We are looking for an experienced Lead Artificial Intelligence (AI) Engineer to guide the design and delivery of advanced AI solutions for a growing construction-focused organization in Avon, Minnesota. This role will lead the creation of scalable applications that turn complex project and operational data into practical, production-ready tools. The ideal candidate brings strong technical leadership, deep hands-on engineering expertise, and a track record of building reliable AI systems that integrate with enterprise platforms.<br><br>Responsibilities:<br>• Lead the technical direction, architecture, and full lifecycle delivery of a core software platform from early concept through production deployment and ongoing improvement.<br>• Design and develop production-grade AI applications, including retrieval-based solutions, agent-driven workflows, tool orchestration, and review processes that incorporate human oversight.<br>• Create robust evaluation frameworks and context management approaches to improve model quality, system reliability, and business relevance.<br>• Connect AI capabilities with enterprise platforms such as Procore, Salesforce, Bluebeam, financial systems, and the organization’s Microsoft Fabric data environment.<br>• Define and enforce engineering best practices across the AI team, including codebase organization, testing strategy, release management, and operational readiness.<br>• Establish observability standards and monitor usage patterns, performance trends, and solution costs to support stable and efficient production systems.<br>• Partner with cross-functional stakeholders to translate construction and project data into practical AI-enabled workflows and decision-support tools.<br>• Ensure security and governance considerations are embedded throughout solution design, deployment, and ongoing maintenance.
We are looking for a Cybersecurity Analyst to support a focused application security effort centered on identifying, validating, and resolving exposed secrets and credentials within source code repositories. This role is based in Murray, Utah, and is offered as a Long-term Contract position. The person in this role will work closely with engineering and security partners to move findings from investigation through remediation and documented closure in a fast-paced, project-driven environment.<br><br>Responsibilities:<br>• Investigate security alerts related to exposed credentials and embedded secrets found in source code repositories, confirming validity and potential risk.<br>• Partner with software engineers, application owners, and security teams to assign ownership, define remediation steps, and drive issues through resolution.<br>• Use scripting and automation tools such as PowerShell, Bash, or Python to streamline analysis, tracking, and follow-up activities.<br>• Review repository history and code context in Git and GitHub to support remediation planning and verify corrective actions.<br>• Document findings, decisions, remediation progress, and final disposition in a clear and audit-ready manner.<br>• Coordinate with cross-functional stakeholders across a large engineering organization to maintain momentum on a backlog of security findings.<br>• Evaluate factors such as credential type, privilege level, environment, and exposure scope to help prioritize response actions.<br>• Validate that completed fixes fully address the identified issue and close findings with accurate reporting and supporting evidence.
<p><strong>Machine Learning Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>Based in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Machine Learning Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. This position requires an experienced engineer who can independently own the full machine learning lifecycle, from dataset development and model architecture selection to deployment, monitoring, and continuous improvement. The ideal candidate brings broad expertise across computer vision, natural language processing (NLP), geospatial analytics, MLOps, and large-scale production machine learning environments.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Develop models utilizing computer vision, NLP, geospatial analytics, and predictive modeling techniques.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul><p><strong>Additional Details</strong></p><ul><li>Fully onsite 5 days a week</li><li>Highly collaborative environment with strong emphasis on machine learning, knowledge graphs, and data-driven decision support</li><li>Opportunity to influence technical direction, machine learning standards, and model lifecycle practices across multiple initiatives</li><li>Candidates must be authorized to work in the United States and satisfy applicable regulatory employment requirements</li></ul>
