We are looking for an experienced Platform Engineer - Web & AI Applications to support the growth of customer-facing digital products in Naperville, Illinois. This Long-term Contract position focuses on improving the performance, resilience, and extensibility of web and mobile experiences while helping shape modern application architecture. The role will contribute to AI-enabled features, scalable frontend solutions, and dependable platform capabilities that serve a large user base.<br><br>Responsibilities:<br>• Design and enhance web application components using React to deliver responsive, intuitive user experiences across digital channels.<br>• Build and strengthen backend services and platform features that improve reliability, scalability, and maintainability for customer-facing applications.<br>• Optimize website speed, availability, and capacity to support high volumes of traffic and consistent performance.<br>• Develop and integrate AI-driven capabilities, including large language model functionality and conversational chatbot experiences, into web and mobile products.<br>• Partner with cross-functional teams to define technical approaches, implement modern architecture patterns, and deliver features aligned with business goals.<br>• Support the broader web and mobile application ecosystem by addressing platform needs, resolving production issues, and improving operational stability.<br>• Apply contemporary engineering practices and AI-assisted development methods to accelerate delivery and elevate code quality.<br>• Contribute to web infrastructure and publishing environments where needed, including support for web servers, site administration tools, and related platform technologies.
We are looking for an Enterprise Data Engineer to support enterprise-scale data integration and engineering initiatives for a life insurance organization in West Des Moines, Iowa. This Long-term Contract position is ideal for a technically strong individual who can build reliable data solutions, improve information flow across platforms, and partner with stakeholders to turn complex requirements into practical outcomes. The role combines hands-on engineering with solution design, with an emphasis on scalability, security, and data quality.<br><br>Responsibilities:<br>• Build and maintain robust data pipelines and integration workflows that support large-scale enterprise data movement and processing.<br>• Develop transformation logic and orchestration processes using tools such as dbt, Azure Data Factory, Azure Data Lake, and related cloud-based technologies.<br>• Connect Snowflake with internal platforms, cloud services, APIs, and reporting tools to enable dependable and efficient data exchange.<br>• Work closely with product owners, architects, and technical teams to convert business needs into well-structured data models and engineering solutions.<br>• Analyze functional and non-functional requirements to design data assets and workflows that align with operational and analytical objectives.<br>• Promote sound engineering practices by defining standards for development, governance, security, and maintainability across data solutions.<br>• Validate data processing outcomes through testing, issue investigation, and resolution of transformation or pipeline errors.<br>• Track performance, reliability, and cost metrics for pipelines and recommend enhancements that improve efficiency and stability.<br>• Evaluate emerging tools and architectural patterns that can strengthen enterprise data delivery and integration capabilities.
<p>Hybrid schedule out of Seffner, FL office – 3 days in, 2 days WFH</p><p>6 month Contract-To-Permanent (client will be converting this person to a permanent employee at 6 months)</p><p><strong> </strong></p><p><strong>Position Overview</strong></p><p>We are seeking a Data Engineer with deep expertise in Databricks to design, develop, and optimize scalable data solutions. This role will focus heavily on Databricks technologies including Lakeflow Declarative Pipelines, Lakebase, Genie, and AI/BI Dashboards. The ideal candidate will have strong Python and SQL skills, hands-on experience building modern data pipelines, and a proven track record working within the Databricks ecosystem.</p><p><strong> </strong></p><p>This role is ideal for a highly technical Data Engineer who is passionate about the Databricks ecosystem and enjoys building scalable, modern data solutions that drive business value.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and support data solutions within the Databricks platform</li><li>Build and optimize Lakeflow Declarative Pipelines for data ingestion and transformation</li><li>Work with Lakebase to support scalable, high-performance data architecture</li><li>Leverage Databricks Genie to enhance data accessibility and business user interactions</li><li>Develop and support AI/BI Dashboards to deliver actionable business insights</li><li>Create, optimize, and maintain complex SQL queries and Python-based data workflows</li><li>Collaborate with business stakeholders, analysts, and engineering teams to deliver data-driven solutions</li><li>Ensure data quality, performance, scalability, and reliability across the data platform</li></ul>
