<p><strong>Robert Half is seeking a Senior Software Engineer</strong> with strong expertise in backend development and an AI forward mindset to support a Financial Services client headquartered in Bellevue, WA. This position is a 6 month contract and is 100% Remote. Apply today!</p><p><br></p><p><strong>Duration:</strong> 6 month contract</p><p><strong>Schedule</strong>: PST Core Hours, flexible </p><p><strong>Location:</strong> 100% Remote </p><p><br></p><p><strong>Responsibilities: </strong></p><ul><li>Develop secure, scalable, and maintainable backend applications using <strong>Python</strong>.</li><li>Design, build, and maintain <strong>microservices, RESTful APIs, and cloud-native applications</strong>.</li><li>Develop reusable solutions, shared libraries, and engineering standards that improve team productivity.</li><li>Participate in code reviews and ensure adherence to development and quality standards.</li><li>Implement unit, integration, and performance testing to support production-ready solutions.</li><li>Configure and maintain <strong>CI/CD pipelines</strong> and development automation.</li><li>Troubleshoot production issues and perform root cause analysis.</li><li>Partner with Product Owners, Business Analysts, architects, and other stakeholders to translate business requirements into effective technical solutions.</li><li>Participate in and lead technical design discussions, architecture reviews, and engineering initiatives.</li><li>Apply best practices for <strong>scalability, security, performance, observability, disaster recovery, and capacity planning</strong>.</li><li>Communicate technical decisions and tradeoffs effectively to both technical and non-technical audiences.</li><li>Mentor and provide technical guidance to other engineers through pairing, coaching, and knowledge sharing.</li><li>Leverage <strong>AI-assisted development tools and integrated AI agents</strong> to improve developer velocity, code quality, automation, and engineering outcomes.</li><li>Evaluate emerging technologies and help introduce tools and practices that improve software delivery.</li></ul>
<p>We are looking for an experienced Cloud Engineer/Administrator to support and enhance enterprise infrastructure for a client. This opportunity is ideal for a senior-level candidate who can manage a well-established Nutanix environment while helping shape cloud modernization efforts within a Microsoft-focused organization. The role combines hands-on platform administration, operational support, and strategic involvement in Azure-based transformation initiatives.</p><p><br></p><p>Responsibilities:</p><p>• Administer and optimize a production Nutanix environment that supports essential business operations and high-availability infrastructure needs.</p><p>• Provide advanced support for complex infrastructure issues, serving as a senior escalation point for Tier 3 incidents across cloud and on-premises systems.</p><p>• Lead and support Azure administration activities, including planning and executing workload modernization and migration efforts where appropriate.</p><p>• Manage Microsoft 365 and identity services, including access control, authentication, and directory-related administration.</p><p>• Develop and maintain disaster recovery, backup, and resiliency practices to protect critical systems and data.</p><p>• Collaborate on enterprise infrastructure design, capacity planning, and performance improvements across hybrid environments.</p><p>• Support network and firewall coordination to ensure secure connectivity between platforms, users, and cloud services.</p><p>• Document system configurations, operational procedures, and technical recommendations to improve stability and support continuity.</p>
<p>We are looking for a detail-focused Engineer/Analyst to join a Long-term Contract assignment supporting technical data quality and material information management in northern Kentucky. In this role, you will help maintain accurate, standardized data for raw materials and packaging components so teams can move product development, supplier onboarding, and manufacturing activities forward efficiently. This position works closely with research, quality, procurement, operations, and master data partners to strengthen consistency across systems and improve the reliability of material records. This role will be onsite 4 days a week and 1 day remote. Must be comfortable working in a lab/plant manufacturing setting. YOU MUST LIVE IN KY or OH to be considered. No option for remote work.</p><p><br></p><p>Responsibilities:</p><p>• Manage the collection, review, and entry of technical specifications for raw materials and packaging components within designated data and specification platforms.</p><p>• Verify that material records are complete, accurate, and aligned with company standards, compliance expectations, and approved documentation.</p><p>• Apply consistent naming structures, formatting rules, and data standards to improve usability across regional and enterprise systems.</p><p>• Investigate missing, conflicting, or outdated information in material specifications and resolve issues through coordination with cross-functional stakeholders.</p><p>• Maintain material master records and ensure proper connections between specification data, system entries, and related documentation.</p><p>• Build, revise, and validate bills of materials to support production readiness, product updates, supplier changes, and ongoing improvement efforts.</p><p>• Partner with master data, procurement, operations, and technical teams to enhance data governance practices and streamline data management processes.</p><p>• Monitor assigned project activities and data deliverables to help keep timelines on track and support broader documentation standardization efforts.</p>
