<p><strong>Data Pipeline Development & Integration</strong></p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.</li><li>Develop automated data integration solutions supporting enterprise applications, analytics, and reporting.</li><li>Integrate structured and semi-structured data from APIs, relational databases, cloud platforms, and third-party systems.</li><li>Develop batch and real-time data processing solutions.</li><li>Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.</li></ul><p><strong>Data Warehousing & Architecture</strong></p><ul><li>Design and optimize enterprise data warehouses, data lakes, and lakehouse architectures.</li><li>Develop efficient data models, schemas, and transformations to support business intelligence and analytics.</li><li>Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.</li><li>Optimize SQL queries, database performance, and data processing workloads.</li><li>Implement data partitioning, indexing, and storage optimization strategies.</li></ul><p><strong>Data Quality & Governance</strong></p><ul><li>Develop automated data validation, monitoring, and quality assurance processes.</li><li>Ensure data accuracy, consistency, reliability, and availability across enterprise systems.</li><li>Implement data governance standards, access controls, and security best practices.</li><li>Maintain documentation for data pipelines, architecture, and transformation logic.</li><li>Support compliance with organizational data privacy and security requirements.</li></ul><p><strong>Cloud Engineering & Automation</strong></p><ul><li>Develop and maintain cloud-native data pipelines and processing workflows.</li><li>Utilize orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.</li><li>Implement CI/CD practices for data engineering workflows.</li><li>Automate data processing, monitoring, and infrastructure deployment.</li><li>Collaborate with DevOps and infrastructure teams to improve scalability and reliability.</li></ul><p><strong>Analytics & AI Support</strong></p><ul><li>Partner with business intelligence and analytics teams to deliver reliable datasets for reporting and dashboards.</li><li>Develop curated data models supporting Power BI, Tableau, and other visualization platforms.</li><li>Build data pipelines supporting machine learning, predictive analytics, and AI applications.</li><li>Collaborate with AI engineers and data scientists to prepare, transform, and deliver data for model development and production applications.</li><li>Identify opportunities to improve business processes through better data integration and automation.</li></ul><p><br></p><p><br></p>
We are looking for an experienced Data Engineer to join a construction and contractor-focused organization in Appleton, Wisconsin. This contract opportunity with potential for a permanent role is ideal for a senior-level candidate who enjoys building scalable cloud-based data platforms, working hands-on with Python and notebook-driven development, and applying AI-enabled tools to create practical business solutions. The role will focus on designing modern data lake capabilities, improving data movement and transformation processes, and partnering with stakeholders to deliver reliable analytics infrastructure.<br><br>Responsibilities:<br>• Design, build, and enhance modern data lake architecture in Google Cloud Platform to support scalable and efficient data operations.<br>• Develop robust data pipelines using Python, SQL, Spark, and ETL frameworks to ingest, transform, and prepare data from multiple sources.<br>• Create and maintain notebook-based solutions that demonstrate clear technical approaches, reusable logic, and well-documented project outcomes.<br>• Integrate large-scale data processing technologies such as Hadoop and Kafka to support high-volume and streaming data workloads.<br>• Collaborate with cross-functional teams to translate business needs into data engineering solutions that improve reporting, analytics, and operational decision-making.<br>• Apply AI-driven tools and approaches to accelerate development, improve solution quality, and deliver innovative customer-focused outcomes.<br>• Support cloud data environments that may include Azure Data Lake and related platforms as part of broader enterprise data initiatives.<br>• Contribute to data platform improvements, including work connected to enterprise tool adoption or internal platform changes when needed.