<p>Robert Half is seeking a Software Engineer II – AI Engineer who will analyze, design, program, debug, test, implement, deploy, and support software enhancements and new applications using Generative AI technologies. This role contributes to the development and production deployment of GenAI-enabled applications, including LLM-powered workflows, RAG pipelines, and AI-driven user experiences. </p><p> </p><p>This role supports SDLC documentation across all phases, with a focus on deployment, evaluation, observability, safety, and monitoring. It also interacts with users to define requirements and support applications in production. </p><p><strong>What You’ll Do</strong> </p><ul><li>Develop and modify application modules, including GenAI components. </li><li>Build prompt workflows, retrieval layers, APIs, and cloud services. </li><li>Troubleshoot production issues, including latency, hallucinations, and errors. </li><li>Provide Level II production support for deployed systems. </li><li>Design components, including LLM integrations and RAG pipelines. </li><li>Implement CI/CD pipelines, containerization, and release processes. </li><li>Develop RAG pipelines with embeddings, chunking, and vector search. </li><li>Apply prompt engineering techniques, including few-shot prompting and structured outputs. </li><li>Evaluate models for accuracy, relevance, and hallucination risk. </li><li>Implement safety guardrails, including PII protection and prompt-injection defense. </li><li>Execute testing, including unit, integration, and GenAI evaluation testing. </li><li>Monitor production systems for latency, cost, usage, and errors. </li><li>Support incident management with fallback and recovery strategies. </li></ul><p><br></p>
<p>We are looking for an experienced M365 Engineer to lead and optimize a cloud-first Microsoft 365 ecosystem for a large, distributed user base in Lake Mary, Florida. This position is ideal for a hands-on, detail-oriented individual who can strengthen security, improve endpoint management, and streamline administration through automation. The role will play a key part in maintaining a modern workplace environment that supports both internal employees and global contractors while advancing identity, compliance, and collaboration capabilities.</p><p><br></p><p>Responsibilities:</p><p>• Oversee the day-to-day administration, performance, and ongoing enhancement of the Microsoft 365 environment across the organization.</p><p>• Manage Intune and endpoint management capabilities to secure, configure, and support devices.</p><p>• Design and implement automation solutions that minimize repetitive manual tasks and improve operational efficiency within the M365 platform.</p><p>• Develop and maintain access controls using Conditional Access, multi-factor authentication, and Zero Trust security principles.</p><p>• Administer identity services within Microsoft Entra ID, including user lifecycle support and access governance processes.</p><p>• Support information protection and compliance initiatives through Microsoft Purview and related data governance capabilities.</p><p>• Maintain and improve collaboration services such as SharePoint and OneDrive to ensure reliable and secure document access.</p><p>• Provide technical ownership of a fully cloud-based Microsoft 365 environment.</p>
<p>We are seeking a <strong>Contract Software Test Engineer</strong> in <strong>Huntsville, AL</strong> office. This role will support testing of software products including analysis tools, simulations, mission planning applications, and mission-critical systems.</p><p><br></p><p>Key Responsibilities</p><ul><li>Perform <strong>automated, integration, manual, and formal qualification testing</strong></li><li>Develop and maintain <strong>test frameworks, infrastructure, and automation solutions</strong></li><li>Support <strong>test planning, strategy, design, and execution</strong></li><li>Review and generate <strong>test and engineering documentation</strong></li><li>Collaborate closely with developers and engineering teams</li><li>Support <strong>software fielding, maintenance, and product quality efforts</strong></li></ul><p><br></p>
About the Role Our client is seeking an entry to mid-level Software Test Engineer to join its team in Huntsville, Alabama. This is a fully onsite opportunity supporting tactical strike guided munition programs in a mission-driven defense environment. This role is ideal for candidates with 2–4 years of experience who are looking to grow their careers in software quality, automation, and systems testing. The selected candidate will help test software products ranging from analysis tools and simulations to mission planning software and other mission-critical systems. The position focuses on automated testing, test infrastructure development, integration testing, manual testing, formal software qualification testing, fielding, support, and maintenance. Key Responsibilities Support test planning, test strategy, test design, and test execution for software products and systems Participate as an integral team member in software quality and testing efforts across complex, multi-disciplinary projects Develop and maintain automated test frameworks and test infrastructure Perform integration testing, informal manual testing, and formal software qualification testing Review, edit, and generate engineering and test documentation in accordance with applicable standards Collaborate closely with software developers and cross-functional engineering teams Provide recommendations on software and product quality Support fielding, maintenance, and ongoing improvement of software products Learn from and work alongside senior test engineers in a collaborative environment