We are looking for a Data Engineer to support enterprise data movement and application integration efforts in Boston, Massachusetts. This Long-term Contract position will focus on building, maintaining, and enhancing custom services that transfer, load, and transform data across multiple systems. The role works closely with technical and business teams to deliver reliable integration solutions using .NET/C#, APIs, and modern deployment practices.<br><br>Responsibilities:<br>• Design, support, and improve custom integration services that move data between enterprise platforms and applications.<br>• Build and maintain ETL processes for data loading, transformation, and system-to-system exchange.<br>• Develop microservice-based solutions in .NET/C# to replace larger legacy integration components where needed.<br>• Create and support API-driven integrations, including services that rely on REST and SOAP protocols.<br>• Partner with business analysts, developers, and solution stakeholders to translate operational needs into technical data workflows.<br>• Monitor data pipelines and integration jobs, troubleshoot failures, and resolve performance or reliability issues.<br>• Contribute to deployment and release activities using Azure DevOps or comparable CI/CD tools.<br>• Support integrations involving key enterprise platforms such as Salesforce and higher education systems when applicable.
We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality.<br><br>Responsibilities:<br>• Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases.<br>• Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms.<br>• Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization.<br>• Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design.<br>• Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads.<br>• Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations.<br>• Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities.<br>• Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.
<p><strong>Data Engineer</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading food manufacturing and distribution organization is seeking a Data Engineer to support enterprise data initiatives and drive business intelligence capabilities. Based in Los Angeles, California, the company serves a large network of customers through innovative operations, quality-focused processes, and data-driven decision making. This is an opportunity to join a collaborative team where technology and analytics play a critical role in business growth and operational excellence.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines that support reporting, analytics, and business operations. This role will partner closely with analysts and cross-functional stakeholders to transform raw data into reliable, actionable insights. The ideal candidate brings experience in manufacturing or food production environments and possesses strong expertise in data warehousing, ETL development, cloud technologies, and reporting platforms.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and maintain scalable ETL and ELT data pipelines.</li><li>Build and optimize data workflows that consolidate information from multiple business systems.</li><li>Partner with business stakeholders and analysts to translate data requirements into technical solutions.</li><li>Develop and maintain data models and warehouse structures to support reporting and analytics.</li><li>Monitor, troubleshoot, and enhance data pipelines to ensure data accuracy, integrity, and availability.</li><li>Optimize data storage and retrieval processes for performance, scalability, and reliability.</li><li>Support business intelligence initiatives by delivering clean, trusted datasets for reporting and dashboards.</li><li>Create and maintain technical documentation for data architecture, processes, and workflows.</li><li>Collaborate with engineering, analytics, and business teams to drive data-driven decision making.</li><li>Stay current on emerging technologies and best practices in data engineering and analytics.</li></ul><p><strong>Additional Details</strong></p><ul><li>Work model: On-site for the first 90 days, transitioning to a hybrid schedule thereafter</li><li>Join a team of analytics professionals supporting enterprise reporting and data initiatives</li><li>Opportunity to have a direct impact on operational and business performance through data solutions</li></ul>