<p>Robert Half is seeking a <strong>Contract Data Engineer</strong> to support our client’s data and analytics initiatives. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable efficient data ingestion, transformation, and delivery. The ideal candidate has strong experience working with modern data platforms, cloud environments, and large-scale datasets.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li><strong>Data Pipeline Development:</strong> Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li><strong>Data Architecture:</strong> Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li><strong>Cloud Data Platforms:</strong> Work within cloud environments such as <strong>AWS, Azure, or GCP</strong> to deploy and manage data solutions.</li><li><strong>Data Warehousing:</strong> Design and support enterprise data warehouses using platforms such as <strong>Snowflake, Redshift, BigQuery, or Azure Synapse</strong>.</li><li><strong>Big Data Processing:</strong> Develop solutions using big data technologies such as <strong>Spark, Databricks, Kafka, and Hadoop</strong> when required.</li><li><strong>Performance Optimization:</strong> Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li><strong>Data Quality & Reliability:</strong> Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li><strong>Collaboration:</strong> Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li><strong>Documentation:</strong> Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul><p><br></p>
We are looking for an experienced Data Engineer to support enterprise-scale data initiatives for a financial services environment in Cincinnati, Ohio. This Long-term Contract position will focus on building reliable data foundations, shaping data structures that support investment and portfolio reporting, and partnering with business and technology leaders to solve complex information challenges. The ideal candidate brings deep expertise in modern data engineering, strong knowledge of financial data domains, and the ability to turn strategic needs into scalable technical solutions.<br><br>Responsibilities:<br>• Design and maintain scalable data pipelines that collect, transform, and deliver high-value business and financial data across enterprise platforms.<br>• Develop conceptual, logical, and physical data models that improve consistency, usability, and long-term management of critical information assets.<br>• Collaborate with executive stakeholders, business teams, and technical partners to define data solutions aligned with operational and strategic objectives.<br>• Establish and strengthen practices for data governance, stewardship, metadata management, lineage tracking, and data quality oversight.<br>• Translate complex business questions related to funds, investments, portfolio companies, and investors into effective engineering and data architecture solutions.<br>• Build and optimize ETL workflows using technologies such as Python, Apache Spark, Hadoop, and Kafka to support large-scale data processing.<br>• Partner across business and technology functions to ensure data platforms meet regulatory, privacy, risk, and compliance expectations within a financial services setting.<br>• Analyze enterprise data issues, identify improvement opportunities, and implement solutions that enhance reliability, accessibility, and reporting accuracy.
We are looking for a Data Engineer to support analytics and data product development for a healthcare-focused team in Florida. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building scalable reporting solutions, creating modern data products, and improving how business users access insights. The role combines hands-on dashboard development with engineering work in Databricks, helping expand advanced analytics capabilities across a lakehouse-based environment.<br><br>Responsibilities:<br>• Design and deliver interactive dashboards and reporting solutions that support business decision-making across the analytics function.<br>• Build and enhance data products within Databricks to provide reliable, user-friendly access to operational and analytical insights.<br>• Develop and maintain ETL pipelines using Python, Apache Spark, and Azure-based data services to prepare data for reporting and analysis.<br>• Create scalable data models and curated datasets in Azure Data Lake and related platforms to support self-service analytics.<br>• Contribute to AI-enabled business intelligence solutions using Databricks tools and lakehouse technologies.<br>• Partner with analytics stakeholders to translate reporting needs into technical solutions that are accurate, efficient, and maintainable.<br>• Support the evolution of reporting assets, including work associated with shifting Power BI-based reporting into Databricks environments.<br>• Monitor data quality, troubleshoot reporting issues, and optimize performance across dashboards, pipelines, and data assets.
We are looking for an experienced Data Engineer to support the design and delivery of scalable data solutions within the People and HR data domain in Philadelphia, Pennsylvania. This Long-term Contract position is ideal for someone who can step into an existing environment, learn source systems quickly, and build reliable data pipelines that support reporting and business analysis. The role centers on hands-on development using Azure Databricks, Spark, and Azure Data Factory, with an emphasis on creating production-ready data assets. Experience working with HR data and workforce-related systems will be highly valuable in helping translate business needs into dependable engineering solutions.<br><br>Responsibilities:<br>• Design, build, and maintain data pipelines that ingest, transform, and prepare HR and workforce data for downstream analytics and reporting.<br>• Develop scalable data processing solutions using Azure Databricks, Python, Spark, and SQL to support production-grade data products.<br>• Orchestrate and monitor data workflows through Azure Data Factory to ensure timely, accurate, and resilient data movement.<br>• Analyze existing data sources and business requirements to create efficient transformation logic and structured datasets.<br>• Collaborate with stakeholders across technical and functional teams to align data engineering deliverables with HR reporting and operational needs.<br>• Improve data quality, performance, and reliability by applying sound ETL practices, validation checks, and optimization techniques.<br>• Support integration efforts involving HR systems and related interfaces, including work connected to evolving source platforms when needed.<br>• Contribute to documentation, technical standards, and knowledge sharing to support maintainability and long-term solution success.