<p><strong>Primary Responsibilities</strong></p><ul><li>Design and architect full-stack software solutions for airborne systems, including embedded software architecture, code implementation, unit testing, and integration of distributed software modules across subsystems and networks.</li><li>Lead technical design decisions and influence solution approaches within the software development lifecycle, utilizing DevOps and CI/CD pipelines.</li><li>Develop software tools, test harnesses, and infrastructure to support fully integrated solutions.</li><li>Mentor and review work of engineers, providing technical guidance on design patterns, coding standards, and best practices.</li><li>Communicate directly with customers, end users, internal stakeholders, and cross-functional teams to define requirements, resolve technical issues, and drive project deliverables.</li><li>Take ownership of entire software components or subsystems from concept through deployment.</li></ul>
<p>Our client is seeking a hands-on Software Development Team Lead to guide a cross-functional team responsible for building, enhancing, and supporting critical business applications. This individual will lead while remaining closely involved in technical decision-making, system design, and production support.</p><p><br></p><p>This is an ideal opportunity for someone who enjoys mentoring teams, driving delivery, and staying connected to the technology without being a day-to-day individual contributor.</p><p><br></p><ul><li>Mentor a team of software developers across multiple application initiatives.</li><li>Partner with business stakeholders to prioritize work, gather requirements, and deliver solutions that improve operational efficiency.</li><li>Provide technical leadership through architecture reviews, design discussions, code reviews, and release planning.</li><li>Drive modernization efforts across a portfolio of custom business applications and integrated platforms.</li><li>Help evolve development practices, including the use of AI-assisted development tools, automation, testing, and specification-driven delivery approaches.</li><li>Oversee application support, incident response, and root cause analysis to maintain system reliability and performance.</li><li>Collaborate with IT leadership on roadmap planning, resource allocation, team development, and process improvement.</li></ul><p><br></p>
<p>We are looking for an experienced Lead Software Engineer to join our team in Jacksonville, Florida. This Contract to permanent position offers the opportunity to lead and inspire multiple cross-functional software teams in developing, testing, deploying, and maintaining innovative products and services. If you are passionate about software development, thrive in leadership roles, and excel in collaborative environments, we encourage you to apply.</p><p><br></p><p>Responsibilities:</p><p>• Lead multiple software engineering teams in an agile environment, ensuring successful product development and maintenance.</p><p>• Serve as Scrum Master for one or more teams, facilitating agile processes and removing obstacles.</p><p>• Collaborate with product management and project management to plan release and sprint cycles, ensuring timely and high-quality deliverables.</p><p>• Drive iterative improvements in software deployment processes to enhance release frequency and quality.</p><p>• Partner with product management and engineering leadership to prioritize tasks and develop technical solutions.</p><p>• Provide guidance and coaching to team members, setting goals, measuring performance, and conducting regular check-ins and formal reviews.</p><p>• Promote continuous improvement in development and testing processes through architectural reviews, security audits, code evaluations, and pipeline optimization.</p><p>• Manage multiple projects simultaneously, maintaining clear communication and alignment across teams.</p>
We are looking for a Data Solutions Engineer to support retail data initiatives in Minnesota. This long-term contract opportunity is suited for a hands-on data specialist who can shape scalable data solutions, strengthen reporting capabilities, and guide technical teams toward reliable delivery. The role combines data engineering, business intelligence, and stakeholder collaboration to create trusted data assets that support operational and strategic decision-making.<br><br>Responsibilities:<br>• Guide and support data engineering and BI team members by setting direction, encouraging growth, and promoting strong cross-functional collaboration.<br>• Translate business priorities into measurable delivery goals, establish performance indicators, and monitor progress against expected outcomes.<br>• Architect, develop, and maintain robust data pipelines that move and transform information across internal platforms and third-party sources.<br>• Oversee ETL operations to ensure data is accurate, timely, and dependable for downstream reporting and analytics needs.<br>• Build and refine data models and warehouse structures that enable reporting, advanced analytics, and future predictive or machine learning use cases.<br>• Apply sound engineering practices such as automation, source control, and repeatable development standards to improve data platform quality and efficiency.<br>• Lead the creation and enhancement of Power BI and SSRS reporting solutions with a focus on usability, consistency, and alignment with business objectives.<br>• Partner with business stakeholders to gather requirements, convert them into technical designs, and deliver scalable BI and data solutions.<br>• Define visualization standards, reusable datasets, and semantic layers that support self-service reporting across the organization.