<p>We are looking for a Contract Data Engineer to support financial systems and data operations in San Francisco, California. This is a remote on-going contract. This role will work across Finance, Systems, and Engineering to improve data reliability, strengthen integrations, and enhance platforms that support billing, accounts payable, and quote-to-cash workflows. The ideal candidate brings deep technical expertise with NetSuite and Snowflake, along with strong coding skills to diagnose issues, streamline processes, and build scalable solutions in a complex systems environment.</p><p><br></p><p>Responsibilities:</p><p>• Build, monitor, and refine data pipelines that move financial and transactional information across internal platforms and enterprise systems.</p><p>• Investigate data issues, resolve integration failures, and improve the overall accuracy and consistency of business-critical datasets.</p><p>• Develop and maintain middleware solutions that connect NetSuite, Salesforce, Snowflake, and custom applications.</p><p>• Partner with Finance, Systems, and Engineering stakeholders to deliver technical enhancements that support accounting operations and downstream reporting.</p><p>• Implement improvements within NetSuite and related financial systems to better support billing, accounts payable, and quote-to-cash processes.</p><p>• Troubleshoot code and system behaviors using SQL, Python, and related tools to identify root causes and restore reliable performance.</p><p>• Support integration workflows between Salesforce and NetSuite, ensuring stable data exchange and operational continuity.</p><p>• Evaluate and contribute to automation initiatives, including AI-enabled workflow opportunities that can reduce manual effort and improve efficiency.</p>
We are looking for an experienced Data Engineer to join our team in the Metro Atlanta area. This role will focus on designing, developing, and optimizing data pipelines within a modern Azure cloud environment. The ideal candidate will have strong hands-on experience with Azure and Databricks, excellent problem-solving abilities, and the ability to work closely with Data Scientists and business stakeholders to deliver reliable, scalable data solutions. <br> Responsibilities: • Design, develop, maintain, and optimize scalable data pipelines and ETL/ELT processes. • Troubleshoot data pipelines that are missing SLAs by identifying bottlenecks and implementing solutions to improve performance and processing efficiency. • Work with large volumes of structured and unstructured data while maintaining strong data quality and reliability. • Develop and optimize data solutions using Python, SQL, PySpark, Azure, and Databricks. • Build and manage Databricks pipelines and workflows within a production environment. • Rework and improve existing data structures to support analytics, forecasting, and machine learning initiatives. • Partner closely with Data Scientists to develop and maintain data pipelines supporting predictive modeling and machine learning projects. • Analyze existing data environments and proactively identify opportunities to improve performance, reliability, and data quality. • Collaborate with technical teams and business stakeholders to understand requirements and translate complex data concepts into practical solutions. • Communicate effectively with customers and stakeholders, including those without a technical background. • Work independently in a fast-paced environment while adapting to changing priorities and project requirements. • Apply strong critical thinking and analytical skills to solve complex data engineering challenges. • Support data governance and data management best practices across the organization. • Utilize DevOps practices and tools, including Azure DevOps, to support efficient development and deployment processes. • Contribute to the development of modern data and analytics capabilities that support business intelligence, forecasting, and AI initiatives.
We are looking for a Data Engineer to support scalable data solutions for a Long-term Contract position based in Cincinnati, Ohio. This role focuses on building reliable data pipelines, optimizing data movement across platforms, and enabling efficient access to high-quality datasets for business and technical teams. The ideal candidate brings strong hands-on experience with modern big data tools and a practical approach to designing robust ETL workflows.<br><br>Responsibilities:<br>• Design and maintain end-to-end data pipelines that process large and complex datasets with a focus on performance and reliability.<br>• Develop ETL workflows using Python and Spark to transform raw data into structured, usable formats for downstream consumption.<br>• Work with Hadoop-based environments to manage distributed data processing and storage activities at scale.<br>• Integrate streaming and messaging components such as Kafka to support near real-time data ingestion and event-driven processing.<br>• Monitor pipeline health, troubleshoot data issues, and implement improvements that strengthen stability and data quality.<br>• Collaborate with analysts, developers, and other stakeholders to understand data needs and translate them into technical solutions.<br>• Improve existing data architecture by refining workflows, reducing processing bottlenecks, and increasing operational efficiency.
