<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>
We are looking for a Data Engineer to build and enhance scalable data solutions that support analytics and business decision-making in Jacksonville, Florida. This role focuses on designing reliable warehouse structures, developing efficient data pipelines, and improving data quality across enterprise platforms. The ideal candidate brings strong technical depth in modern data engineering practices and is comfortable partnering with cross-functional teams to deliver well-governed, high-performing data assets.<br><br>Responsibilities:<br>• Design and maintain enterprise data warehouse solutions using dimensional modeling techniques that support reporting, analytics, and long-term scalability.<br>• Develop, orchestrate, and optimize ETL and ELT workflows for batch and near real-time data movement using modern pipeline and scheduling tools.<br>• Build robust data architectures across cloud-based platforms while balancing performance, resilience, and cost efficiency.<br>• Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks, then implement practical fixes that improve reliability and throughput.<br>• Apply governance standards by supporting data quality controls, metadata practices, lineage visibility, and role-based access management.<br>• Partner with business and technical stakeholders to translate data needs into well-structured solutions and provide clear updates on progress, risks, and delivery timelines.<br>• Create efficient code for data transformation and aggregation using Python and advanced query development techniques.<br>• Integrate data from databases, APIs, streaming platforms, and external sources to support a broad range of analytical use cases.<br>• Mentor team members and contribute ideas that streamline processes, reduce friction, and strengthen engineering best practices.
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.
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.
<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 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.
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.
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. ***
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.
<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>
<p>Robert Half is building relationships with experienced Backend Software Engineers interested in potential opportunities supporting financial technology platforms, payment processing systems, and enterprise transaction services.</p><p>We are looking to connect with engineers who understand the challenges of building systems where security, reliability, and transaction accuracy are essential.</p><p>The ideal professional has extensive experience developing Java-based applications, designing distributed systems, and supporting backend services that handle high-volume financial transactions.</p><p>Relevant client projects may include payment processing modernization, transaction reconciliation, API development, and cloud-based financial services infrastructure.</p><p>What You'll Be Responsible For</p><ul><li>Architect, develop, and maintain backend services using Java and the Spring Boot framework.</li><li>Design secure RESTful APIs supporting payment transactions, account services, and third-party financial integrations.</li><li>Develop microservices that process large volumes of transactions while maintaining accuracy and system availability.</li><li>Build event-driven applications using Apache Kafka or comparable messaging platforms.</li><li>Implement transaction idempotency, retry mechanisms, and error-handling strategies to prevent duplicate or inconsistent processing.</li><li>Design and optimize PostgreSQL or other relational databases, including queries, indexes, and transactional operations.</li><li>Support payment settlement, reconciliation, and audit-trail functionality.</li><li>Diagnose performance bottlenecks involving database operations, service communication, and asynchronous workloads.</li><li>Implement authentication, authorization, encryption, and secure coding practices for sensitive financial information.</li><li>Contribute to deployment processes using Docker, Kubernetes, and cloud infrastructure.</li><li>Improve application observability through centralized logging, metrics, distributed tracing, and alerting.</li><li>Collaborate with product owners, security teams, quality engineers, and technical architects on service design and delivery.</li><li>Mentor less experienced engineers, review code, and participate in architectural decision-making.</li></ul><p><br></p>
We are looking for an experienced technology leader to guide software engineering and analytics initiatives for a healthcare organization in Minnetonka, Minnesota. This role will lead a multidisciplinary team of developers and data professionals, shaping scalable digital solutions that support operational and business goals. The ideal candidate brings a strong mix of hands-on technical knowledge, people leadership, and the ability to align technology investments with measurable outcomes.<br><br>Responsibilities:<br>• Lead and develop a team of software developers and data analysts, fostering accountability, collaboration, and strong performance.<br>• Set the direction for application development, analytics, reporting, integrations, and automation efforts across the organization.<br>• Build and manage a technology roadmap that balances business priorities, risk, resource planning, and long-term value.<br>• Partner with stakeholders across operational, clinical, administrative, and support functions to turn business needs into practical technical solutions.<br>• Oversee delivery practices for modern software development, including Agile execution, release planning, quality standards, and operational support.<br>• Drive the design and improvement of dashboards, reporting tools, and data solutions that enhance decision-making and accessibility.<br>• Guide the use of cloud platforms, APIs, and enterprise architecture approaches to support scalable and reliable systems.<br>• Communicate progress, priorities, investment needs, and outcomes clearly to senior leadership and other key partners.
