<p>We are proactively seeking experienced Data Engineers for upcoming contract and contract-to-hire opportunities with our clients across a variety of industries. These roles offer the opportunity to work on modern cloud data platforms, enterprise analytics initiatives, and large-scale data transformation projects.</p><p>The ideal candidate has strong experience building scalable data pipelines, supporting enterprise reporting and analytics environments, and working closely with BI, analytics, and engineering teams to deliver reliable, business-critical data solutions.</p><p><strong>Responsibilities</strong></p><ul><li>Design, build, and maintain scalable ETL/ELT pipelines and data integration processes</li><li>Develop and optimize cloud-based data solutions within Azure, AWS, or GCP environments</li><li>Support enterprise BI and analytics initiatives by delivering clean, reliable, analytics-ready datasets</li><li>Work with large datasets across data warehouses, data lakes, and operational systems</li><li>Collaborate with business stakeholders, analysts, and development teams to gather requirements and deliver data solutions</li><li>Optimize SQL queries, database performance, and data processing workflows</li><li>Support data governance, quality, validation, and automation initiatives</li><li>Participate in data architecture, modernization, and migration projects</li></ul>
<p>Data Engineer</p><p>On-site | Austin, TX | Contract</p><p><br></p><p>Robert Half is partnering with a financial services organization to hire a Data Engineer in Austin, TX. This contract opportunity is ideal for someone with 3 years of experience building and optimizing modern data pipelines and analytics environments. The role focuses on moving data across cloud-based platforms to support reliable reporting, stronger data visibility, and informed decision-making across the organization.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>• Build and maintain data pipelines that move information from data lake environments into structured warehouse and reporting platforms.</p><p>• Develop, schedule, and optimize ETL and ELT workflows using Matillion to support dependable data delivery.</p><p>• Design and manage Snowflake data models that improve accessibility, performance, and scalability for business users.</p><p>• Partner with analytics and reporting stakeholders to prepare datasets that support Tableau dashboards and visual insights.</p><p>• Monitor data processing jobs, troubleshoot failures, and resolve quality issues to maintain trusted data assets.</p><p>• Work within AWS-based environments to support secure, efficient, and scalable data integration processes.</p><p>• Collaborate with cross-functional teams to understand data needs and translate them into practical engineering solutions.</p>
We are looking for a Data Engineer to join a financial services organization in Greer, South Carolina on a contract-to-permanent basis. This role focuses on building and enhancing modern data pipelines within a cloud-centered environment, with Snowflake serving as the primary data platform. The ideal candidate will help deliver production-ready solutions, strengthen data reliability, and apply disciplined engineering practices to support scalable, near real-time data processing.<br><br>Responsibilities:<br>• Design, build, and deliver end-to-end data pipelines in Snowflake that support business reporting and data consumption needs.<br>• Create new ingestion and transformation workflows while troubleshooting pipeline issues to improve stability and performance.<br>• Contribute to a delivery model that balances new development with targeted optimization of existing data assets and workflows.<br>• Implement streaming and event-driven ingestion patterns using Kafka to support timely and scalable data movement.<br>• Improve observability across the data ecosystem by strengthening monitoring, alerting, and data quality controls.<br>• Help simplify legacy data processes by reducing technical debt and modernizing outdated pipeline components.<br>• Apply sound software engineering standards, including maintainable code, documentation, and repeatable development practices.<br>• Support the advancement of testing and CI/CD processes by helping establish more consistent engineering workflows.<br>• Leverage AI-assisted development tools to accelerate coding, validation, and technical documentation where appropriate.