We are looking for a Data Engineer to join a Contract engagement supporting people analytics and HR-focused data initiatives in Philadelphia, Pennsylvania. This role is centered on designing, building, and refining scalable data pipelines and curated data assets using Azure Databricks and Azure Data Factory. The ideal candidate will be comfortable working hands-on with complex source data, translating business needs into reliable transformations, and delivering production-ready solutions with minimal oversight.<br><br>Responsibilities:<br>• Design, build, and maintain robust ETL and ELT workflows that support HR and workforce data products.<br>• Develop scalable data transformations using Python, SQL, Spark, and Azure Databricks to prepare high-quality datasets for downstream use.<br>• Orchestrate and monitor pipeline execution through Azure Data Factory to ensure dependable and timely data delivery.<br>• Analyze existing source systems and data structures to map requirements and create efficient ingestion and transformation logic.<br>• Partner with stakeholders across HR and analytics teams to turn business questions into practical engineering solutions.<br>• Improve data quality, performance, and reliability by applying modern engineering standards, testing practices, and documentation.<br>• Support integrations across HRIS and related platforms, including contributing to interface development where needed.<br>• Create production-ready datasets that enable reporting, workforce analysis, and broader people data initiatives.
We are looking for an experienced Data Engineer for a permanent opportunity in Northern, Virginia. In this role, you will design reliable data solutions that support analytics and business decision-making while helping improve the overall data environment. The ideal candidate brings strong technical depth in modern data engineering practices and enjoys building scalable systems from the ground up. <br> Responsibilities: • Design, develop, and maintain robust data pipelines that collect, transform, and deliver high-quality data for reporting and analysis. • Create and optimize data models that support business intelligence, analytics, and operational use cases across the organization. • Build and manage ETL workflows using Python and related technologies to ensure efficient movement of data between systems. • Work with large-scale data processing tools such as Apache Spark and Hadoop to handle complex and high-volume datasets. • Integrate streaming and batch data sources using technologies such as Apache Kafka to support timely and reliable data availability. • Collaborate with analysts, engineers, and business stakeholders to translate data needs into scalable engineering solutions. • Improve data warehouse performance, structure, and reliability to support accurate and accessible enterprise data. • Use dbt and other modern data transformation practices to organize, test, and document datasets effectively.
<p>A Manufacturing/ distribution company is looking for a Data Engineer with 3 + years of experience to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining the data infrastructure to support analytics and decision-making processes. You will be a key contributor in developing, optimizing, and maintaining the data infrastructure that supports analytics and business intelligence initiatives, and data driven decision-making using Snowflake, Matillion, and other tools. Position will be in-office to work closely with the team. You must live in the Oklahoma City area. Client is unable to sponsor. No 3rd parties please.</p><p><br></p><p>Responsibilities:</p><p><br></p><p>• Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.</p><p>• Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.</p><p>• Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.</p><p>• Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.</p><p>• Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.</p><p>• Ensure data quality, governance, and integrity by implementing and enforcing best practices.</p>
Position: Data Engineer<br>Location: Oskaloosa, IA / Des Moines, IA -- Onsite<br>Salary: $100,000 - $120,000 base + exceptional benefits<br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. ***<br><br>Data Engineer<br>Shape the Future of Enterprise Analytics, AI & Data Innovation<br>Are you the type of data professional who sees a business problem and immediately starts thinking about how to model, engineer, and deliver the right solution?<br>A highly successful, technology-driven organization is seeking a Data Engineer to help build the foundation for enterprise analytics, business intelligence, governance, and next-generation AI initiatives. This is an opportunity to make a visible impact across the business while working alongside a collaborative team of data professionals who are passionate about solving complex challenges.<br>This role is ideal for someone who enjoys being hands-on, partnering with the business, and building modern data solutions that drive meaningful outcomes.<br>What You'll Do<br> • Design and develop scalable data models, semantic layers, and enterprise data solutions<br> • Build trusted data structures that support analytics, reporting, AI, and business intelligence initiatives<br> • Develop and optimize cloud-based data pipelines and integrations<br> • Improve data governance, lineage, metadata management, and observability practices<br> • Create automated data quality and validation frameworks<br> • Implement CI/CD processes and modern DataOps best practices<br> • Optimize SQL performance across warehouses, lakehouses, and reporting environments<br> • Partner with analysts and business stakeholders to transform complex problems into actionable solutions<br> • Contribute to technical standards, mentoring, documentation, and architectural best practices<br>What We're Looking For<br>Core Qualifications<br> • Strong experience with data modeling and semantic modeling<br> • Hands-on experience with Microsoft Fabric, Azure, and Power BI<br> • Advanced SQL development and performance optimization skills<br> • Experience with Git, CI/CD, and modern data engineering practices<br> • Ability to translate business requirements into scalable technical solutions<br> • Experience developing enterprise data pipelines and analytics platforms<br> • A plus if you have data governance, data warehouse, data lake and or DBT experience.<br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