<p>** NOTE: This role is Hybrid ONSITE 4 days per week in Des Moines, IA **</p><p><br></p><p>We are looking for a SENIOR Java Software Developer to support banking technology initiatives in Des Moines, Iowa. This Long-term Contract opportunity is ideal for a developer who enjoys building reliable applications across both front-end and back-end environments. The role will focus on creating and enhancing enterprise solutions using modern Java frameworks, Angular, and database-driven services while partnering with teams to deliver scalable results.</p><p><br></p><p>Responsibilities:</p><p>• Build, enhance, and maintain Java-based applications that support banking operations and business objectives.</p><p>• Develop user-facing features with JavaScript and Angular to deliver responsive and intuitive web experiences.</p><p>• Design and implement backend services using Spring, Spring Boot, and Maven within enterprise application environments.</p><p>• Write, optimize, and troubleshoot SQL and PL/SQL code to support data processing, integration, and application performance.</p><p>• Collaborate with cross-functional teams to translate functional needs into technical solutions and high-quality software deliverables.</p><p>• Contribute to API development and system integration work using Java-based service frameworks and RESTful design practices.</p><p>• Review application performance, resolve defects, and apply coding best practices to improve reliability and maintainability.</p><p>• Use Excel for analysis, reporting support, or data validation as needed within development and testing activities.</p><p><br></p><p>** NOTE: This role is Hybrid ONSITE 4 days per week in Des Moines, IA **</p>
Key Responsibilities<br>• Provide Tier 1 and Tier 2 support for end users across voice, data, applications, and desktop systems<br>• Troubleshoot and resolve hardware, software, and network-related issues both remotely and onsite<br>• Support and administer Windows Server environments and Active Directory<br>• Manage and maintain Microsoft 365 (O365) including Exchange, SharePoint, OneDrive, and MFA<br>• Configure, deploy, and support Windows 10/11 workstations and peripherals<br>• Support and troubleshoot LAN/WAN connectivity, VOIP systems, and network devices<br>• Monitor and manage system backups, disaster recovery processes, and infrastructure performance<br>• Lead and participate in IT projects, including site setups, upgrades, and deployments<br>• Evaluate hardware/software needs and recommend solutions aligned with business requirements<br>• Collaborate with vendors, procurement, and internal teams on technology solutions and services<br>• Maintain accurate documentation of systems, processes, and infrastructure<br>• Manage hardware/software inventory and ensure proper asset tracking<br>• Provide technical guidance to team members and act as an escalation point when needed<br>• Deliver regular updates on project status and system performance to leadership
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.
We are looking for an Application Support Engineer to join a financial services organization in Woodbridge, New Jersey on a Long-term Contract basis. This position is ideal for a hands-on technical specialist who enjoys solving user issues, supporting endpoint environments, and improving day-to-day IT operations. The role combines second-level support responsibilities with device management, scripting, and collaboration across core infrastructure technologies.<br><br>Responsibilities:<br>• Deliver second-line technical support for end-user hardware, software, and application issues across the business<br>• Investigate and resolve escalated incidents, ensuring timely diagnosis and clear communication with users and internal teams<br>• Manage Microsoft Intune activities such as device configuration, policy administration, and application deployment<br>• Create and update PowerShell scripts to streamline repetitive support tasks and improve operational efficiency<br>• Support Windows desktop environments, including laptop setup, imaging, deployment, maintenance, and patching<br>• Assist with account, access, and device administration in Active Directory and Azure AD environments<br>• Perform foundational network troubleshooting to identify connectivity issues and support issue resolution<br>• Contribute to hands-on support work when needed, including Level 1 assistance and laptop build preparation<br>• Maintain accurate technical documentation, support procedures, and knowledge resources for recurring issues
<p>We are looking for a Principal Data Engineer to shape and lead a modern enterprise data platform serving multiple business lines. This position will define the architectural direction for a Microsoft Fabric-based environment, guide engineering best practices, and partner closely with data and IT leaders to support long-term growth. The role is ideal for a senior technical expert who combines deep hands-on engineering capability with strong mentorship and platform strategy experience.</p><p><br></p><p>Responsibilities:</p><p>• Lead the design and ongoing evolution of a Microsoft Fabric lakehouse environment, establishing a scalable architecture across raw, refined, and curated data layers.</p><p>• Create and support robust data integration workflows that bring information together from more than 30 enterprise applications and operational platforms.</p><p>• Set technical standards for data engineering, including coding practices, solution design patterns, documentation, and review processes.</p><p>• Mentor data engineers through hands-on coaching, collaborative development, and detailed code feedback to strengthen team capability.</p><p>• Partner with data and IT leadership to align platform architecture with business priorities and future expansion needs.</p><p>• Develop high-quality data pipelines using modern tools and frameworks such as SQL, Python, Spark, and PySpark within cloud-based data ecosystems.</p><p>• Evaluate new technologies, architectural approaches, and data platform trends, then provide informed recommendations for adoption.</p><p>• Support governance and platform reliability by promoting strong lineage, quality, performance, and scalable engineering practices.</p><p>• Contribute to cross-platform interoperability initiatives, including environments that may involve Databricks, governance tooling, and enterprise data services.</p>