We are looking for a Data Engineer to support the design, development, and optimization of modern data solutions in Houston, Texas. This Long-term Contract position is ideal for someone who enjoys building reliable pipelines, working with large-scale datasets, and improving the flow of information across systems. The role offers the opportunity to contribute technical expertise in a collaborative environment focused on performance, scalability, and data quality.<br><br>Responsibilities:<br>• Build and maintain scalable data pipelines that collect, transform, and deliver data for analytics and operational use.<br>• Develop ETL processes that improve the accuracy, consistency, and availability of data across multiple sources.<br>• Use Python and Apache Spark to process large datasets efficiently and support advanced data engineering workflows.<br>• Work with Hadoop-based environments to manage distributed data processing and storage activities.<br>• Integrate streaming and messaging solutions using Apache Kafka to support timely data movement and event-driven processing.<br>• Monitor pipeline performance, troubleshoot failures, and implement enhancements that strengthen reliability and efficiency.<br>• Partner with technical and business stakeholders to understand data needs and translate them into practical engineering solutions.
<p>We are seeking a highly skilled Data Engineer to design, build, and manage our data infrastructure. The ideal candidate is an expert in writing complex SQL queries, designing efficient database schemas, and developing ETL/ELT pipelines. This role ensures data accuracy, accessibility, and performance optimization to support business intelligence, analytics, and reporting initiatives.</p><p><br></p><p><strong><em><u>Key Responsibilities</u></em></strong></p><p><br></p><p><strong>Database Design & Management</strong></p><ul><li>Design, develop, and maintain relational databases, including SQL Server, PostgreSQL, and Oracle, as well as cloud-based data warehouses.</li></ul><p><strong>Strategic SQL & Data Engineering</strong></p><ul><li>Develop advanced, optimized SQL queries, stored procedures, and functions to process and analyze large, complex datasets and deliver actionable business insights.</li></ul><p><strong>Data Pipeline Automation & Orchestration</strong></p><ul><li>Build, automate, and orchestrate ETL/ELT workflows using SQL, Python, and cloud-native tools to integrate and transform data from diverse, distributed sources.</li></ul><p><strong>Performance Optimization</strong></p><ul><li>Tune SQL queries and optimize database schemas through indexing, partitioning, and normalization to improve data retrieval and processing performance.</li></ul><p><strong>Data Integrity & Security</strong></p><ul><li>Ensure data quality, consistency, and integrity across systems.</li><li>Implement data masking, encryption, and role-based access control (RBAC).</li></ul><p><strong>Documentation</strong></p><ul><li>Maintain comprehensive technical documentation, including database schemas, data dictionaries, and ETL workflows.</li></ul>
<p>We are seeking a Data Engineer to support the design, development, and maintenance of scalable data solutions within a Microsoft-focused environment. This role will work closely with business and technical teams to support reporting, analytics, and data integration initiatives.</p><p>Responsibilities</p><ul><li>Develop and maintain data pipelines and ETL processes</li><li>Support data integration and transformation efforts</li><li>Build and optimize SQL queries, stored procedures, and database solutions</li><li>Assist with data warehousing and reporting initiatives</li><li>Monitor data quality, integrity, and system performance</li><li>Collaborate with analysts, developers, and business stakeholders</li><li>Support documentation and troubleshooting efforts</li></ul><p><br></p>
<p>The Database Engineer will design, develop, and maintain database solutions that meet the needs of our business and clients. You will be responsible for ensuring the performance, availability, and security of our database systems while collaborating with software engineers, data analysts, and IT teams.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, implement, and maintain highly available and scalable database systems (e.g., SQL, NoSQL).</li><li>Optimize database performance through indexing, query optimization, and capacity planning.</li><li>Create and manage database schemas, tables, stored procedures, and triggers.</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data integration.</li><li>Ensure data integrity and consistency across distributed systems.</li><li>Monitor database performance and troubleshoot issues to ensure minimal downtime.</li><li>Collaborate with software development teams to design database architectures that align with application requirements.</li><li>Implement data security best practices, including encryption, backups, and access controls.</li><li>Stay updated on emerging database technologies and recommend solutions to enhance efficiency.</li><li>Document database configurations, processes, and best practices for internal knowledge sharing.</li></ul><p><br></p>
We are looking for a talented Data Engineer to join our team in Grand Rapids, Michigan. In this role, you will focus on designing, building, and optimizing robust data solutions using Snowflake and other cloud-based technologies. You will work closely with business intelligence and analytics teams to deliver scalable, high-performance data pipelines that support organizational goals.<br><br>Responsibilities:<br>• Design and implement scalable data models, schemas, and tables within Snowflake, including staging, integration, and presentation layers.<br>• Develop and optimize data pipelines using Snowflake tools such as Snowpipe, Streams, Tasks, and stored procedures.<br>• Ensure data security and access through role-based controls and best practices for data sharing.<br>• Build and maintain ETL pipelines leveraging tools like dbt, Matillion, Fivetran, Informatica, or Azure-native solutions.<br>• Integrate data from diverse sources such as APIs, IoT devices, and NoSQL databases to create unified datasets.<br>• Enhance performance by utilizing clustering, partitioning, caching, and efficient warehouse sizing strategies.<br>• Collaborate with cloud technologies such as AWS, Azure, or Google Cloud to support Snowflake infrastructure and operations.<br>• Implement automated workflows and CI/CD processes for seamless deployment of data solutions.<br>• Maintain high standards for data accuracy, completeness, and reliability while supporting governance and documentation.<br>• Work closely with analytics, reporting, and business teams to troubleshoot issues and deliver scalable solutions.