<p>We are looking for a Data Automation Engineer to design, develop, and maintain scalable data automation solutions leveraging AWS cloud services, selected Azure technologies, and emerging Generative AI capabilities.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Design and implement scalable data automation workflows using AWS services with integration to Azure platforms.</p><p>· Develop and maintain ETL/ELT processes to ingest, transform, and move data across DynamoDB, SQL Server, Azure SQL, and other enterprise data sources.</p><p>· Build and support batch and near real-time data pipelines using Apache Spark and streaming technologies such as Kafka or Flume.</p><p>· Develop scalable data processing solutions utilizing Amazon EMR, AWS Fargate, Kubernetes, and related cloud technologies.</p><p>· Integrate REST APIs, external services, and Amazon Connect customer interaction data into analytics platforms.</p><p>· Evaluate and prototype Generative AI solutions using Amazon Bedrock, Azure OpenAI, Hugging Face, LangChain, and related technologies.</p><p>· Implement source control, CI/CD, and automation practices using GitHub, Azure DevOps, Jenkins, Docker, and Agile methodologies.</p><p>· Ensure data solutions meet security and compliance requirements, including IAM, encryption, RBAC, VPC isolation, and firewall policies.</p>
<p>We are seeking a highly experienced <strong>Senior iSeries Systems Engineer</strong> to manage, maintain, and enhance a multi-server, multi-partitioned IBM i / iSeries environment (Power9 and Power10). This individual will serve as a technical subject matter expert, overseeing system administration, OS upgrades, patching, security, performance, replication, and enterprise application support.</p><p><br></p><p>The ideal candidate will have strong hands-on experience with IBM i / iSeries administration, RPG, CL, and SQL programming, backups, performance tuning, PTF management, and hardware and OS administration. Experience with Infor M3 is highly desirable. This role also requires technical leadership, project ownership, vendor coordination, troubleshooting, and the ability to train end users and support staff.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Administer and support a multi-server, multi-partitioned IBM i / iSeries environment.</li><li>Monitor and manage system backups, recovery, performance tuning, and replication.</li><li>Provide RPG, CL, and SQL programming support.</li><li>Manage PTFs, patches, system security, hardware, and operating system upgrades.</li><li>Oversee application versions, system environments, fixes, and grids.</li><li>Coordinate technical issues and support requests with IBM and Infor.</li><li>Support Infor products, applications, and utilities, including training end users and technical staff.</li><li>Lead technical projects involving upgrades, enhancements, patching, and new technology implementations.</li><li>Own complex technical issues across multiple systems and technologies.</li><li>Facilitate change management and ensure projects meet deadlines and established objectives.</li><li>Research and implement system administration best practices, tools, and process improvements.</li><li>Provide technical guidance and support to associates and internal teams.</li></ul>
We are looking for a Deployment Engineer to support endpoint deployment, software distribution, and device lifecycle activities for a construction-focused organization in Towson, Maryland. This Long-term Contract position is ideal for someone who enjoys hands-on Windows endpoint administration, improving device reliability, and helping maintain a secure and well-managed desktop environment. The role will work closely with enterprise tools for provisioning, application control, patching, and endpoint monitoring in a detail-oriented onsite setting.<br><br>Responsibilities:<br>• Manage the packaging, testing, and release of software to user devices across the organization.<br>• Coordinate workstation setup activities, including provisioning, imaging, and deployment of Windows endpoints.<br>• Monitor device performance and endpoint health, then investigate and resolve operational issues affecting end users.<br>• Apply security updates and assist with remediation efforts to address vulnerabilities on managed systems.<br>• Review and adjust PowerShell-based templates or existing scripts to support deployment and remediation tasks.<br>• Administer application control settings and update related policies to align with operational and security needs.<br>• Maintain and refine desktop images to support consistent device builds and deployment standards.<br>• Support Windows endpoint administration through enterprise management platforms such as Ivanti, Neurons, or comparable tools.<br>• Provide regular status updates on deployment activities, rollout progress, and endpoint-related issues.