We are looking for an experienced Cobol Mainframe Systems Programmer to support critical enterprise applications in Des Moines, Iowa. This Long-term Contract position is ideal for someone who combines strong IBM mainframe programming expertise with a solid understanding of insurance-related business processes. The role focuses on building, troubleshooting, and enhancing core systems while partnering with business and technical teams to deliver reliable solutions.<br><br>Responsibilities:<br>• Develop, test, troubleshoot, and maintain COBOL-based applications running in an IBM mainframe environment.<br>• Support production and project work involving core mainframe components, including CICS and related application services.<br>• Collaborate with stakeholders to translate insurance, actuarial, and financial business needs into effective technical solutions.<br>• Analyze existing system behavior, identify defects, and implement code changes that improve stability and performance.<br>• Assist with integration and data exchange activities involving mainframe applications and connected SQL Server-based systems.<br>• Document program logic, technical updates, and support procedures to promote consistency and maintainability.<br>• Participate in application enhancement efforts tied to policy administration or annuity and life insurance processing platforms.<br>• Contribute to ongoing support for specialized environments such as LifePRO or comparable insurance administration systems when applicable.
About the Opportunity We’re hiring a hands-on Senior Salesforce Developer to take technical ownership of a heavily customized, integration-rich Salesforce environment. You’ll be the go-to developer for a key business area. You’ll own existing applications and active projects end to end, guide an offshore development team, and help shape how releases go to production. The team is putting real effort into AI-assisted and agentic development, so this is a good fit if you like to build quickly with modern tools. <br> What You’ll Do Own existing Salesforce applications and active project workstreams as the main hands-on developer and technical lead for your area Design and build custom solutions in Apex and Lightning Web Components (most of the work is custom code, not clicks) Build, maintain and troubleshoot integrations between Salesforce and external systems using REST/SOAP APIs and middleware Diagnose data flow and integration issues across systems, looking past Salesforce to the full end-to-end picture Guide and support offshore developers, including code reviews and enforcing development best practices Help coordinate and run bi-weekly production releases, which happen after hours every other Thursday Split your time roughly 80% new development and 20% production support, and respond to urgent issues as needed (there’s no formal on-call rotation) Take part in Agile delivery: daily standups, sprint planning and other sprint ceremonies Work with non-technical business partners to turn their needs into scalable technical solutions Write and maintain clear technical documentation for the solutions you build
<p>We are seeking a technically strong <strong>Product Engineer</strong> to support the development, quality, compliance, and ongoing improvement of our client’s diverse product portfolio. This Product Engineer will serve as a key technical resource across product development and will work closely with international manufacturing partners, internal product and quality teams, sales, and branch operations.</p><p>The ideal candidate brings hands-on knowledge of refrigeration and HVAC/R equipment, strong engineering judgment, and the ability to translate technical requirements into practical product solutions. Experience working with overseas manufacturers, particularly within a private-label or distribution environment, is highly valued.</p><p><br></p><p>How You Will Make an Impact:</p><ul><li>Manage the technical lifecycle of assigned products, establishing and maintaining engineering requirements, specifications, and performance standards from initial development through commercialization.</li><li>Support a broad product portfolio that includes ductless and inverter-based ducted systems, refrigerants, hoses, tools, components, and replacement parts.</li><li>Analyze engineering drawings, technical documentation, specifications, and manufacturer data to identify design, performance, and manufacturability considerations.</li><li>Collaborate with international factory partners to refine product designs, resolve technical concerns, and ensure products meet established requirements.</li><li>Work closely with the international office and manufacturing teams to create, update, and standardize product specifications and technical documentation.</li><li>Oversee engineering aspects of product compliance and certification for the North American market, including UL, ETL, AHRI, EPA 608, and DOE requirements.</li><li>Investigate product failures and technical issues through structured root-cause analysis and coordinate corrective and preventive actions with suppliers.