We are looking for a Data Engineer to join a contract opportunity with permanent potential, supporting data-intensive work in Madison, Wisconsin. This role focuses on building and optimizing modern data solutions that enable scientific and business teams to access reliable, scalable information. The ideal candidate brings deep experience with cloud-based engineering, strong Databricks expertise, and the ability to work across technical and research-focused stakeholders.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines that ingest, transform, and deliver complex datasets for analytics and reporting.<br>• Develop and optimize Databricks solutions using Python, Spark, PySpark, and Delta Lake to support high-performance data processing.<br>• Create and enhance cloud-based data architecture in Azure, ensuring reliability, maintainability, and efficient data access.<br>• Partner with cross-functional teams in IT, science, and business to translate research and operational needs into effective data engineering solutions.<br>• Implement data models and warehousing structures that improve reporting accuracy, usability, and long-term scalability.<br>• Manage integration of biological, genomic, or other life sciences data sources while preserving data quality and consistency.<br>• Write and refine database objects such as queries, stored procedures, and functions to support downstream applications and analysis.<br>• Contribute to Agile delivery practices by participating in planning, prioritization, and iterative solution development.
We are looking for a Data Engineer to support scalable data solutions for a long-term contract opportunity in The Woodlands, Texas. This role focuses on designing and optimizing data pipelines, integrating large-scale data sources, and enabling reliable access to critical business information. The ideal candidate will bring strong hands-on experience with modern big data technologies and a practical approach to building efficient ETL workflows.<br><br>Responsibilities:<br>• Build, maintain, and enhance robust data pipelines to process large volumes of structured and unstructured information.<br>• Develop ETL workflows that transform raw data into reliable datasets for analytics, reporting, and operational use.<br>• Use Python and Apache Spark to engineer high-performance data processing solutions across distributed environments.<br>• Work with Apache Hadoop ecosystems to manage storage and support scalable data operations.<br>• Integrate streaming and event-driven data using Apache Kafka to improve data availability and timeliness.<br>• Monitor data workflows, troubleshoot processing issues, and implement improvements that increase reliability and efficiency.<br>• Collaborate with technical and business stakeholders to understand data needs and translate them into practical engineering solutions.<br>• Document pipeline architecture, data flow logic, and operational procedures to support maintainability and team knowledge sharing.
We are looking for a Data Engineer to support client initiatives in Pittsburgh, Pennsylvania by building dependable data solutions that enable reporting, analytics, and operational insight. This Long-term Contract position is ideal for someone who is detail oriented and enjoys working across data engineering and business intelligence functions in modern analytics environments. The role focuses on creating scalable data flows, strengthening data accessibility, and partnering with stakeholders to turn business needs into practical technical outcomes.<br><br>Responsibilities:<br>• Create and maintain robust data pipelines that move and transform information across multiple systems and platforms.<br>• Develop efficient database objects, optimize query performance, and structure data models to support analytics and reporting needs.<br>• Connect and consolidate data from business applications, databases, APIs, and cloud-based environments.<br>• Produce dashboards and reporting tools using Power BI or comparable visualization technologies for business users.<br>• Help manage and enhance data warehouse, data lake, and cloud data platform ecosystems.<br>• Improve the consistency, performance, and usability of data assets through monitoring and quality-focused practices.<br>• Collaborate with technical teams and business partners to define reporting requirements and deliver scalable data solutions.<br>• Investigate and resolve issues affecting data integrations, processing workflows, and reporting outputs.