We are looking for a Data Engineer to join a financial services organization in Greer, South Carolina on a contract basis with the potential for a permanent role. This role focuses on designing and delivering modern data pipelines in a cloud-based environment, with an emphasis on reliability, quality, and scalable data processing. The position offers the opportunity to contribute to both new development and targeted improvements across an evolving data ecosystem centered on Snowflake and event-driven ingestion.<br><br>Responsibilities:<br>• Design, build, and deliver end-to-end data pipelines in Snowflake to support business and analytics needs.<br>• Create new data integration workflows while troubleshooting and resolving issues in existing pipelines.<br>• Apply sound engineering practices for coding, documentation, testing, and deployment to improve consistency and maintainability.<br>• Balance hands-on development of new solutions with optimization work that improves performance, stability, and efficiency.<br>• Develop streaming and ingestion processes using Kafka to enable timely and dependable data movement.<br>• Strengthen observability and data quality controls so pipeline health and accuracy are easier to monitor and maintain.<br>• Help reduce technical debt by simplifying legacy data processes and modernizing pipeline design where appropriate.<br>• Contribute to AI-assisted engineering efforts by using approved tools to accelerate development, testing, and documentation activities.
<p>We are looking for a Data Engineer/Analyst to join a B2B technology team in San Francisco, California. This role focuses on turning complex business questions into clear reporting, actionable metrics, and effective dashboard solutions that support multiple teams. The ideal candidate is comfortable working with large datasets, building scalable Tableau reporting, and querying data directly in Databricks. This opportunity is well suited for someone who can balance a steady flow of requests while clearly communicating insights to cross-functional stakeholders.</p><p><br></p><p>This is a 3-6 month contract opportunity. </p><p><br></p><p><br></p><p>Responsibilities:</p><p>• Oversee and prioritize a continuous pipeline of analytics requests coming from different business groups to ensure timely delivery of insights.</p><p>• Investigate reporting issues, resolve dashboard errors, and create new Tableau dashboards designed for long-term scalability and usability.</p><p>• Convert loosely defined business needs into measurable KPIs, structured analysis, and intuitive data visualizations.</p><p>• Write and refine SQL queries against the Databricks data lake to retrieve accurate data for reporting and analysis.</p><p>• Prepare large datasets by extracting, transforming, merging, and summarizing information from multiple sources.</p><p>• Improve query efficiency and enhance data structures to support faster, more reliable dashboard performance.</p><p>• Develop reporting focused on operational metrics such as performance trends, transfer activity, and response or resolution measurements.</p><p>• Design visual outputs such as trend analyses, comparison views, and region-based reporting to help stakeholders interpret results quickly.</p><p>• Present dashboards to partners and explain the methodology, assumptions, and logic behind the analysis in a clear manner.</p>
We are looking for an experienced Data Engineer to join a team delivering modern data solutions in Poughkeepsie, New York. This Long-term Contract position focuses on building reliable, scalable data platforms in Databricks while supporting analytics needs across the business. The role calls for a hands-on engineer who can improve data performance, uphold governance standards, and partner effectively with cross-functional stakeholders in an agile environment.<br><br>Responsibilities:<br>• Create and support scalable data pipelines in Databricks using Spark technologies such as PySpark or Scala to process and deliver high-quality data.<br>• Develop lakehouse architectures on Azure Data Lake Storage Gen2 and ensure strong integration with Databricks for efficient data management.<br>• Establish and monitor data quality controls and governance practices within the platform using validation methods and Delta Lake capabilities.<br>• Investigate pipeline and application inefficiencies, then implement tuning strategies to improve Spark and Databricks performance.<br>• Work closely with analysts and other stakeholders to translate business data needs into refined, analytics-ready datasets.<br>• Automate ingestion, transformation, testing, and release processes, including integration with CI/CD workflows where appropriate.<br>• Provide guidance to less experienced engineers by sharing best practices for Databricks development, optimization, and support.<br>• Maintain clear technical documentation for notebooks, workflows, data models, configurations, and operational procedures.<br>• Protect data assets by applying security controls and compliance standards across the Databricks environment.<br>• Contribute to design sessions, solve complex data issues, and uphold change management and data integrity standards while delivering large assignments on schedule.