</li><li>Contribute technical expertise to product planning by researching competing products, conducting teardown evaluations, and assessing new technologies and market developments.</li><li>Assist with new product introductions by coordinating third-party testing, certification activities, and technical approvals.</li><li>Prepare and maintain product documentation, including installation instructions, troubleshooting materials, technical notices, and product bulletins.</li><li>Track changes to HVAC/R industry standards and government regulations and communicate potential impacts to the product and compliance teams.</li><li>Work with Sales and Marketing to create technical product resources, competitive comparison materials, training content, and other tools that support the field organization.</li></ul>
We are looking for a Jira Developer (Backfill) to join a Long-term Contract opportunity in The Woodlands, Texas. In this role, you will strengthen and refine Jira as a core platform used by business and technology teams for planning, tracking, and execution. The ideal candidate brings practical experience building scalable Jira solutions, can work independently in an established environment, and is comfortable partnering with stakeholders to turn operational needs into effective system improvements.<br><br>Responsibilities:<br>• Build and refine Jira configurations to better support project delivery and day-to-day business operations.<br>• Create and maintain tailored workflows that improve how work is tracked, routed, and completed across teams.<br>• Manage issue schemes, custom fields, screen layouts, permissions, and project settings to align the platform with user needs.<br>• Develop automation rules that reduce manual effort, improve consistency, and increase process efficiency.<br>• Produce dashboards and reporting tools that give stakeholders clear visibility into project status, workload, and performance.<br>• Investigate platform issues, resolve configuration problems, and recommend practical enhancements based on usage patterns.<br>• Partner with business and technical teams to gather requirements and translate them into effective Jira and Confluence solutions.<br>• Support testing, rollout, and documentation of configuration updates, workflow changes, and system enhancements.
<p>Robert Half is seeking a Systems Engineer II for a client in the financial services industry. This role is ideal for an experienced Linux professional with strong expertise in Red Hat Enterprise Linux and working knowledge of Ubuntu and related distributions. The Systems Engineer II will design, implement, secure, and maintain enterprise Linux platforms across on-premises, virtual, and cloud environments supporting critical business services.</p><p>Key Responsibilities:</p><ul><li>Administer, patch, upgrade, and troubleshoot enterprise Linux servers, primarily Red Hat Enterprise Linux</li><li>Implement system hardening, security controls, and vulnerability remediation</li><li>Monitor performance, availability, and operational health across production environments</li><li>Support compliance initiatives aligned with SCAP, STIG, CIS benchmarks, and NIST controls</li><li>Automate provisioning, patching, and administration using tools such as Bash, Python, and Ansible</li><li>Provide advanced troubleshooting, root cause analysis, and support for backup, recovery, and disaster recovery efforts</li><li>Collaborate with infrastructure, cybersecurity, cloud, database, and application teams</li></ul><p><br></p>
<p>We are looking for a PLC Programmer/Automation Engineer to join a growing automation team in NW Tampa, FL area. This position focuses on developing and supporting process control solutions for bulk material handling, batching, weighing, mixing, and related industrial systems. The role is ideal for an engineer who enjoys combining PLC programming, HMI/SCADA development, and field commissioning to deliver reliable automation systems across complex manufacturing environments.</p><p><br></p><p>Responsibilities:</p><p>• Design, program, and test PLC-based control systems for industrial processing and bulk ingredient handling applications using Rockwell Automation platforms.</p><p>• Develop HMI and SCADA interfaces that give operators clear visibility into system performance, process status, and alarm conditions.</p><p>• Configure instrumentation and control devices, then support startup, tuning, and on-site commissioning to ensure systems perform as intended.</p><p>• Interpret process flow diagrams, P&IDs, and electrical schematics to translate engineering requirements into effective automation logic.</p><p>• Partner with project managers, electrical design teams, and startup personnel to coordinate implementation activities and resolve technical issues.</p><p>• Troubleshoot control hardware, industrial networks, drives, and connected field equipment to maintain reliable system operation.</p><p>• Assist with integrating third-party equipment and vendor systems into broader plant automation architectures.</p><p>• Travel to customer sites as needed to support validation, system checkout, operational readiness, and user training.</p>