We are looking for a Data & Integration Engineer to support the design and delivery of dependable data solutions for healthcare operations in Mankato, Minnesota. In this role, you will create and optimize data pipelines, connect critical applications, and help ensure information moves accurately across clinical, operational, and business platforms. This position is ideal for someone who combines strong technical depth with a practical understanding of healthcare data standards, platform reliability, and regulatory expectations.<br><br>Responsibilities:<br>• Develop and support scalable data workflows that collect, transform, and distribute information across enterprise systems.<br>• Build and manage integrations between clinical, operational, and business applications to enable consistent data exchange.<br>• Monitor data processing and interface performance, troubleshoot failures, and improve overall reliability of connected systems.<br>• Establish and maintain controls that strengthen data accuracy, completeness, and consistency throughout the data lifecycle.<br>• Create and enhance data infrastructure using modern cloud and database technologies to support reporting, analytics, and operational needs.<br>• Partner with technical and business teams to understand integration requirements and translate them into effective engineering solutions.<br>• Implement solutions that align with healthcare data regulations and interoperability expectations across connected platforms.<br>• Support interfaces and data connections involving electronic health record and practice management systems, including related downstream applications.
A leading infrastructure and transportation group is seeking a hands-on Senior Data Engineer to architect and build our next-generation Enterprise Reporting & Data Warehouse (ERDW.Next) on Databricks. Acting as the hands-on technical owner, you will drive target-state design, medallion architecture (Delta Lake), and legacy migrations off SQL Server/Synapse while remaining actively in the codebase. You will partner with our Enterprise Architect, Power BI team, business users, and offshore delivery partners across finance, construction, and safety domains. <br> experience in CANDIDATES SHOULD HAVE EXPERIENCE WITH: Serving as a Databricks SME ERP integrations (strong plus) Python / PySpark Performance tuning and optimization Databricks maintenance, including VACUUM Data governance and best practices Semantic modeling <br> RESPONSIBILITIES Architecture & Strategy: Design the ERDW.Next lakehouse (medallion/gold layer star schema) and govern data modeling, batch/streaming, and Delta Live Tables standards. Build & Migration: Write production-grade PySpark, Spark SQL, and Delta Live Tables pipelines orchestrated via Databricks Workflows. Re-engineer legacy SSIS/T-SQL/Synapse logic and ingest ERP data (JD Edwards, Anaplan) using CDC and Auto Loader. Platform Operations: Optimize cost/performance using Photon, Liquid Clustering, and OPTIMIZE. Manage CI/CD pipelines via Git and Databricks Asset Bundles while maintaining strict SLAs. Governance & AI: Implement Unity Catalog governance (entitlements, lineage, audit) and curate Databricks Genie Agents for natural-language analytics. Partner & Legacy Management: Support legacy platforms during transition and maintain code quality standards across offshore partner teams. Leverage agentic AI coding tools safely to accelerate delivery.
We are looking for a Cloud Engineer to join a service organization in Jacksonville, Florida in a contract capacity with the potential to become permanent. This role is suited for a hands-on, detail-oriented individual who can strengthen and support enterprise cloud infrastructure while improving reliability, automation, and operational efficiency. The position will work across Microsoft-based environments and Azure services, partnering with technical teams to deliver stable, secure, and scalable solutions.<br><br>Responsibilities:<br>• Design, implement, and maintain cloud and hybrid infrastructure solutions across enterprise Microsoft and Azure environments.<br>• Administer production Azure resources and help optimize performance, availability, and cost across hosted services.<br>• Build and enhance automated infrastructure deployment processes using Infrastructure as Code tools such as Terraform.<br>• Support container-based platforms, including Docker and Azure Kubernetes Service, to improve application delivery and platform scalability.<br>• Collaborate with engineering and operations teams to define technical standards, strengthen system reliability, and promote cloud best practices.<br>• Lead infrastructure initiatives from planning through execution, ensuring timelines, quality expectations, and business needs are met.<br>• Troubleshoot complex platform, server, and network-related issues, including active participation during service incidents and outage response calls.<br>• Develop and maintain scripts and deployment workflows using tools such as PowerShell, Python, or Bash to streamline administration and repeatable tasks.<br>• Contribute to secure cloud operations by applying sound controls for access, compliance, data protection, and environment governance.<br>• Deliver responsive internal support by listening carefully, communicating clearly, recommending practical solutions, and confirming follow-up actions are completed.