<p>We’re seeking a Data Engineer to design and build scalable data pipelines in a modern Azure environment. This role focuses on transforming raw data into reliable, analytics-ready datasets.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Build and maintain <strong>ETL/ELT pipelines</strong> using Azure Data Factory</li><li>Develop data solutions in <strong>Azure Databricks (PySpark / Spark)</strong></li><li>Optimize data processing performance and cost efficiency</li><li>Work with structured and unstructured data across cloud platforms</li><li>Collaborate with analytics and business stakeholders to define data requirements</li><li>Ensure data quality, governance, and documentation</li></ul><p><br></p>
<p>We are looking for an experienced Data Engineer to design and support data exchange solutions that connect external business partners with internal systems. This role will mainly work remotely with different office locations. We are looking for a candidate who lives in NC, within 2 hours of Greensboro, NC. This role focuses on building reliable integration processes, transforming structured files and API-based data, and ensuring critical information is available for reporting and operational use. The ideal candidate brings strong technical depth in data movement and troubleshooting, along with a practical understanding of manufacturing and supply chain workflows.</p><p><br></p><p>Responsibilities:</p><p>• Build and maintain business-to-business data interfaces that onboard new partner organizations and align incoming data with internal database structures.</p><p>• Develop automated workflows that ingest, transform, validate, and deliver data using file-based exchanges, APIs, and structured transaction formats such as EDI and X12.</p><p>• Configure and manage end-to-end integration processes across system interfaces, including flat-file handling, file sharing, and reporting-related data movement.</p><p>• Lead data transformation efforts through the full lifecycle by designing solutions, testing functionality, deploying processes, and stabilizing production performance.</p><p>• Investigate integration failures or data quality issues, identify root causes, and implement corrective actions to restore reliable processing.</p><p>• Partner with business intelligence and reporting teams to provide access to accurate, usable data sources that support analysis and operational decision-making.</p><p>• Apply manufacturing and supply chain process knowledge to structure data flows that support purchasing, components, orders, and assembly-related transactions.</p><p>• Use available tools and platforms to execute integration projects independently, including extracting data from enterprise applications and translating it into usable formats.</p><p>• Create scalable data pipelines that enable customer and order transactions to move through systems with minimal manual intervention.</p>
We are looking for an experienced Data Engineer to help design and support scalable cloud-based data platforms in Jacksonville, Florida. This role focuses on building resilient data solutions in Azure, improving end-to-end data processing, and helping ensure strong performance across distributed systems. You will work closely with global engineering partners, contribute technical direction, and support a reliable delivery model in an Agile environment.<br><br>Responsibilities:<br>• Design, implement, and maintain cloud data infrastructure within Azure, using automation and infrastructure-as-code practices to improve consistency and scalability.<br>• Build and enhance enterprise data pipelines for ingestion, transformation, and processing using Databricks, Apache Spark, and Azure Data Factory.<br>• Provide technical leadership for cloud data platforms by driving architecture decisions that strengthen availability, performance, and long-term scalability.<br>• Collaborate daily with offshore and international engineering teams to align on development priorities, review code, and share technical knowledge across time zones.<br>• Participate actively in Agile ceremonies such as sprint planning, stand-ups, backlog refinement, readiness reviews, and retrospectives to support predictable delivery.<br>• Mentor data engineers through coaching, design guidance, and code review feedback that promotes high engineering standards.<br>• Support production operations by investigating incidents, resolving system bottlenecks, and leading root-cause analysis to improve platform reliability.<br>• Create and maintain architecture documentation, operational runbooks, and technical decision records to support distributed team execution.