Key Responsibilities Support the design and development of embedded airborne system software within assigned technical areas Contribute to software architecture, code implementation, peer reviews, and unit testing Assist with integration of software modules at the subsystem and cross-subsystem level Develop software tools and test harnesses to support testing, integration, and maintenance activities Participate in troubleshooting, debugging, and performance improvement of embedded software systems Apply software engineering principles and best practices throughout the software development life cycle Support requirements analysis, hardware compatibility analysis, and software product development Work with team members to improve development workflows, tools, and engineering practices Collaborate frequently with internal stakeholders and engineering teams to support successful project delivery
<p>We are seeking a <strong>Contract Embedded Software Engineer</strong> to support the design, development, and integration of embedded airborne system software within a defined technical area. This role will contribute across the full software development lifecycle, including architecture, coding, peer reviews, unit testing, and subsystem integration.</p>
<p>Robert Half is seeking a <strong>MuleSoft Developer</strong> to support a high-impact integration environment in support of an automobile services client based in Bellevue, WA. This role will focus on strengthening API architecture, integration discipline, security, and overall MuleSoft maturity while helping position the organization for future <strong>Agentic AI</strong> initiatives.</p><p><br></p><p><strong>Duration:</strong> 6 month contract with the potential to convert </p><p><strong>Location: </strong>100% Remote, client is based in Bellevue. </p><p><strong>Schedule: </strong>Monday - Friday Core Business Hours</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and support enterprise integrations using <strong>MuleSoft</strong> and <strong>Anypoint Platform</strong>.</li><li>Build and maintain <strong>REST and SOAP APIs</strong> supporting system-to-system integrations.</li><li>Develop event-driven integrations and help transition the organization toward more scalable, event-based architecture.</li><li>Leverage <strong>Microsoft Azure</strong> services to support integration, API, and cloud-based solutions.</li><li>Implement secure integrations using <strong>OAuth</strong>, Azure security services, and <strong>Azure Key Vault</strong>.</li><li>Help establish stronger API development standards, governance, architecture, and engineering discipline across the MuleSoft environment.</li><li>Collaborate with architects, engineers, product owners, and business stakeholders to define integration solutions and technical requirements.</li><li>Participate in weekly Agile sprints, including sprint planning, backlog refinement, burn-downs, and delivery activities.</li><li>Troubleshoot integration issues and provide Level 2/3 technical support for production systems.</li><li>Contribute to the evolution of MuleSoft capabilities supporting future <strong>Agentic AI</strong> and intelligent workflow initiatives.</li><li>Help integrate MuleSoft with SaaS platforms and emerging technologies as the organization continues to modernize its application ecosystem.</li></ul><p><br></p>
<p><strong>Agent Platform Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading artificial intelligence and advanced analytics organization is seeking an Agent Platform 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 Agent Platform 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>
<p><strong>Senior Data Engineer (Contract)</strong></p><p><strong>Location:</strong> Glendale, CA | Hybrid</p><p><strong>Employment Type:</strong> Long Term Contract</p><p><strong>Pay: </strong>Available on W2 Basis</p><p><strong>Position Overview</strong></p><p>We are seeking a <strong>Senior Data Engineer</strong> to support enterprise data engineering and platform modernization initiatives. This role will focus on designing, building, and optimizing scalable data solutions while partnering with cross-functional teams to enhance cloud-based data platforms and data-driven decision-making.</p><p>The ideal candidate will bring strong expertise in <strong>Databricks, Python, Apache Spark, and Terraform</strong>, along with experience designing and operating enterprise-scale data pipelines and platforms. This position offers the opportunity to work on complex data engineering challenges involving modern cloud technologies, streaming and batch processing, automation, governance, and platform architecture.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, test, deploy, and maintain scalable batch and streaming data pipelines.</li><li>Build and optimize data solutions using Databricks, Apache Spark, Python, SQL, and related technologies.</li><li>Collaborate with stakeholders to gather requirements and translate business needs into scalable technical solutions.</li><li>Support and maintain data platform governance, including access controls, data lineage, cataloging, and data discovery capabilities.</li><li>Diagnose platform and pipeline issues, identify root causes, and recommend effective solutions.</li><li>Contribute to solution architecture across cloud, data, and orchestration platforms.</li><li>Develop and maintain containerized services and utilities using Docker and Kubernetes.</li><li>Implement infrastructure automation and deployment standards using Infrastructure as Code practices.</li><li>Monitor platform health, resource utilization, system performance, and operational efficiency.</li><li>Build and enhance CI/CD processes and DevOps workflows.</li><li>Implement data quality, monitoring, logging, and reliability standards across pipelines and platforms.</li><li>Partner with engineers, architects, product teams, and business stakeholders in an Agile environment.</li><li>Maintain technical documentation, standards, and platform configurations</li></ul>