<p>We are looking for a Data Engineer to join an opportunity in Atlanta, Georgia. In this role, you will design and support reliable data solutions that enable efficient reporting, analytics, and downstream business insights across cloud-based platforms. The ideal candidate brings strong engineering fundamentals, enjoys working with diverse data sets, and can help shape scalable architecture in a collaborative enterprise environment.</p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain robust data pipelines that move and transform information from a variety of internal and external sources.</p><p>• Develop efficient integration processes to unify structured and unstructured data for analytics, reporting, and operational use cases.</p><p>• Improve the speed, reliability, and scalability of existing data workflows through tuning, monitoring, and process optimization.</p><p>• Create and refine data models that support business intelligence, advanced analytics, and decision-making needs.</p><p>• Administer and enhance cloud-based data environments across modern platforms, ensuring stability, security, and performance.</p><p>• Partner closely with analytics and business teams to understand data needs and deliver accessible, high-quality datasets.</p><p>• Implement ETL solutions using Python, Spark, and cloud-native services to support enterprise data operations.</p><p>• Contribute to best practices for data engineering, documentation, and cross-functional collaboration within a consultative delivery model</p>
We are looking for a Data Engineer to join a mission-driven team, where you will design and support the data foundation behind clinical reporting, advanced analytics, and predictive healthcare solutions. This contract position offers the opportunity to build dependable, scalable data workflows that deliver information from healthcare platforms and other source systems to clinicians and business teams. The role is highly hands-on and centers on transforming complex healthcare data into trusted, well-structured assets that support operational and clinical decision-making.<br><br>Responsibilities:<br>• Design, develop, and maintain robust data pipelines that move information from healthcare platforms and related source systems into analytics and reporting environments.<br>• Prepare, standardize, and validate data from claims, clinical records, and social determinants of health sources to ensure accuracy and usability.<br>• Apply sound data modeling practices to organize information for warehousing, business intelligence, and advanced analytical use cases.<br>• Build scalable processing solutions using tools such as Python, Apache Spark, Hadoop, and Kafka to support high-volume data operations.<br>• Partner with analytics, clinical, and business stakeholders to deliver reliable datasets that power descriptive, predictive, and prescriptive insights.<br>• Monitor pipeline performance, troubleshoot data issues, and improve the reliability and efficiency of end-to-end ETL processes.<br>• Support the full lifecycle of data initiatives, from source integration and transformation through delivery for reporting and analytical applications.
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>We are seeking a hands-on Data Engineer to support the final phase of an ERP implementation. This role will focus on data integration, ETL development, migration support, reconciliation, and post-go-live stabilization. The ideal candidate has experience with ERP systems, financial data, and large-scale data migrations.</p><p><br></p><p>Key Responsibilities</p><ul><li>Build and test the reverse integration between <strong>Yardi and Abila MIP</strong>, ensuring Yardi transactions successfully post back to MIP as the system of record.</li><li>Develop and support financial data extracts, mappings, reconciliation processes, and exception handling.</li><li>Execute <strong>Trial Balance (TB)</strong> and <strong>Job Cost Adjustment (JCA)</strong> data loads and perform reconciliation to source systems.</li><li>Support budget and forecast ETL processes as requirements are finalized.</li><li>Resolve data migration and integration issues identified during UAT.</li><li>Assist with data validation efforts for Finance, Accounting, and HR teams prior to go-live.</li><li>Perform recurring MIP data refreshes through cutover.</li><li>Provide post-go-live hypercare support and issue resolution.</li></ul>
<p>We are looking for an experienced Data Engineer for a full time 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.</p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and maintain robust data pipelines that collect, transform, and deliver high-quality data for reporting and analysis.</p><p>• Create and optimize data models that support business intelligence, analytics, and operational use cases across the organization.</p><p>• Build and manage ETL workflows using Python and related technologies to ensure efficient movement of data between systems.</p><p>• Work with large-scale data processing tools such as Apache Spark and Hadoop to handle complex and high-volume datasets.</p><p>• Integrate streaming and batch data sources using technologies such as Apache Kafka to support timely and reliable data availability.</p><p>• Collaborate with analysts, engineers, and business stakeholders to translate data needs into scalable engineering solutions.</p><p>• Improve data warehouse performance, structure, and reliability to support accurate and accessible enterprise data.</p><p>• Use dbt and other modern data transformation practices to organize, test, and document datasets effectively.</p>