<p>We are seeking experienced Full Stack Developers to join our network of professionals for a variety of upcoming opportunities. Organizations continue to invest in digital products, customer experiences, and business technology solutions, creating ongoing demand for developers who can build, enhance, and support scalable web applications. If you enjoy solving complex technical challenges and developing high-quality software solutions, we'd love to connect with you.</p><p><br></p><ul><li>Design, develop, test, and maintain web applications and software solutions</li><li>Build and support both front-end user interfaces and back-end systems</li><li>Develop responsive, user-friendly applications across desktop and mobile environments</li><li>Create and maintain APIs, integrations, and database-driven functionality</li><li>Collaborate with designers, product teams, stakeholders, and other developers throughout the development lifecycle</li><li>Troubleshoot, debug, and resolve application issues</li><li>Optimize applications for performance, scalability, security, and reliability</li><li>Participate in code reviews, testing, and deployment activities</li><li>Support ongoing enhancements, upgrades, and new feature development</li><li>Ensure adherence to development best practices and coding standards</li></ul>
<p>We are looking for a Data Engineer to help strengthen financial decision-making by building reliable data and automation capabilities that support planning and analysis. This position works closely with finance leaders and business partners to turn strategic goals into scalable data solutions, improving visibility, speed, and confidence in reporting. </p><p><br></p><p>Responsibilities:</p><p>• Design and maintain data pipelines that convert financial and operational information into trusted, analysis-ready datasets for planning and reporting.</p><p>• Create scalable data models and structured finance data assets within the broader enterprise ecosystem to support consistent, governed analytics.</p><p>• Develop automation solutions using tools such as Python, Excel, and workflow platforms to streamline recurring finance processes and increase team capacity.</p><p>• Build near real-time data transformation processes that improve the timeliness and accuracy of performance visibility for stakeholders.</p><p>• Apply AI-enabled techniques such as anomaly detection, forecasting support, and variance analysis to enhance financial insight generation.</p><p>• Deliver self-service analytics tools and reporting frameworks that allow business users to explore key metrics and make informed decisions independently.</p><p>• Establish documentation, data standards, and governance practices that improve maintainability, quality, and long-term adoption of solutions.</p><p>• Monitor and support automated jobs and bot-driven processes, including troubleshooting, performance oversight, and control management.</p><p>• Translate complex data findings into clear, executive-level outputs that help guide business strategy and financial priorities</p>
Principal Platform Engineer | Direct Hire Permanent<br>Location: Remote<br>Salary: $250,000-$300,000 Base + 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>Build the Engineering Platform That Powers Scale, Security, and AI Innovation<br>We are seeking a Principal Platform Engineer to lead the architecture, automation, and standardization of a modern cloud platform supporting enterprise-scale software delivery, cloud operations, and emerging AI capabilities.<br>This is a newly created, high-impact leadership role for a hands-on platform engineering expert who thrives at the intersection of cloud architecture, DevSecOps, developer experience, automation, and reliability engineering. You'll help define how engineering teams build, deploy, secure, and operate software across the organization.<br>What You'll Own<br> • Define and execute a platform engineering strategy that improves developer productivity, consistency, and operational resilience<br> • Architect and scale enterprise-grade CI/CD platforms that accelerate delivery while reducing operational risk<br> • Design and implement Infrastructure as Code using Terraform with reusable, standardized modules<br> • Embed security throughout the engineering lifecycle through automated guardrails, policy-as-code, secrets management, and governance controls<br> • Advance deployment automation, progressive delivery practices, and rapid recovery capabilities<br> • Build observability strategies across distributed applications, microservices, and cloud-native environments<br> • Strengthen AWS cloud operations through improved IAM, networking, governance, and runtime visibility<br> • Establish engineering standards and platform best practices across multiple development teams and external partners<br>What You'll Bring<br> • 10+ years of Platform Engineering, DevOps, Cloud Infrastructure, or Site Reliability Engineering