<p>We are seeking a hands-on Microsoft 365 Engineer with a strong focus on Power Platform and SharePoint Online administration, configuration, and production support. This role will support and maintain a large-scale Microsoft environment, with responsibilities spanning Power Platform, SharePoint, and the broader Microsoft 365 ecosystem.</p><p>This is an engineer-level position with a strong operational and administrative focus. The ideal candidate will have experience managing platforms, supporting business users, troubleshooting technical issues, maintaining configurations, and ensuring the reliability of enterprise collaboration tools. While a solid understanding of Microsoft 365 is required, the primary focus will be on Power Platform and SharePoint administration rather than solution architecture or full-scale application development.</p><p>Key Responsibilities</p><ul><li>Provide day-to-day administration, configuration, and operational support for Microsoft Power Platform, including Power Apps, Power Automate, and Power Platform environments.</li><li>Administer and support SharePoint Online, including site administration, permissions, access management, configurations, and troubleshooting.</li><li>Manage Power Platform environments, security roles, governance settings, connectors, and user access.</li><li>Support Power Apps and Power Automate solutions, troubleshooting issues, managing connections, and assisting with operational maintenance.</li><li>Monitor platform performance, investigate incidents, and resolve production support issues across Power Platform and SharePoint.</li><li>Provide administration and support across Microsoft 365 services, including Teams, Exchange Online, Office applications, and Copilot.</li><li>Manage incoming support requests, troubleshoot technical issues, and work through ticketing systems to ensure timely resolution.</li><li>Navigate Microsoft 365 and Power Platform administrative portals to diagnose issues and make configuration changes.</li><li>Utilize PowerShell scripting to support administrative tasks, troubleshooting, and routine maintenance.</li><li>Assist with platform updates, ongoing maintenance, access reviews, and configuration management.</li><li>Document administrative procedures, troubleshooting steps, and issue resolutions.</li><li>Collaborate with engineering, infrastructure, and business teams to support platform stability and ongoing operational needs.</li></ul><p><br></p>
We are looking for a Design Manager to join a Financial Services organization on a Contract basis in Dallas, Texas. This role will guide the visual direction of key communications and marketing efforts while supporting a small internal design team. The ideal candidate brings strong creative judgment, hands-on execution across print and digital channels, and the ability to uphold a cohesive brand presence across a wide range of initiatives.<br><br>Responsibilities:<br>• Shape and oversee the visual approach for marketing, communications, and promotional initiatives across the organization.<br>• Direct, assign, and review work for two design team members, providing day-to-day leadership and constructive creative feedback.<br>• Produce high-quality design deliverables for digital campaigns, print materials, event assets, signage, and branded collateral.<br>• Ensure consistent application of brand standards across programs, events, internal initiatives, and external-facing materials.<br>• Develop fresh creative concepts from initial idea through final execution rather than only adapting existing templates.<br>• Coach internal team members on effective use of design tools, templates, and brand resources, including Canva-based assets.<br>• Partner with communications leadership and cross-functional stakeholders to translate goals into compelling visual solutions.<br>• Participate in meetings, events, and occasional travel as needed to support organizational projects and creative initiatives.
<p>We are seeking a talented UI/UX Designer to create intuitive, engaging, and user-centered digital experiences across web and mobile platforms. This individual will collaborate closely with product managers, developers, stakeholders, and end users to design solutions that improve usability, accessibility, and overall customer satisfaction.</p><p>Responsibilities</p><ul><li>Design user experiences for websites, web applications, and mobile products.</li><li>Conduct user research, interviews, surveys, and usability testing.</li><li>Create wireframes, user flows, prototypes, journey maps, and high-fidelity designs.</li><li>Develop and maintain design systems and component libraries.</li><li>Collaborate with development teams to ensure accurate implementation of designs.</li><li>Analyze user behavior and product metrics to identify areas for optimization.</li><li>Ensure designs meet accessibility standards and responsive design best practices.</li><li>Present concepts, recommendations, and design rationale to stakeholders.</li></ul><p><br></p>
<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>