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 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 help maintain and improve a mission-driven technology environment that supports essential nonprofit operations in Battle Creek, Michigan. This position blends application support, database engineering, and systems integration work, making it ideal for someone who enjoys solving technical problems across multiple platforms. The role works closely with internal teams and external partners to keep business systems reliable, data accurate, and reporting processes running smoothly.<br><br>Responsibilities:<br>• Maintain and resolve issues across core business applications, including Dynamics 365 Business Central, Microsoft 365, SharePoint, Power BI, procurement tools, workforce systems, and other connected platforms.<br>• Administer Microsoft SQL Server environments by monitoring system health, tuning performance, managing security access, and overseeing backup, recovery, upgrade, and capacity planning activities.<br>• Build, refine, and troubleshoot SQL queries to support operational needs while identifying and correcting data consistency, accuracy, and reconciliation problems between systems.<br>• Develop and support integrations, APIs, ETL processes, Azure Data Factory workflows, scheduled data exchanges, and SFTP-based transfers to ensure dependable movement of information across platforms.<br>• Investigate reporting and data warehouse issues by resolving failed loads, refresh interruptions, and mismatches between source systems and business intelligence outputs.<br>• Contribute to software rollouts and system enhancements through testing, data conversion support, deployment activities, post-launch issue resolution, and production stabilization efforts.<br>• Partner with software vendors and external service providers to diagnose complex technical challenges and drive incidents through to completion.<br>• Create and maintain clear technical documentation for applications, databases, integrations, and data flows while sharing knowledge with teammates to strengthen team coverage.<br>• Support both strategic engineering work and day-to-day technical tasks within a collaborative IT team, adapting to changing priorities as needed.
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.
We are looking for a Data Engineer to help shape and expand a cloud-focused data environment that supports analytics, operational reporting, automation, and emerging AI use cases. Based in Brookfield, Wisconsin, this position works across technical and business teams to deliver dependable data solutions that improve access, accuracy, and usability. The role is ideal for someone who thrives on translating complex data needs into scalable engineering outcomes and values collaboration, problem-solving, and continuous improvement.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines that move and transform information for analytics, reporting, and operational needs.<br>• Partner with business stakeholders, analysts, software developers, and leaders to understand data requirements and turn them into reliable engineering solutions.<br>• Develop and refine data models and platform architecture to support performance, flexibility, and long-term growth.<br>• Implement ETL processes that integrate data from multiple sources while improving consistency, completeness, and accessibility.<br>• Use Python and distributed data technologies such as Apache Spark and Hadoop to process large and complex datasets efficiently.<br>• Support streaming and event-driven data workflows using tools such as Apache Kafka where real-time data delivery is needed.<br>• Monitor data quality, troubleshoot pipeline issues, and optimize workflows to ensure dependable delivery and strong system performance.<br>• Contribute to ongoing enhancements of the data platform by identifying opportunities to improve scalability, automation, and engineering standards.
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 a Data Engineer to join a Financial Services team in Plano, Texas on a contract basis with the potential for a permanent role. This role is focused on designing and delivering reliable data pipelines in a cloud-first environment, with Snowflake serving as a central platform for analytics and data consumption. The position offers a balanced mix of new development and targeted optimization, with an emphasis on improving data quality, operational visibility, and scalable processing capabilities.<br><br>Responsibilities:<br>• Design, build, and deploy end-to-end data pipelines with Snowflake as a primary data platform.<br>• Create new ingestion and transformation workflows while resolving issues affecting existing pipeline performance and reliability.<br>• Support streaming data integration using Apache Kafka to enable timely and scalable data movement.<br>• Strengthen observability across data workflows by improving monitoring, alerting, and pipeline transparency.<br>• Enhance data quality practices through validation, testing, and proactive issue identification.<br>• Modernize data architecture by reducing dependency on legacy processes and addressing technical debt.<br>• Contribute to engineering standards by applying disciplined development practices, code quality measures, and repeatable delivery methods.<br>• Help expand CI/CD and testing capabilities by promoting more consistent automation across build and release activities.<br>• Use AI-assisted development tools to accelerate coding, testing, and documentation where appropriate.
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.