experience<br> • Proven success operating and scaling complex production CI/CD ecosystems<br> • Deep hands-on expertise with Terraform and modern Infrastructure as Code practices<br> • Strong background in DevSecOps, security automation, compliance, policy enforcement, and vulnerability management<br> • Experience implementing observability, monitoring, logging, and operational excellence across distributed systems<br> • Advanced knowledge of AWS, Kubernetes, IAM, networking, cloud architecture, and platform operations<br> • Strong understanding of software delivery, developer tooling, release management, and operational metrics such as reliability and MTTR<br> • Ability to influence technical direction, establish enterprise standards, and communicate effectively with engineering leadership and executive stakeholders<br>Why This Opportunity<br> • Strategic new role with significant influence on platform and engineering strategy<br> • Opportunity to build and mature a modern, AI-ready cloud platform<br> • Highly visible position partnering with senior engineering and business leaders<br> • Blend of architecture, hands-on engineering, and enterprise-wide technical leadership<br> • Direct impact on scalability, security, developer experience, and operational excellence<br> • Remote opportunity with exceptional compensation and bonus potential<br>If you're a platform engineering leader who enjoys building standardized, scalable, and secure cloud environments while shaping the future of engineering delivery, we'd love to connect.
<p>Nick Corieri with Robert Half is looking for a Construction Services Engineer to help expand our construction layout services by combining hands-on field execution with strong customer coordination and project support. This position plays a key role in connecting jobsite activities, client communication, and internal planning to keep layout services accurate, timely, and well organized. Based in New York, this role is ideal for someone who enjoys working independently, engaging with construction teams, and learning advanced layout technology in a growing service area.</p><p><br></p><p>Responsibilities:</p><p>• Lead on-site robotic layout activities using specialized automated equipment on active construction projects.</p><p>• Interpret construction drawings and digital layout files to mark walls, structural components, and other building elements according to project requirements.</p><p>• Perform field verification and quality checks to confirm layout accuracy before and during installation activities.</p><p>• Travel to regional jobsites as needed to deliver layout services and maintain a detail-oriented presence with customers and project teams.</p><p>• Meet with general contractors, construction managers, and field leaders to explain service capabilities and support early project planning discussions.</p><p>• Build strong working relationships with repeat clients and serve as a knowledgeable resource on robotic layout applications and benefits.</p><p>• Coordinate with internal staff and external project contacts to schedule layout work at the appropriate phase of construction.</p><p>• Assist with takeoffs, scope reviews, and preconstruction planning related to construction layout opportunities.</p><p>• Contribute to improving service workflows and operational processes as the construction services program continues to develop.</p><p><br></p><p>For immediate consideration, apply to this job posting today and contact Nick Corieri from the Syracuse branch of Robert Half.</p>
We are looking for a Data Engineer to join a growing team in Conshohocken, Pennsylvania within the financial services industry. In this role, you will build and enhance modern data pipelines and warehouse structures that support reporting, analytics, and business decision-making. You will partner with technical and business teams to deliver reliable, well-governed data solutions using Python, Azure Synapse Analytics, and related cloud technologies.<br><br>Responsibilities:<br>• Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows.<br>• Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions.<br>• Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use.<br>• Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints.<br>• Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions.<br>• Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets.<br>• Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels.<br>• Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing.<br>• Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