<p>We are looking for an IT Field Technician to support device rollout across multiple locations in the Greater Philadelphia Region. This role focuses on preparing, configuring, and distributing a range of hardware while helping maintain a smooth deployment experience across the organization. The ideal candidate is comfortable working with multiple operating environments, providing clear progress updates, and resolving technical issues tied to network devices and PCs. </p><p>Responsibilities:</p><p>• Configure, stage, and deploy security systems, network devices and laptops</p><p>• Perform device imaging, software installation, and account setup to ensure equipment is ready for immediate business use.</p><p>• Coordinate with internal teams to manage user provisioning and access through Active Directory.</p><p>• Install and validate required business and medical software on assigned devices, confirming proper functionality before release.</p><p>• Track deployment progress and communicate timely status updates to stakeholders, team members, and project leads.</p><p>• Use established deployment tools to streamline setup, configuration, and asset readiness processes.</p><p>• Document deployment activities, issue resolutions, and inventory details to maintain accurate project records.</p>
We are looking for an Automation Engineer to support industrial technology systems in New Holland, Pennsylvania. This position focuses on building reliable connections between plant operations and enterprise platforms while helping teams maintain secure, high-performing OT environments. The role also works closely with operational and technical stakeholders to strengthen system architecture, improve support processes, and uphold cybersecurity standards across the facility.<br><br>Responsibilities:<br>• Design and deploy automation and operational technology solutions that enable dependable system performance and effective data exchange across plant and enterprise environments.<br>• Partner with production, engineering, and IT teams to align shop-floor control systems with broader infrastructure and business applications.<br>• Review and confirm industrial architecture plans to ensure technical soundness, scalability, and compliance with organizational standards.<br>• Establish and maintain connectivity between manufacturing automation platforms and company systems used for reporting, monitoring, and data sharing.<br>• Support site teams in sustaining OT equipment and software by promoting preventive maintenance and resolving performance issues.<br>• Guide troubleshooting efforts for operational technology incidents and help drive timely corrective actions to minimize disruption.<br>• Apply and maintain cybersecurity controls that reduce risk to plant systems and strengthen protection against operational threats.<br>• Execute remediation activities identified through security reviews, assessments, and audit findings within OT environments.<br>• Enforce industrial cybersecurity policies and site procedures to ensure operational technology systems remain compliant and secure.
<p><strong>Part-Time Systems & Network Engineer (Direct Hire | 34 Hours/Week)</strong></p><p><strong>ONSITE: Des Moines, Iowa with Off-Hours support = Onsite & Remote </strong></p><p><strong>Part-time Hourly position PLUS Overtime Pay: $56 / hour.</strong></p><p>We are seeking a <strong>hands-on Systems & Network Engineer</strong> for a <strong>permanent direct hire, part-time opportunity</strong> working <strong>34 hours per week</strong>. This role offers a flexible schedule with <strong>some off-hours and evening onsite work</strong> to support maintenance, updates, and infrastructure changes with minimal business disruption.</p><p><strong>Why Consider This Role</strong></p><p>You will enjoy being the go-to technical resource, balancing support with project work, and having flexibility in how your week is structured, this could be an excellent fit.</p><p>This is a strong opportunity for someone who enjoys autonomy and wants to take ownership. Serve as the primary engineer responsible for both <strong>systems administration and network engineering</strong>, making this ideal for someone comfortable operating independently and driving solutions from start to finish.</p><p>*** For confidential consideration, please send a message to CARRIE DANGER, SVP Permanent Placement - on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***</p><p><strong>What You’ll Do</strong></p><ul><li>Administer and support server, systems, and network infrastructure</li><li>Maintain and enhance VMware and Windows Server environments</li><li>Manage switching, routing, firewall, and network connectivity</li><li>Support Azure and cloud-focused infrastructure initiatives</li><li>Oversee Active Directory, Microsoft 365, and Exchange Online</li><li>Handle patching, updates, alerting, and infrastructure maintenance</li><li>Coordinate scheduled server and network changes, including communication around downtime and maintenance windows</li><li>Support audit readiness, compliance controls, and infrastructure documentation</li><li>Assist with modernization efforts involving VPN, remote access, cloud migration, and data center improvements</li><li>Take ownership of projects and independently drive issues through resolution</li></ul><p><strong>Technical Background Needed</strong></p><p>Candidates should have current, hands-on experience across both <strong>systems and networking</strong>.