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 Engineer to turn complex healthcare, financial, and operational data into meaningful insights that guide leadership decisions. This position supports organizational performance by connecting information from clinical and business systems, building practical reporting tools, and highlighting trends that matter. Based in Milwaukee, Wisconsin, the role works closely with finance, operations, and clinical stakeholders to improve visibility, planning, and overall effectiveness. <strong><em>Local candidates to the Greater Milwaukee area with Healthcare Epic experience is desired. </em></strong></p><p><br></p><p>Responsibilities:</p><p>• Create and maintain dashboards, scorecards, and recurring reports that combine Epic data with financial and operational information from connected platforms.</p><p>• Work with leaders across finance, operations, and clinical teams to define measurable indicators and track performance in patient services, revenue activity, and resource use.</p><p>• Gather, clean, and evaluate large datasets to support forecasting, monthly business reviews, and long-range planning initiatives.</p><p>• Present findings in a clear, business-focused format so non-technical stakeholders can understand trends, risks, and opportunities.</p><p>• Collaborate with IT and data governance partners to uphold data accuracy, reporting consistency, and compliance with organizational standards.</p><p>• Identify patterns in clinical and administrative workflows and recommend improvements that increase efficiency and support better decision-making.</p><p>• Contribute to reporting automation and process enhancements that improve speed, reliability, and access to timely performance data.</p>
<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>We are looking for a Data Platform Engineer to join a 4-month contract opportunity based in Norman, Oklahoma. This role owns the storage, retention and pipeline-correctness workstream. This is data engineering, not cloud </p><p>infrastructure.</p><p><br></p><p>What they will actually do</p><p>▪ Own the storage and pipeline backlog across the ingestion and processing repositories</p><p>▪ Event ordering and bitemporal modelling: separating event time from ingestion time, deterministic replay</p><p>▪ Atomic snapshot publication with schema admission and rollback</p><p>▪ Design the historical layer on object storage so it can be queried economically and answer as-of </p><p>questions correctly — file format, partitioning, compaction, and whether the canonical layer moves </p><p>onto a managed table format</p><p>▪ Reconcile the operational database and the historical store so a point-in-time question returns one </p><p>answer rather than two</p><p>▪ Evidence immutability and retention: object-lock semantics, preventing overwrite of stored evidence, </p><p>validated recovery paths</p><p>▪ Pipeline durability: idempotent runs, completeness receipts, restore testing</p><p>▪ Support production cutover in month 4 — this seat does not roll off early</p>
We are looking for a Data Engineer to create and enhance scalable data solutions that strengthen business intelligence capabilities across the organization. This role partners with technology leaders, software teams, delivery stakeholders, and external partners to turn business needs into reliable technical outcomes. The position is well suited to someone who thrives in an agile setting, works confidently with minimal supervision, and collaborates effectively across teams. This opportunity is based in Nashville, Tennessee.<br><br>Responsibilities:<br>• Build and refine scalable data pipelines and platform components that support reporting, analytics, and enterprise intelligence initiatives.<br>• Assess modern cloud and big data technologies, gain working knowledge of new tools quickly, and recommend practical options based on business needs.<br>• Translate technical and business requirements into clearly defined tasks, implementation plans, and measurable deliverables.<br>• Write maintainable, efficient, and high-quality code that supports stable and dependable data solutions.<br>• Review existing processes and code for gaps or performance issues, then propose and implement improvements.<br>• Adjust priorities effectively in response to evolving project demands, timelines, and stakeholder expectations.<br>• Take ownership of delivered solutions by documenting design decisions and explaining functionality to team members and partners.<br>• Contribute to additional data engineering efforts that advance organizational goals and strengthen outcomes for end users.
We are looking for a Data Engineer to join our Data & Analytics team in Houston, Texas, and help strengthen the reporting foundation that supports decisions across the business. In this role, you will shape data into reliable, business-ready models, develop scalable reporting structures, and work closely with teams such as Finance and Operations to turn complex rules into clear insights. This position blends technical data engineering with analytics-focused development, offering the opportunity to improve reporting quality, maintain dependable data flows, and contribute to ongoing enhancements in our analytics environment.<br><br>Responsibilities:<br>• Develop and maintain structured data models, including staging layers, reporting tables, and dimensional designs within the Azure-based data warehouse environment.<br>• Create and support Power BI semantic models, calculated measures, security configurations, dashboards, and reports used for operational and enterprise reporting.<br>• Monitor scheduled data workflows and dataset refresh activity, investigate processing issues, and resolve failures to keep reporting available and accurate.<br>• Adjust and enhance existing ETL and orchestration processes as business needs evolve, using tools such as Azure Data Factory and related Microsoft data platforms.<br>• Collaborate with stakeholders across functions to translate reporting needs, financial logic, and operational rules into dependable analytical solutions.<br>• Produce clear technical and business documentation covering model design, metric definitions, transformation logic, and data ownership.<br>• Apply and help refine development standards for naming, modeling approach, query design, and reporting structure to improve consistency and quality.<br>• Identify opportunities to streamline current data practices, improve performance, and introduce effective tools or methods that strengthen analytics capabilities.
