engineering practices.<br>• Take ownership of specialized assignments or high-impact initiatives, including serving as a technical lead or subject matter expert when needed.<br>• Contribute to Agile team activities and help advance development processes, testing practices, and deployment standards across the software lifecycle.
<p>Robert Half is seeking a Data Architect for our partner in the Appleton area to help accelerate the development of their modern data platform. This is an opportunity to join a growing data organization that is transitioning to a cloud-based architecture centered around Google Cloud Platform and BigQuery.</p><p><br></p><p>The Data Architect will work closely with a team of Data Engineers, Data Analysts, and Data Scientists to establish the technical vision, architecture, and standards for the organization’s modern data environment. This person will provide hands-on technical leadership to the engineering team while helping move the platform from its current development stage into a scalable, production-ready environment.</p><p><br></p><p>What You’ll Do</p><ul><li>Define and implement the architecture for a modern cloud data lakehouse using GCP, BigQuery, and related technologies.</li><li>Partner closely with Data Engineers to translate architectural strategy into scalable, production-ready solutions.</li><li>Establish standards and best practices for data ingestion, transformation, storage, orchestration, security, governance, and performance.</li><li>Help accelerate the development and deployment of the organization’s GCP data platform.</li><li>Evaluate existing architecture and recommend improvements to increase scalability, reliability, performance, and development velocity.</li><li>Provide technical leadership, mentorship, and architectural guidance to a team of Data Engineers.</li><li>Work with Data Analysts and Data Scientists to ensure the data platform effectively supports analytics, reporting, machine learning, and AI initiatives.</li><li>Collaborate with Project Managers, Business Analysts, and business stakeholders to translate requirements into effective technical solutions.</li><li>Stay current with emerging data and AI technologies and identify opportunities to incorporate AI into engineering processes and business solutions.</li><li>Remain hands-on with technology, including troubleshooting complex technical challenges and demonstrating solutions for the engineering team.</li></ul><p><br></p>
<p><strong>Robert Half is working with a client who is looking to hire a Data Architect</strong> to help define the architecture and technical direction of a major enterprise data modernization initiative.</p><p>This individual will be responsible for designing scalable data platforms, establishing enterprise data standards, and providing architectural guidance across engineering, analytics, reporting, and AI initiatives.</p><p>Responsibilities</p><ul><li>Design enterprise data architecture across cloud and on-premise environments.</li><li>Define architectural standards for data ingestion, storage, transformation, governance, and consumption.</li><li>Develop conceptual, logical, and physical data models.</li><li>Provide technical direction to Data Engineers and Analytics teams.</li><li>Evaluate technologies and recommend appropriate data platform solutions.</li><li>Design integrations across ERP, CRM, operational, and third-party systems.</li><li>Partner with security and governance teams to establish data controls.</li><li>Support cloud migration and data platform modernization projects.</li><li>Create architecture diagrams, roadmaps, and technical documentation.</li></ul><p><br></p>
We are looking for an experienced Senior AI Product Owner to lead the planning and delivery of enterprise generative AI solutions for teams across the organization. This Long-term Contract position is based in Cedar Rapids, Iowa, and offers the opportunity to work closely with technical and business leaders to turn strategic goals into practical, scalable AI products. The role requires strong product ownership skills, comfort with complex technical discussions, and the ability to guide delivery while balancing governance, risk, and business value.<br><br>Responsibilities:<br>• Lead the full lifecycle of AI initiatives, from early discovery and use case evaluation through deployment and post-release support.<br>• Convert business priorities into well-defined epics, features, user stories, and acceptance criteria that enable efficient execution by delivery teams.<br>• Collaborate with engineers, architects, and external partners to shape solution approaches and strengthen technical design decisions.<br>• Maintain and prioritize the product backlog by weighing business impact, implementation effort, dependencies, and potential risk.<br>• Facilitate agile delivery activities such as sprint planning, reviews, demonstrations, defect management, and readiness for production release.<br>• Contribute to architecture and design conversations by assessing when generative AI is the right fit compared with other automation or machine learning approaches.<br>• Work closely with legal, compliance, security, risk, architecture, and data governance partners to support reviews, approvals, and audit-related needs.<br>• Lead discussions with executives, subject matter experts, and cross-functional stakeholders to build alignment, communicate tradeoffs, and drive informed decisions.<br>• Establish success measures and key performance indicators for AI products, track realized value, and identify opportunities to reuse capabilities across multiple use cases.