<p>We are hiring a <strong>Desktop Support Engineer</strong> to support users, devices, and endpoint technologies in a Microsoft-focused environment. This role is ideal for someone with strong troubleshooting skills and experience managing devices through Microsoft Intune.</p><p>Responsibilities</p><ul><li>Provide Tier 1 and Tier 2 support for end users</li><li>Deploy, configure, and maintain Windows laptops and desktops</li><li>Manage devices using Microsoft Intune</li><li>Support software installations, upgrades, and patching</li><li>Troubleshoot hardware, software, networking, and printing issues</li><li>Configure and support Microsoft 365 applications</li><li>Maintain accurate documentation and asset inventory</li><li>Assist with onboarding and offboarding processes</li><li>Support endpoint security initiatives</li></ul><p><br></p>
<p><strong>Azure Developer</strong></p><p>We are seeking a knowledgeable <strong>Azure Developer</strong> to build cloud-native applications and services using Microsoft Azure technologies. This role is ideal for someone who enjoys designing scalable solutions, working with modern cloud tools, and collaborating closely with software and cloud engineering teams. The ideal candidate will have strong development skills, deep understanding of Azure services, and a passion for cloud innovation.</p><p><strong>Responsibilities</strong></p><ul><li>Develop cloud-based applications using Azure Functions, App Services, Logic Apps, and related services</li><li>Build APIs, microservices, and serverless workloads using .NET, C#, or other Azure-supported languages</li><li>Implement Azure integrations using Service Bus, Event Hub, API Management, or Durable Functions</li><li>Create and optimize Azure DevOps pipelines for CI/CD automation</li><li>Develop Infrastructure-as-Code templates using ARM, Bicep, or Terraform</li><li>Collaborate with architects and DevOps teams to ensure scalable cloud designs</li><li>Troubleshoot application issues, performance bottlenecks, and integration problems</li><li>Monitor cloud workloads, logs, costs, and performance metrics</li><li>Maintain documentation for Azure solutions, APIs, and deployment procedures</li><li>Participate in code reviews, design sessions, and architectural discussions</li></ul><p><br></p>
We are looking for a Python Developer to join a financial services organization in Plano, Texas on a contract-to-permanent basis. This opportunity is ideal for an engineer who enjoys building scalable software in a collaborative environment and contributing to high-impact lending technology initiatives. You will work alongside a cross-functional team of developers and business partners to create reliable solutions, improve platform capabilities, and help shape new technical approaches.<br><br>Responsibilities:<br>• Design, build, and enhance Python-based applications that support core lending and loan origination capabilities<br>• Partner with cross-functional teammates, including engineers and front-end developers, to deliver well-structured and maintainable software solutions<br>• Contribute to the development of new platform components and intelligent workflow features from initial design through implementation<br>• Help improve and modernize existing application architecture to support performance, scalability, and long-term maintainability<br>• Develop cloud-ready services and integrations using AWS to support secure and efficient application delivery<br>• Participate in technical discussions, code reviews, and solution planning to promote strong engineering standards across the team<br>• Translate business use cases into effective software designs and clearly communicate technical decisions to stakeholders
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>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>
We are looking for a Lead Developer Analyst to drive the design and delivery of modern software solutions in Miami, Florida. This role combines hands-on development with technical leadership, helping teams build reliable applications and improve delivery quality across the development lifecycle. The ideal candidate brings strong experience with .NET technologies, C#, and Blazor, along with the ability to guide best practices in a collaborative Agile environment.<br><br>Responsibilities:<br>• Lead the architecture, development, and enhancement of web applications using C#, ASP.NET, and Blazor.<br>• Partner with cross-functional stakeholders to translate business needs into scalable technical solutions and actionable development plans.<br>• Build and maintain backend services and APIs that support secure, high-performing application functionality.<br>• Oversee code quality through reviews, debugging, and resolution of defects while promoting development standards across the team.<br>• Manage work items, sprint progress, and issue tracking using Jira and GitHub within an Agile Scrum framework.<br>• Support testing and optimization efforts, including experimentation approaches such as A/B testing, to improve product performance and user experience.<br>• Contribute to front-end integration and responsive behavior using web technologies such as Ajax where appropriate.<br>• Mentor developers, provide technical direction, and help remove delivery obstacles throughout the software development lifecycle.