<p>Robert Half is seeking an experienced <strong>Senior Data Engineer</strong> to support a <strong>law firm based in Seattle, Washington</strong> with the continued development and modernization of its enterprise data environment. This role will focus heavily on <strong>Databricks, dimensional modeling, PySpark, and Unity Catalog</strong>, with responsibility for ingesting, transforming, and preparing data from multiple enterprise systems for reporting and analytics.</p><p> </p><p><strong>Duration:</strong> 6-month contract</p><p><strong>Location:</strong> 100% Remote – preferred to work PST or CST</p><p><strong>Pay rate: </strong>$65-$75/hour (W2)</p><p> </p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and maintain scalable data pipelines and data models within <strong>Databricks</strong>.</li><li>Build and optimize <strong>dimensional data models</strong> to support enterprise reporting and analytics.</li><li>Develop data transformation and processing workflows using <strong>PySpark</strong>.</li><li>Ingest data from enterprise source systems, including <strong>Workday, Elite/Elite 3E, and Salesforce</strong>.</li><li>Move data through the <strong>Medallion Architecture</strong>, including Bronze, Silver, and Gold layers.</li><li>Clean, normalize, transform, and prepare source data for downstream analytics and reporting.</li><li>Utilize <strong>Unity Catalog</strong> to support data governance, security, organization, and access management.</li><li>Prepare curated datasets for consumption and reporting within <strong>Power BI</strong>.</li><li>Partner with business and technical stakeholders to understand reporting needs and demonstrate data within Power BI.</li><li>Troubleshoot data connectivity and integration issues involving <strong>APIs, Postman, firewall rules, and certificates</strong>.</li><li>Ensure data pipelines and models are scalable, reliable, and aligned with data engineering best practices.</li></ul><p><br></p>
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 a Database Technology Product Manager to lead the strategy, development, and launch of advanced data-driven products within a hospitality environment in California. This contract-to-permanent opportunity is ideal for an experienced product leader who can connect executive priorities with technical execution, while shaping new capabilities that turn complex customer data into meaningful business insight. The right candidate will bring a strong command of machine learning, data science, and hospitality consumer behavior, along with the presence and judgment to communicate effectively at the board level.<br><br>Responsibilities:<br>• Lead the full product lifecycle for database and data science initiatives, from early concept development through deployment, measurement, and ongoing enhancement.<br>• Act as the central point of coordination between executive leadership, business stakeholders, and engineering teams to keep priorities aligned and delivery on track.<br>• Establish and grow a technical product management function focused on research and development initiatives within the organization.<br>• Define product strategy, investment priorities, and roadmap decisions for proprietary data products that support customer insight and business growth.<br>• Develop a data science inference capability that converts large and complex datasets into recommendations, decision support, and behavioral signals across hospitality experiences.<br>• Deliver clear updates to senior executives and board-level audiences, clearly outlining progress, risks, outcomes, and future plans.<br>• Guide prioritization and governance discussions by evaluating trade-offs, setting benchmarks, and supporting funding-related decision processes.<br>• Partner with technical teams to translate machine learning, data modeling, and analytics concepts into practical product direction and measurable value.<br>• Help bring specialized products to market responsibly while serving as a strategic interface between developers and customer-facing partners.
We are looking for a Network Administrator to join a collaborative IT team in Somerville, Massachusetts, supporting a growing organization in the waste and environmental services industry. This Contract position focuses on maintaining and improving enterprise network operations across multiple sites while contributing to infrastructure expansion and technology consistency. The role offers the opportunity to work hands-on with core networking systems, cloud-connected environments, and site-based IT initiatives in a fully onsite setting.<br><br>Responsibilities:<br>• Manage day-to-day operation of enterprise networking systems, including firewalls, VPN connections, routers, switches, and wireless environments.<br>• Diagnose and resolve network performance, access, and security-related issues to maintain stable business operations.<br>• Contribute to the IT integration of newly acquired locations by deploying standardized infrastructure and equipment.<br>• Coordinate and execute network refreshes, office technology rollouts, and infrastructure improvement projects across multiple sites.<br>• Provide administrative support for VMware, Microsoft 365, and other cloud-enabled platforms connected to the network environment.<br>• Act as a higher-level technical resource for Help Desk staff and provide guidance to less experienced team members.<br>• Track network health, maintain accurate technical documentation, and recommend enhancements that strengthen uptime and protection.<br>• Partner with IT leadership to support broader technology initiatives and identify opportunities to improve operational efficiency.