</p><p>Preferred experience includes:</p><p>*Systems administration and network engineering</p><p>*Windows Server & VMware</p><p>*Cisco networking, including Cisco Routers, Switches, firewalls, and Cisco Meraki</p><p>*Citrix technologies</p><p>*Azure and Active Directory</p><p>*Microsoft 365 and Exchange Online</p><p>*SAN/storage administration</p><p>*PowerShell scripting</p><p>*Patch management and infrastructure lifecycle support</p><p>*Remote access technologies such as VPN solutions, Tailscale, or similar tools</p><p>*Exposure to Parallels RAS is a plus</p><p>Part-time Hourly position PLUS Overtime Pay: $56 / hour. For immediate and confidential consideration, reach out directly to Carrie Danger, SVP of Permanent Placement: Office: 515-259-6087 Mobile: 515-991-0863. Email: (found on MY LinkedIn profile)</p><p>Your application will remain confidential; resumes will never be shared without your permission.***</p>
<p>We are seeking an Integration Engineer to support the design, development, and maintenance of cloud-based integration solutions within a growing organization. This role will focus on connecting business applications, data platforms, and enterprise systems while helping improve data flow, automation, and overall system interoperability. The position offers the opportunity to work closely with both technical and business teams to deliver scalable integration capabilities and contribute to long-term architecture and platform strategy.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Design, develop, and maintain integration solutions that enable secure and reliable data exchange across applications and systems.</li><li>Build and support APIs, interfaces, and integration services while ensuring appropriate security, governance, and lifecycle management.</li><li>Develop and enhance automated deployment and operational processes to improve efficiency and reliability.</li><li>Design and implement integration patterns that support both real-time and asynchronous communication needs.</li><li>Collaborate with stakeholders to gather requirements, define technical solutions, and support implementation efforts.</li><li>Create and maintain technical documentation related to integrations, interfaces, and development standards.</li><li>Troubleshoot and resolve integration-related issues, including data, configuration, and system connectivity challenges.</li><li>Support ongoing platform enhancements, modernization initiatives, and system integrations as business needs evolve.</li><li>Develop data transformation and movement processes across multiple systems and platforms.</li><li>Promote best practices, reusable components, and scalable integration frameworks across the enterprise environment.</li></ul><p><br></p>
<p>We're looking for a hands-on SAN L3 Engineer to support and administer enterprise storage infrastructure in a high-availability production environment. This role is ideal for someone who enjoys solving complex storage issues, optimizing performance, and partnering with server, virtualization, and network teams to keep critical systems running smoothly.</p><p><br></p><p><strong>What You'll Be Doing</strong></p><ul><li>Provide Level 3 support for enterprise SAN and storage environments</li><li>Troubleshoot storage outages, performance bottlenecks, and connectivity issues</li><li>Manage Dell EMC PowerMax, Unity, and Data Domain platforms</li><li>Perform storage provisioning, LUN masking, zoning, replication, snapshots, and migrations</li><li>Support VMware environments, including vSphere, ESXi, and vCenter integrations</li><li>Monitor capacity, utilization, and storage health while identifying optimization opportunities</li><li>Partner with infrastructure, server, network, and application teams to resolve incidents</li><li>Participate in upgrades, patching, change management, and disaster recovery initiatives</li><li>Support backup and recovery operations and ensure business continuity readiness</li><li>Maintain storage documentation, SOPs, and operational runbooks</li><li>Participate in on-call support and critical incident response activities</li></ul><p><br></p>
<p><strong>Software Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading organization is seeking a Software Engineer to help develop next-generation AI platforms. This is an opportunity to work on cutting-edge AI technologies within a highly collaborative and innovative engineering environment.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Software Engineer will design, build, and optimize enterprise-grade AI platforms that connect structured and unstructured data, knowledge graphs, retrieval systems, and intelligent workflows. 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>We are looking for a senior integration engineer with advanced Workday expertise and a strong foundation in enterprise integration design. This position focuses on building, refining, and resolving complex integrations between Workday and connected business systems. The role calls for a hands-on engineer who can work at the API and payload level, apply sound engineering judgment, and deliver reliable integration outcomes across multiple platforms.