We are looking for a DevOps/AWS Platform Engineer to join a long-term contract engagement based in West Des Moines, Iowa. This hands-on platform engineering role focuses on modernizing cloud deployment patterns, strengthening infrastructure decisions, and accelerating delivery through AI-assisted development tools while maintaining high engineering standards. The person in this role will partner closely with DevOps peers to review automated changes critically, validate outcomes through established testing methods, and build reliable, reusable deployment capabilities across the AWS ecosystem.<br><br>Responsibilities:<br>• Redesign container build and publication processes so application images can be delivered through Amazon ECR and GitHub package repositories in alignment with target platform needs.<br>• Rework deployment automation to support containerized workloads on AWS Fargate, including service definitions, networking, permissions, logging, load balancing, and release verification using existing GitHub Actions workflows.<br>• Replace Azure-based identity and access patterns with AWS-native role design and federated access models integrated with organizational authentication groups.<br>• Transition secrets and configuration management to AWS services such as Secrets Manager and Parameter Store to support secure runtime access.<br>• Convert Terraform configurations from Azure-focused implementations to AWS-based infrastructure modules, including updates to providers, reusable components, and remote state management.<br>• Update GitHub Actions pipelines, runners, and reusable workflows to align with the target GitHub organization and AWS account trust relationships.<br>• Create and refine deployment pipelines that enable reusable delivery into AWS Fargate environments for the applications and tools supported by this platform.<br>• Adapt scripts, instructions, and developer tooling so they operate consistently inside Ubuntu-based Coder workspaces, including environment setup, credentials handling, and workflow expectations.<br>• Use AI-assisted coding tools to speed implementation, while independently inspecting, testing, and validating every change before release.<br>• Produce validation evidence for migrated capabilities using the existing evaluation framework and prepare concise handoff documentation for internal engineering teams.
<p><strong>Software Engineer / Developer</strong></p><p><strong>Location:</strong> Hybrid Kissimmee, FL (Onsite 2-4 days a week)</p><p><strong>Employment Type:</strong> Long Term Contract</p><p><strong>About the Role</strong></p><p>We are seeking an experienced <strong>Software Engineer / Developer</strong> to join a collaborative technology team focused on building and enhancing scalable software solutions. This role will contribute to the design, development, testing, and implementation of software applications and platform capabilities that support business-critical initiatives.</p><p>The ideal candidate will have strong experience with modern web technologies, cloud platforms, and backend development, along with a passion for continuous learning and staying current with emerging technologies.</p><p><strong>Key Responsibilities</strong></p><ul><li>Lead or contribute to small-scale software development projects, including analysis, design, coding, testing, debugging, and implementation.</li><li>Design, develop, test, and maintain software components, enhancements, fixes, and new applications.</li><li>Develop highly scalable and reliable software systems and applications.</li><li>Perform application testing, troubleshooting, and debugging to ensure quality and performance.</li><li>Write clean, maintainable, and efficient code at the component level.</li><li>Support software solutions used in networked, cloud-based, internet-facing, and enterprise environments.</li><li>Collaborate with stakeholders and end users to gather requirements and identify system improvements.</li><li>Participate in Agile development processes, including planning, development, testing, and deployment activities.</li><li>Contribute to technical discussions and provide input on software architecture and design decisions.</li><li>Stay current with emerging technologies, development practices, and industry trends.</li></ul><p><br></p>
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. ***
Position: Principal Data Engineer | Direct Hire Permanent<br>Location: Remote<br>Salary: $225,000 - 300,000 base plus bonus potential<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.