<p>We are looking for a<strong> Network Administrator </strong>to support and maintain enterprise network operations for a <strong>part-time contract position that is onsite in Austin, Texas.</strong> This role focuses on keeping network infrastructure secure, reliable, and efficient while working with core Cisco environments and directory services. The ideal candidate brings hands-on experience with firewall administration, routing, and local area network support, along with the ability to resolve technical issues in a fast-paced setting.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>• Oversee day-to-day performance and availability of network systems to ensure dependable connectivity across the organization.</p><p>• Configure, manage, and troubleshoot Cisco routers and related networking equipment to support stable operations.</p><p>• Administer firewall technologies by applying security policies, reviewing access controls, and responding to network threats.</p><p>• Maintain and support LAN environments, including monitoring traffic, identifying bottlenecks, and improving overall performance.</p><p>• Assist with Active Directory-related network access and authentication needs in coordination with internal IT teams.</p><p>• Investigate connectivity issues, perform root cause analysis, and implement timely resolutions to minimize downtime.</p><p>• Document network configurations, support procedures, and infrastructure changes to maintain accurate technical records.</p>
We are looking for an experienced Network Administrator to support and enhance client infrastructure in Manchester, New Hampshire. This contract position with the potential to become permanent is ideal for a hands-on, detail-oriented individual who excels in network security, systems administration, and client-facing technical collaboration. The role focuses on maintaining reliable connectivity, securing business environments, and delivering practical infrastructure improvements across multi-site organizations.<br><br>Responsibilities:<br>• Oversee the administration, tuning, and ongoing support of firewall environments using leading platforms such as Fortinet, SonicWall, Cisco Meraki, Palo Alto, and WatchGuard.<br>• Build, maintain, and optimize network infrastructure, including switching, VLAN segmentation, routing, and wireless connectivity for client environments.<br>• Configure secure site-to-site and remote access VPN solutions to ensure dependable connectivity for distributed users and locations.<br>• Track network health and security posture, respond to performance concerns, and address risks before they affect business operations.<br>• Conduct firewall policy assessments, manage rule sets, and participate in security reviews to strengthen protection and compliance.<br>• Contribute to infrastructure planning for new deployments, expansions, and technology refresh initiatives across client sites.<br>• Diagnose and resolve advanced network and connectivity problems spanning multiple offices and mixed environments.<br>• Administer Windows Server platforms and core services such as Active Directory, Group Policy, file services, and print services.<br>• Support Microsoft 365 and Azure AD environments, including collaboration, device management, and cloud-based user administration.<br>• Partner with clients and internal sales stakeholders during discovery discussions, assessments, solution planning, and technical presentations.
We are looking for a Network Administrator to help ensure the reliability, security, and performance of our technology environment in Savannah, Georgia. This role supports day-to-day network operations, resolves advanced technical issues, and keeps critical infrastructure running efficiently. The ideal candidate brings strong troubleshooting ability, practical experience with enterprise networking equipment, and a proactive approach to maintaining secure and stable systems.<br><br>Responsibilities:<br>• Resolve advanced network incidents that are escalated beyond the initial support level, identifying root causes and restoring service in a timely manner.<br>• Deploy, configure, maintain, and improve core networking equipment, including routers, switches, firewalls, and wireless devices.<br>• Track network health and usage patterns through monitoring and diagnostic tools to identify issues, trends, and opportunities for improvement.<br>• Carry out software, firmware, and configuration updates to maintain system performance, reliability, and security.<br>• Support network security efforts by applying patches, managing user and device access, and following established compliance standards.<br>• Administer IP addressing, subnet design, and related network configuration settings across the environment.<br>• Investigate and resolve connectivity, hardware, and performance problems affecting local and broader network operations.<br>• Create and maintain clear technical documentation covering configurations, troubleshooting processes, and issue resolution details.<br>• Communicate technical findings, recommendations, and solutions effectively to both technical colleagues and non-technical users.