</p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and maintain integrations that connect Workday with enterprise applications using APIs, web services, and workflow tools.</p><p>• Examine raw request and response data to identify failures, trace root causes, and implement durable fixes for integration issues.</p><p>• Create integration solutions that emphasize validation, predictable processing, resilient error handling, and clear audit visibility.</p><p>• Work closely with technical teams to support orchestration approaches involving Microsoft Power Automate and related automation platforms.</p><p>• Analyze Workday business process behavior, object relationships, and data dependencies to ensure accurate system interactions.</p><p>• Configure secure authentication and integration context settings that protect data and support reliable connectivity across systems.</p><p>• Build and enhance interfaces that respect system-of-record rules while enabling external platforms to coordinate downstream actions.</p><p>• Document technical designs, troubleshooting findings, and implementation decisions to support maintainability and operational readiness.</p>
<p>Robert Half Technology is seeking an experienced <strong>Privacy & Data Governance Consultant</strong> to support a client in the travel and insurance industry. This individual will play a key role in assessing and strengthening the organization's privacy and data governance practices, ensuring compliance with applicable regulations, and enhancing existing policies, procedures, and data protection controls.</p><p> </p><p><strong>This is primarily privacy compliance, governance, and policy-focused opportunity rather than a hands-on engineering role.</strong></p><p><strong> </strong></p><p><strong>Duration: </strong>6-month contract, with potential to extend</p><p><strong>Location: </strong>Client is based in Washington State – 100% remote</p><p><strong>Pay rate: </strong>$65-$75/hr</p><p> </p><p><strong>Key Responsibilities</strong></p><ul><li>Assess the organization's current privacy and data governance environment to identify gaps, risks, and opportunities for improvement.</li><li>Develop, review, and update privacy policies, procedures, and data protection practices to align with regulatory requirements and organizational objectives.</li><li>Support compliance with applicable federal and state privacy regulations, with an emphasis on Washington State privacy requirements.</li><li>Utilize Microsoft Purview to support data governance initiatives, including sensitivity labeling, data classification, and policy configuration.</li><li>Evaluate how sensitive information is collected, stored, accessed, protected, and shared across organizational systems.</li><li>Review existing data protection controls and recommend improvements to strengthen privacy compliance and reduce organizational risk.</li><li>Establish and refine data handling guidelines to ensure information is appropriately classified, protected, and shared.</li><li>Collaborate with internal technology, security, compliance, and business teams to align privacy policies with operational practices.</li><li>Provide guidance on privacy considerations related to Microsoft cloud environments, data centers, and emerging technologies.</li><li>Support ongoing privacy and data governance initiatives during organizational changes and process improvements.</li></ul>
We are looking for a senior-level software engineer to join a contract opportunity with potential for a permanent role, supporting life insurance technology initiatives in West Des Moines, Iowa. This role will guide technical direction across policy administration and connected enterprise platforms, helping deliver resilient, secure, and scalable solutions that support both customer and operational needs. The ideal candidate brings deep Java engineering expertise, strong integration experience, and the ability to influence architecture, delivery, and modernization efforts in a complex distributed environment.<br><br>Responsibilities:<br>• Provide technical leadership for solution design and implementation across policy administration applications and interconnected enterprise systems.<br>• Build and enhance software components using Java, Spring Boot, Angular, TypeScript, and integration technologies to support business-critical insurance capabilities.<br>• Drive end-to-end architecture decisions by assessing dependencies, integration points, and system impacts across upstream and downstream platforms.<br>• Partner with cross-functional teams to deliver APIs, data flows, and middleware integrations that connect customer-facing tools, operational systems, and reporting environments.<br>• Lead design reviews, code reviews, and technical discussions to promote maintainable engineering standards and sound architectural choices.<br>• Support deployment and delivery practices through CI/CD pipelines, containerized applications, Kubernetes, and modern DevSecOps approaches.<br>• Investigate and resolve complex production issues spanning applications, APIs, databases, middleware, and enterprise support systems.<br>• Recommend solution placement across application, integration, and data layers to ensure capabilities are implemented in the most effective technology domain.<br>• Contribute to technical roadmaps, modernization planning, and engineering improvements that strengthen long-term platform performance and scalability.