Position: Principal Data Engineer | Direct Hire Permanent<br>Location: Remote<br>Salary: $180,000 - $225,000 base plus SIGNIFICANT bonus and or equity potential<br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***<br><br>Build the data foundation that powers analytics, AI, and enterprise decision-making.<br>We’re hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you’ll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases.<br><br>What You’ll Own<br> • Design and build a modern data platform across ingestion, transformation, storage, and consumption<br> • Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document)<br> • Establish data architecture standards, modeling practices, and engineering frameworks<br> • Create secure, multi-tenant data environments with strong governance and access controls<br> • Build data models and serving layers for reporting, self-service analytics, and AI workloads<br> • Evaluate and implement cloud data technologies for performance, cost, and scalability<br> • Partner with engineering and business leaders to align data strategy with company priorities<br> • Guide vendors and external partners while enforcing internal data standards and quality<br><br>What You Bring<br> • 10+ years of experience in data engineering, including large-scale architecture ownership<br> • Strong programming skills in Python and experience with tools like Spark, Kafka, or similar<br> • Expertise building batch and streaming pipelines in cloud environments (AWS preferred)<br> • Deep knowledge of data modeling for both transactional and analytical systems<br> • Hands-on experience with Snowflake, Redshift, or modern data platforms<br> • Strong understanding of data governance, privacy, and secure data design<br> • Experience with ETL frameworks, testing, and CI/CD-driven data workflows<br> • Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders<br><br>Why This Role<br> • Architect and build a next-generation data platform from foundational level<br> • Direct impact on analytics, product insights, and AI capabilities<br> • High ownership, visibility, and influence across engineering and leadership<br> • Opportunity to define standards, tooling, and long-term data strategy<br><br>If you’re a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front.<br><br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
<p>A growing SaaS software company is seeking a senior-level Technical Content Developer to create self-directed eLearning and implementation-focused training for partner deployment teams. This individual will develop practical, scenario-based content that enables consultants, solution architects, and deployment engineers to successfully implement enterprise software solutions in customer environments.</p><p><br></p><p><strong>POSITION TITLE: Principal Technical Content Developer (Contract)</strong></p><p><strong>LOCATION: Remote</strong></p><p><strong>DURATION: 12-Month Contract</strong></p><p><strong>RATE</strong>: <strong>$60 - $70/HOUR</strong></p><p><br></p><p><strong>RESPONSIBILITIES</strong></p><ul><li>Develop technical eLearning courses, learning paths, and training materials for software deployment and implementation teams.</li><li>Convert complex configuration processes, integration workflows, troubleshooting procedures, and deployment activities into easy-to-follow training content.</li><li>Create scenario-based learning experiences, hands-on exercises, and real-world implementation simulations.</li><li>Partner with technical subject matter experts to gather requirements and ensure training content aligns with product capabilities and deployment best practices.</li><li>Maintain and update existing course content in support of product releases and ongoing enhancement initiatives.</li><li>Design microlearning content and task-based training that addresses common implementation challenges and learner needs.</li><li>Utilize AI tools and existing feedback data to accelerate content creation, outline development, and scenario generation.</li><li>Support LMS course publishing, testing, and launch activities while ensuring adherence to accessibility and content standards.</li></ul><p><br></p>
<p><strong>Network Engineer</strong></p><p><br></p><p><strong>Overview</strong></p><p>An organization is seeking a Network Engineer to support enterprise network infrastructure, end-user technology services, and operational technology environments. This role combines network engineering responsibilities with hands-on technical support and requires an individual who enjoys working across infrastructure, systems, connectivity, and user-facing technology challenges. The ideal candidate will possess strong networking expertise, a customer-service mindset, and the ability to support distributed locations while helping maintain secure, reliable, and scalable technology operations.</p><p><br></p><p><strong>Responsibilities</strong></p><p><em>Network Engineering</em></p><ul><li>Design, implement, and maintain enterprise network infrastructure</li><li>Support network availability, performance, redundancy, and security initiatives</li><li>Manage network hardware lifecycle, upgrades, and deployments</li><li>Monitor network performance and troubleshoot connectivity issues</li><li>Implement security controls and assist with cybersecurity best practices</li><li>Maintain network documentation, diagrams, and technical standards</li><li>Investigate and resolve complex infrastructure incidents</li><li>Participate in network modernization and continuous improvement efforts</li></ul><p><em>Technical Support</em></p><ul><li>Provide Tier 1 and Tier 2 support for end users across multiple locations</li><li>Troubleshoot hardware, software, network, and access-related issues</li><li>Manage incidents and service requests through a ticketing system</li><li>Escalate issues appropriately while maintaining ownership through resolution</li><li>Communicate technical concepts clearly to non-technical users</li><li>Develop and maintain user documentation and knowledge-base articles</li><li>Identify opportunities to reduce recurring support issues through process improvement</li></ul>