<p>Robert Half is seeking a Contract Network Administrator to join our client's IT team. As a Contract Network Administrator, you will be responsible for the design, implementation, and maintenance of the organization's network infrastructure. This role offers an exciting opportunity to work with a respected organization and contribute to the management of a robust and efficient network environment.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ol><li><strong>Network Design and Configuration:</strong> Design, deploy, and maintain network infrastructure, including routers, switches, firewalls, and wireless technologies, to ensure optimal performance and security.</li><li><strong>Network Monitoring and Optimization:</strong> Monitor network performance, troubleshoot issues, and implement optimizations to maximize network efficiency and reliability.</li><li><strong>Security Management:</strong> Implement and manage network security measures, including firewalls, intrusion detection systems, and VPNs, to protect against cybersecurity threats.</li><li><strong>Network Maintenance:</strong> Perform routine maintenance tasks, such as software updates, firmware upgrades, and hardware replacements, to ensure network stability.</li><li><strong>Troubleshooting and Support:</strong> Provide technical support and resolve network-related issues reported by users or identified through monitoring tools in a timely manner.</li><li><strong>Documentation:</strong> Maintain accurate documentation of network configurations, procedures, and changes for future reference and compliance purposes.</li><li><strong>Vendor Coordination:</strong> Collaborate with vendors and service providers to procure network equipment, manage service contracts, and troubleshoot complex network issues.</li><li><strong>Capacity Planning:</strong> Assess network capacity, anticipate growth requirements, and make recommendations for upgrades or changes to meet organizational needs.</li></ol><p><br></p>
<p>We are looking for a Staff Database Engineer to provide technical leadership for a global cloud data environment supporting large-scale, distributed business operations in Utah. This contract-to-hire position will focus on building and improving secure, highly available database platforms across AWS while partnering with engineering teams to strengthen performance, resilience, and scalability. The role is ideal for someone who brings deep database expertise, strong automation skills, and a practical approach to supporting modern data pipelines and enterprise applications.</p><p><br></p><p>Responsibilities:</p><p>• Lead the design and ongoing improvement of multi-region database environments across AWS to support globally distributed workloads.</p><p>• Administer and enhance a mix of relational and non-relational platforms, including Snowflake, PostgreSQL, DynamoDB, DocumentDB, Cosmos DB, and MongoDB.</p><p>• Drive database migration efforts between cloud platforms, regional deployments, and legacy environments while minimizing operational risk.</p><p>• Improve system performance through thoughtful indexing, query refinement, capacity planning, and scalable data architecture decisions.</p><p>• Strengthen availability and cost efficiency by tuning database platforms for enterprise-scale throughput, resiliency, and low-latency access.</p><p>• Support data ingestion and ETL workflows by collaborating on services and orchestration tools used across cloud-based pipeline ecosystems.</p><p>• Establish secure connectivity patterns, access controls, encryption standards, and secrets management practices for database services.</p><p>• Build and maintain backup, recovery, and disaster preparedness processes, including point-in-time restore capabilities and continuity planning.</p><p>• Expand monitoring and operational visibility using cloud and third-party observability tools, and take ownership of production incident response when needed.</p><p>• Create and maintain technical documentation such as runbooks, operational procedures, and architecture decision records to support long-term platform reliability</p>
We are looking for a Network/Systems Administrator to provide onsite support for core infrastructure operations in Chicago, Illinois. This Long-term Contract position focuses on keeping server, virtualization, storage, and network environments stable, secure, and well maintained while partnering with technical teams to resolve issues efficiently. The ideal candidate brings practical experience across VMware, Cisco networking, enterprise storage, and physical cabling, along with a dependable, hands-on approach to day-to-day infrastructure support.<br><br>Responsibilities:<br>• Manage virtual infrastructure by supporting VMware hosts, clusters, virtual machines, and associated platform components.<br>• Track system health, investigate performance concerns, and carry out scheduled maintenance such as patching, upgrades, backups, and operational checks.<br>• Provide administration for enterprise storage platforms, including monitoring utilization, addressing connectivity issues, and assisting with performance tuning.<br>• Configure and troubleshoot Cisco network equipment, including switch ports, VLAN assignments, and general LAN connectivity.<br>• Install and maintain copper and fiber cabling by tracing lines, labeling connections, organizing runs, and resolving physical network issues.<br>• Perform hardware deployment tasks such as rack installation, equipment replacement, and upkeep of server rooms or network closets.<br>• Diagnose infrastructure problems affecting servers, storage, network services, and user connectivity, escalating complex issues when needed.<br>• Keep technical records current by updating diagrams, asset inventories, procedural documentation, and change history.<br>• Follow established security standards, operational procedures, and change-control practices while coordinating with infrastructure, security, application, and support teams.