<p>We are looking for an Artificial Intelligence (AI) Platform Engineer to support the design, operation, and enhancement of enterprise AI platform capabilities in central OH. This Long-term Contract position will focus on creating dependable services, infrastructure, and automation that help teams build, deploy, and manage AI solutions at scale.</p><p><br></p><p>The AI Platform Engineer is responsible for building, operating, and continuously improving the core platform capabilities that enable development, deployment, and scaling of AI solutions across our client's enterprise environment.</p><p> </p><p>This role focuses on implementing platform services, APIs, and infrastructure that support the AI software development lifecycle, including model integration, orchestration, deployment, and monitoring. Working under architectural guidance, the engineer ensures platform components are reliable, secure, and reusable, enabling application teams to efficiently develop and deploy AI-enabled solutions.</p><p> </p><p>The position emphasizes hands-on engineering, cloud platform operations, and automation, ensuring AI workloads execute consistently and efficiently across environments. Through collaboration with platform, data, and application teams, the AI Platform Engineer contributes to improving developer experience, accelerating adoption of AI capabilities, and maintaining stable, scalable platform operations.</p><p><br></p><p><br></p><p><br></p><p>Responsibilities:</p><p>• Build and maintain core AI platform services that support model development, integration, deployment, and ongoing operations across enterprise environments.</p><p>• Develop APIs, reusable components, and infrastructure patterns that enable application teams to deliver AI-enabled solutions more efficiently.</p><p>• Manage cloud-based platform operations to ensure AI workloads run reliably, securely, and consistently at scale.</p><p>• Implement automation for provisioning, deployment, monitoring, and support processes to improve platform stability and reduce manual effort.</p><p>• Collaborate with platform, data, and software engineering teams to align technical solutions with architectural standards and business needs.</p><p>• Monitor platform health, troubleshoot operational issues, and drive continuous improvements in performance, resilience, and usability.</p><p>• Support orchestration and lifecycle management of AI services, including deployment workflows, runtime management, and observability.</p><p>• Contribute to a scalable engineering environment that accelerates enterprise adoption of AI capabilities while maintaining strong operational controls.</p>
We are looking for a Systems & Cloud Engineer to join our team in Wisconsin on a contract basis with the potential for a permanent role. This role is ideal for a hands-on IT specialist who enjoys building, maintaining, and improving Microsoft-based environments across on-premises and cloud platforms. You will help strengthen core infrastructure, support modern connectivity between systems, and contribute to reliable technology operations that support the business.<br><br>Responsibilities:<br>• Design, deploy, and support Microsoft infrastructure services, including directory services, DNS, DHCP, group policy, file services, and print services.<br>• Manage and enhance connectivity between on-premises systems and cloud platforms, helping align infrastructure with cloud-focused operational needs.<br>• Administer and troubleshoot core server technologies such as Microsoft Exchange, SQL Server, IIS, and Remote Desktop Services where needed.<br>• Build and maintain clustered environments ranging from small multi-node deployments to shared-storage or hyper-converged configurations.<br>• Work with virtualization platforms such as Hyper-V and VMware ESXi to provision, optimize, and support virtual server environments.<br>• Monitor system health, resolve infrastructure issues, and implement improvements that increase stability, security, and performance.<br>• Collaborate with internal teams and stakeholders to deliver infrastructure solutions that meet technical and business requirements.<br>• Maintain technical documentation and support certification-readiness through ongoing learning of Microsoft technologies and best practices.