<p>We're looking for a Cloud Systems Engineer to design, implement, and support cloud infrastructure within Microsoft Azure. The ideal candidate will have strong experience with cloud architecture, automation, and infrastructure management.</p><p>Responsibilities</p><ul><li>Deploy and maintain Azure infrastructure</li><li>Implement Infrastructure as Code (IaC) solutions</li><li>Manage virtual networks, storage, and security policies</li><li>Support cloud migrations and modernization initiatives</li><li>Monitor and optimize cloud performance and costs</li><li>Collaborate with development and security teams</li></ul><p><br></p>
We are looking for a Software Engineer - Data Science to join a growing organization in Naperville, Illinois and help strengthen the platform capabilities that support machine learning and data science initiatives. This Long-term Contract position will partner closely with infrastructure, development, and data-focused teams to build reliable engineering foundations, streamline delivery practices, and improve day-to-day productivity. The ideal candidate brings a strong software engineering background along with experience in cloud environments, automation, and modern deployment workflows.<br><br>Responsibilities:<br>• Design and enhance platform solutions that enable data scientists and machine learning engineers to develop, test, and deploy their work efficiently<br>• Build, maintain, and optimize CI/CD workflows to support dependable releases and consistent engineering standards<br>• Develop automation for infrastructure provisioning and configuration management using infrastructure-as-code approaches<br>• Manage and improve cloud-based resources and services to ensure scalable, secure, and resilient platform operations<br>• Collaborate with engineering and data teams to remove workflow bottlenecks and strengthen the overall developer experience<br>• Support software delivery best practices across the full development lifecycle, from code integration through production deployment<br>• Contribute to application and platform development efforts using technologies such as C#, .NET, ASP.NET, JavaScript, and React.js<br>• Integrate and support data platform components, including Snowflake, within broader engineering solutions
<p>We are looking for a Network Deployment Engineer to support a contract assignment in Great Bend, KS & McCook, NE. This Contract position focuses on replacing legacy network hardware with standardized infrastructure at field locations, requiring strong hands-on installation skills and the ability to work independently in telecom spaces. The ideal candidate brings practical experience with routers, firewalls, switches, and structured cabling, along with the troubleshooting ability needed to keep site activations on track.</p><p><br></p><p>This is a 2 to 3 day project. If successfully completed, this would lead to a nationwide initiative to update all MDF sites. </p><p><br></p><p>Responsibilities:</p><p>• Remove outdated network equipment from racks and shelves and install replacement hardware that aligns with current infrastructure standards.</p><p>• Mount and connect routers, firewalls, and related network components using proper installation and cabling practices.</p><p>• Provide direct console connectivity to network devices during activation windows and support remote technical teams through screen sharing in Microsoft Teams.</p><p>• Reconnect copper and fiber patching between devices to restore site connectivity and maintain clean, organized cable routing.</p><p>• Perform on-site troubleshooting during cutovers to identify and resolve hardware, connectivity, or configuration issues efficiently.</p><p>• Validate network-related services after deployment by checking wireless access, printing functionality, and phone connectivity.</p><p>• Work independently at remote sites, manage installation tasks from start to finish, and communicate progress through timely status updates.</p><p>• Use standard field tools, laptop-based terminal access, and connectivity equipment to complete deployment activities safely and effectively.</p>
<p>We are seeking a <strong>Cloud Infrastructure & Network Administrator</strong> to support and optimize a hybrid Azure, AWS, and on-premises environment. This role is focused on cloud administration, networking, and infrastructure operations, with an emphasis on Azure networking technologies such as Azure Virtual WAN. A dedicated Information Security team handles security governance, so only a solid understanding of security fundamentals is required.</p><p><br></p><p>Key Responsibilities</p><ul><li>Administer and support Azure and AWS cloud environments.</li><li>Design, configure, and troubleshoot cloud networking, including Azure Virtual WAN, VNets, VPCs, VPNs, routing, firewalls, and load balancers.</li><li>Manage hybrid infrastructure across cloud and on-premises environments.</li><li>Support Cisco network infrastructure, including switching, routing, and connectivity.</li><li>Administer Microsoft Entra ID (Azure AD), AWS IAM, Windows Server, Microsoft 365, and VMware environments.</li><li>Monitor system performance, availability, and capacity while resolving infrastructure issues.</li><li>Support backup, disaster recovery, and business continuity initiatives.</li><li>Provide Tier 2/Tier 3 support for complex cloud, network, and infrastructure issues.</li><li>Collaborate with security and application teams on cloud modernization and infrastructure projects.</li></ul><p><br></p>