<p>We are looking for software engineering professionals interested in exploring new opportunities with innovative organizations across the Pittsburgh market. We are partnering with multiple companies seeking talent ranging from Full Stack Developers to Senior Software Engineers and Engineering Leaders.</p><p><br></p><p><strong>Location:</strong> Pittsburgh, PA (Hybrid, Remote, and Onsite Opportunities Available)</p><p><strong>Compensation:</strong> $90,000 - $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>Full Stack Developer</li><li>Front-End Developer</li><li>Back-End Developer</li><li>Software Engineer</li><li>Senior Software Engineer</li><li>Lead Developer</li><li>Application Developer</li><li>Mobile Developer</li><li>Principal Engineer</li></ul><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Design, build, test, and maintain software applications</li><li>Develop scalable front-end and back-end solutions</li><li>Collaborate with product, business, and engineering teams</li><li>Participate in architecture discussions and code reviews</li><li>Troubleshoot production issues and optimize performance</li><li>Contribute to CI/CD and software development best practices</li><li>Develop APIs, integrations, and cloud-native applications</li></ul><p><br></p>
We are looking for a Data Scientist to help strengthen turbine reliability and improve operational visibility across a power generation fleet in Houston, Texas. This position combines hands-on data preparation, advanced analytics, and business reporting to turn complex equipment and performance data into practical insights for engineering and leadership teams. The ideal candidate can move comfortably between developing dashboards, analyzing downtime patterns, and creating predictive tools that support maintenance and performance decisions.<br><br>Responsibilities:<br>• Create and enhance dashboard reporting that highlights fleet financial results, equipment availability, and the primary factors affecting cost and performance.<br>• Convert operational and maintenance data into meaningful metrics and recurring reports for engineering teams, business partners, and leadership stakeholders.<br>• Gather, organize, and refine downtime, outage, and maintenance records from multiple operational sources and field documentation to support reliable analysis.<br>• Evaluate failure and outage events to identify root causes and categorize trends across mechanical, electrical, controls, weather, and grid-related issues.<br>• Build and maintain a dependable historical data set that supports querying, trend analysis, and long-term reliability reviews across the turbine fleet.<br>• Design and implement statistical and machine learning models that anticipate downtime risk, detect component deterioration, and support earlier intervention.<br>• Develop anomaly detection and early alert solutions using sensor and operating data such as vibration, temperature, pressure, and combustion-related measurements.<br>• Partner with reliability, operations, engineering, and asset management teams to validate analytical findings, improve data pipelines, and recommend maintenance strategy adjustments based on observed trends.<br>• Present technical conclusions and business implications clearly to both specialized and non-technical audiences, including management and leadership teams.
<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>
<p>Robert Half is working with a client in the Atlanta area seeking a Senior Lead Data Engineer.</p><ul><li>Lead the design, development, and optimization of enterprise data platforms and data warehouse solutions</li><li>Drive the migration and modernization of legacy data environments to Snowflake</li><li>Architect and build scalable ETL/ELT pipelines that support analytics, reporting, and business intelligence initiatives</li><li>Design and maintain high-performance data models, data architectures, and data integration frameworks</li><li>Implement data quality, governance, monitoring, and performance optimization best practices</li><li>Serve as the technical lead for data engineering initiatives and help define the long-term data strategy and roadmap</li><li>Partner closely with business stakeholders, product teams, and technical leadership to translate requirements into scalable solutions</li><li>Utilize Airflow and/or Astronomer to orchestrate and manage complex data workflows</li><li>Develop solutions leveraging Python, SQL, Snowflake, and cloud-based data technologies</li><li>Mentor and guide other engineers while influencing technical direction and engineering standards</li><li>Evaluate and implement modern data engineering tools, frameworks, and best practices</li><li>Support the growth and scalability of the organization's data ecosystem while ensuring reliable, trusted, and accessible data</li></ul>
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 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>**************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>We are looking for an experienced Systems Engineer to join our team and provide high-level infrastructure support and strategic guidance for client environments. This position is ideal for an experienced, detail-oriented individual who enjoys working directly with clients, solving complex technical challenges, and shaping reliable, secure, and scalable technology solutions. You will partner with a collaborative engineering group while helping organizations strengthen and modernize their core systems. <strong><em>Local candidates to the Greater Milwaukee area with MSP experience is desired. </em></strong></p><p><br></p><p>Responsibilities:</p><p>• Serve as the primary technical resource for assigned client accounts, building trusted relationships and guiding infrastructure decisions.</p><p>• Plan, deploy, and support core technologies across server, network, firewall, backup, cloud, and security environments.</p><p>• Administer and enhance Microsoft 365 and Azure platforms, including identity, messaging, and cloud-based services.</p><p>• Lead infrastructure initiatives such as platform upgrades, environment migrations, virtualization work, and system improvements from planning through completion.</p><p>• Resolve advanced technical issues and provide escalation support to operational teams when complex incidents require senior engineering expertise.</p><p>• Conduct routine assessments of client systems to identify risks, improve performance, and recommend practical technology enhancements.</p><p>• Maintain stable and secure environments across on-premises and cloud systems while aligning solutions with client business goals.</p><p>• Continue developing technical knowledge through ongoing learning, certification efforts, and awareness of evolving industry standards.</p>