<p>Snowflake & Data Engineering Specialist</p><p><strong>Location:</strong> Northwest of Boston, MA</p><p><strong>Schedule:</strong> Hybrid (3 days onsite per week)</p><p><strong>Employment Type:</strong> Full-Time</p><p><br></p><p>Overview</p><p>We are seeking a hands-on <strong>Snowflake & Data Engineering Specialist</strong> to join our growing data team. This is an ideal opportunity for someone who enjoys wearing multiple hats and wants to be involved in every aspect of the data lifecycle.</p><p>Unlike larger organizations where responsibilities are highly specialized, this role offers broad exposure across data architecture, ingestion, ETL development, optimization, reporting support, and platform modernization. You will help drive our transition away from legacy SSIS-based processes and play a key role in building the next generation of our cloud-based data ecosystem.</p><p>We're particularly interested in candidates who have worked in smaller or mid-sized organizations where they have owned projects from start to finish and aren't afraid to roll up their sleeves to solve problems.</p><p><br></p><p>What You'll Do</p><ul><li>Design, build, and maintain scalable data pipelines in Snowflake</li><li>Lead efforts to migrate legacy SSIS workflows to modern cloud-based solutions</li><li>Perform end-to-end data ingestion from a variety of source systems, APIs, flat files, databases, and third-party platforms</li><li>Develop and optimize ETL/ELT processes to support analytics and business operations</li><li>Partner directly with business stakeholders to understand data needs and deliver solutions</li><li>Monitor, troubleshoot, and improve existing data integration processes</li><li>Create and maintain data models, transformations, and data quality processes</li><li>Support reporting, analytics, and downstream data consumers</li><li>Participate in architecture discussions and help shape the company's long-term data strategy</li><li>Contribute wherever needed as part of a collaborative, high-impact team</li></ul><p><br></p><p><br></p>
We are looking for an experienced Lead Platform Engineer, Snowflake to help shape and support enterprise data platforms in New York, New York. This contract opportunity is ideal for someone who combines deep Snowflake knowledge with broad experience across cloud-based and traditional database environments. The person in this role will guide platform reliability, security, and performance while partnering with technical teams on architecture, modernization, and data movement initiatives.<br><br>Responsibilities:<br>• Lead the administration, configuration, and ongoing support of Snowflake environments to ensure stability, security, and strong performance.<br>• Improve platform efficiency by analyzing workloads, tuning queries, and optimizing storage and compute usage across large-scale data ecosystems.<br>• Partner with engineering and data teams to design scalable data architectures and support effective data modeling practices.<br>• Oversee database operations across multiple platforms, including Microsoft SQL Server and PostgreSQL, within cloud-based environments such as AWS.<br>• Drive data migration efforts and help implement platform enhancements that improve reliability, maintainability, and long-term scalability.<br>• Provide technical leadership to the team by mentoring engineers, reviewing solutions, and guiding best practices across the data platform landscape.<br>• Develop and maintain automation, scripts, or tooling in Python to streamline operational tasks and support platform management.<br>• Use Git-based workflows to manage changes, support collaboration, and maintain version control across engineering deliverables.
<p>We are seeking a versatile and technically strong Software Engineering Instructor to join our team in Monroe, NY. This individual will help students and/or learners strengthen their programming skills through hands-on instruction, mentoring, troubleshooting, and real-world development exercises.</p><p><br></p><p>The ideal candidate is a well-rounded software developer who can work comfortably across multiple programming languages and frameworks and has the ability to explain complex technical concepts in a clear, approachable manner.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Provide hands-on programming instruction, tutoring, and technical mentorship.</li><li>Teach and support learners across multiple programming languages, frameworks, and development environments.</li><li>Develop practical exercises, examples, and learning materials focused on real-world software development.</li><li>Help learners troubleshoot code, identify bugs, and understand best practices for debugging and testing.</li><li>Support testing and regression testing to ensure applications function as expected.</li><li>Introduce learners to cloud technologies, particularly <strong>AWS</strong>.</li><li>Help learners understand and apply modern <strong>AI technologies</strong>, including AI frameworks, APIs, plugins, and integrations.</li><li>Adapt instruction to different experience levels and learning styles.</li><li>Stay current with emerging programming languages, development frameworks, AI technologies, and industry best practices.</li></ul><p><br></p>