We are looking for a Software Developer to join a team building modern, event-driven applications in Florida. This contract opportunity with potential for a permanent role is ideal for someone who enjoys creating scalable full-stack solutions, working with real-time data streams, and contributing to both new development and ongoing product improvements. The role offers the chance to deliver independent project work early on while partnering closely with engineering peers to strengthen existing platforms and integrations.<br><br>Responsibilities:<br>• Design and deliver new application capabilities, including full-stack features and fast-turn prototypes that support evolving business needs.<br>• Take ownership of an initial standalone assignment, then contribute to refining and supporting established software platforms over time.<br>• Create and maintain integrations with access control technologies such as badge readers and identity or entry management systems.<br>• Develop backend services that send events through messaging and queue-based architectures to enable downstream processing workflows.<br>• Build software that processes large volumes of real-time streaming information with a focus on reliability and performance.<br>• Enhance existing products by implementing updates, resolving issues, and improving maintainability across the codebase.<br>• Partner with engineers and other stakeholders to review technical approaches, coordinate delivery, and keep project records current in collaboration tools such as Azure DevOps and SharePoint.
We are looking for a Software Developer to support enterprise integration solutions for a legal organization based in New York, New York. This role focuses on building, maintaining, and improving reliable system connections that enable accurate data exchange across business applications. The ideal candidate brings strong technical depth in integration development, production support, and application deployment, along with the ability to turn operational needs into practical technical outcomes.<br><br>Responsibilities:<br>• Design, build, and enhance enterprise integrations using Integration Builder to support critical business processes.<br>• Develop and maintain secure connections between systems by working with APIs, webhooks, and modern authentication methods such as OAuth2 and token-based access.<br>• Create and validate data mappings, transformation logic, and schema alignment to ensure consistent and accurate information flow across platforms.<br>• Write and optimize SQL queries for reconciliation, issue investigation, and data validation while supporting overall integration performance.<br>• Monitor production interfaces, resolve incidents within service expectations, and perform root cause analysis to prevent recurring issues.<br>• Implement reliable integration processes by incorporating scheduling, incremental data movement, change tracking, and exception management.<br>• Configure, test, document, and deploy new applications and technical solutions while supporting user readiness and operational adoption.<br>• Partner with stakeholders to interpret business needs and translate them into scalable, supportable technical designs.
We are looking for a Software Developer to support the creation and ongoing improvement of web-based solutions in St. Augustine, Florida. This Long-term Contract opportunity is well suited for someone who enjoys developing reliable applications, strengthening existing platforms, and applying modern AI-enabled tools to improve delivery and code quality. The role offers close collaboration with technical and business partners to deliver practical, scalable solutions.<br><br>Responsibilities:<br>• Create, enhance, and support web applications using PHP, JavaScript, and the Laravel framework<br>• Develop and connect RESTful services that exchange data with internal platforms and external vendor systems<br>• Design and maintain MySQL database structures while improving query efficiency and overall system performance<br>• Refine existing code to increase application stability, readability, scalability, and long-term maintainability<br>• Partner with cross-functional stakeholders to translate business needs into effective technical solutions<br>• Investigate software defects, troubleshoot production issues, and implement timely resolutions<br>• Participate in peer reviews and contribute to consistent development standards and engineering best practices<br>• Use AI-assisted development tools to accelerate coding, strengthen documentation, and improve overall output quality