We are looking for an IAM Engineer to strengthen identity governance capabilities for a growing enterprise environment in San Antonio, Texas. This role focuses on enhancing access management processes, improving platform reliability, and supporting secure integration across critical business systems. The ideal candidate will bring hands-on experience with identity administration tools, strong troubleshooting ability, and a practical understanding of compliance-driven access controls.<br><br>Responsibilities:<br>• Manage and enhance the Saviynt identity governance platform to support joiner, mover, and leaver processes, automated provisioning, and access oversight.<br>• Configure connections between Saviynt and enterprise technologies such as Microsoft Entra ID, Active Directory, HR platforms, databases, cloud services, and other integrated applications using APIs and connectors.<br>• Create and maintain workflows, rules, reports, and validation processes that increase automation, improve data quality, and strengthen governance outcomes.<br>• Monitor system health, review performance trends, and resolve complex technical issues to improve availability, scalability, and operational efficiency.<br>• Partner with cybersecurity teams, application owners, auditors, and business stakeholders to design and refine identity controls and governance solutions.<br>• Support identity modernization efforts through application onboarding, migration-related activities, certification campaigns, and governance improvements.<br>• Produce and maintain operational documentation including support records, runbooks, troubleshooting guides, and technical procedures.<br>• Develop dashboards and reporting capabilities to track provisioning performance, certification progress, platform usage, and compliance metrics.<br>• Contribute to backup, recovery, and disaster recovery planning by assisting with testing processes and infrastructure resilience activities.
We are looking for a Principal Radar Systems Engineer to lead the system definition, performance analysis, and verification of advanced radar solutions in Lindon, Utah. This position is suited for an experienced engineer who can connect architecture, subsystem design, and test strategy while working across software, firmware, RF, electronics, and mechanical disciplines. The role combines deep technical ownership with hands-on validation, helping ensure radar capabilities meet operational objectives from concept through field testing.<br><br>Responsibilities:<br>• Direct system-level design activities for advanced radar platforms, including architecture development, interface definition, and performance allocation across subsystems.<br>• Evaluate radar behavior using core principles such as waveform selection, range prediction, target response, detection performance, and tracking accuracy.<br>• Perform analytical studies to assess key metrics including detection range, angle estimation precision, target characterization, and interference effects in multi-radar environments.<br>• Guide the integration of radar assemblies and supporting subsystems into broader product architectures, resolving cross-domain technical issues as they arise.<br>• Create, maintain, and refine system requirements to ensure traceability, technical consistency, and alignment with operational needs.<br>• Plan and execute verification and validation efforts throughout the development lifecycle, using analysis, inspection, demonstration, and formal testing methods.<br>• Establish scalable test strategies for laboratory, integration, and field environments, and produce the associated plans, procedures, and final reports.<br>• Lead indoor and outdoor radar test campaigns, coordinating instrumentation, logistics, data collection, and deployment activities in varied operating conditions.<br>• Investigate performance anomalies through structured troubleshooting and root-cause analysis, and implement disciplined practices for test data storage and tracking.
We are looking for an experienced Sr. NetOps Engineer to strengthen and secure a complex enterprise network environment. This role is ideal for an experienced, detail-oriented individual who brings deep expertise in Cisco-based infrastructure, network protection strategies, and large-scale deployment work. The successful candidate will help maintain reliable connectivity across multiple sites while advancing secure access, routing performance, and operational resilience.<br><br>Responsibilities:<br>• Lead the design, implementation, and ongoing support of enterprise network infrastructure with a strong emphasis on Cisco technologies.<br>• Manage and optimize routing, switching, and secure connectivity across multi-site and remote-access environments.<br>• Configure and maintain network security platforms, including firewalls, VPN solutions, traffic visibility tools, and identity-aware access controls.<br>• Drive major infrastructure initiatives such as large-scale deployments, integrations, and network modernization efforts.<br>• Monitor network health and performance, using flow analysis and diagnostic data to identify issues and improve reliability.<br>• Strengthen security posture by applying zero-trust principles, secure access methods, and data protection measures throughout the network.<br>• Collaborate with cross-functional teams to troubleshoot complex incidents and ensure stable service delivery for business operations.<br>• Document architecture, operational standards, and support procedures to promote consistency and effective network governance.