We are looking for a Data Engineer to help shape and strengthen the organization’s data ecosystem in Spartanburg, South Carolina. This role focuses on building scalable data structures and reliable integration solutions that support analytics, operational reporting, and long-term business goals. The ideal candidate brings a strong background in modern data platforms and enjoys partnering with technical and business teams to deliver secure, high-quality data solutions.<br><br>Responsibilities:<br>• Develop and refine data models, storage frameworks, and analytical repositories that enable efficient access to trusted information.<br>• Create scalable architecture approaches that support enterprise objectives while improving performance, reliability, and long-term maintainability.<br>• Establish data design standards, architectural patterns, and governance practices that promote consistency, quality, and security across platforms.<br>• Partner with software developers, analytics teams, and business stakeholders to translate operational needs into practical data solutions.<br>• Build and enhance data pipelines and integration processes that move information accurately across systems and support reporting and analysis.<br>• Implement processes for master data, metadata, and data quality management to strengthen governance and regulatory compliance.<br>• Assess emerging tools, cloud technologies, and platform options to recommend solutions that balance cost, scalability, and functionality.<br>• Work closely with data engineering peers to encourage strong technical alignment, knowledge sharing, and continuous improvement across the team.
<p>The Database Engineer will design, develop, and maintain database solutions that meet the needs of our business and clients. You will be responsible for ensuring the performance, availability, and security of our database systems while collaborating with software engineers, data analysts, and IT teams.</p><p> </p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, implement, and maintain highly available and scalable database systems (e.g., SQL, NoSQL).</li><li>Optimize database performance through indexing, query optimization, and capacity planning.</li><li>Create and manage database schemas, tables, stored procedures, and triggers.</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data integration.</li><li>Ensure data integrity and consistency across distributed systems.</li><li>Monitor database performance and troubleshoot issues to ensure minimal downtime.</li><li>Collaborate with software development teams to design database architectures that align with application requirements.</li><li>Implement data security best practices, including encryption, backups, and access controls.</li><li>Stay updated on emerging database technologies and recommend solutions to enhance efficiency.</li><li>Document database configurations, processes, and best practices for internal knowledge sharing.</li></ul><p><br></p>
We are looking for a Data Engineer to join a long-term contract opportunity based in Austin, Texas. In this role, you will turn high-level data architecture direction into practical engineering solutions that strengthen a warehouse-first approach and improve how data is collected, transformed, governed, and shared. You will work with technical and business partners to build reliable data foundations that support both operational processes and analytics. This position also plays an important part in elevating internal data engineering practices through clear documentation, reusable standards, and hands-on knowledge sharing.<br><br>Responsibilities:<br>• Convert architectural guidance into scalable data pipeline designs and warehouse implementation patterns that support consistent delivery.<br>• Build and maintain workflows that ingest source data, prepare it for downstream use, and organize it across raw, staging, curated, and consumption layers.<br>• Assess integration approaches and recommend when data should move directly between applications versus through the warehouse for better governance and reuse.<br>• Create repeatable standards for orchestration, transformation, testing, monitoring, documentation, and support handoff.<br>• Develop and support cloud data warehouse solutions using Snowflake, Matillion, DBT, or comparable data engineering tools based on platform needs.<br>• Collaborate closely with integration and cross-functional team members to explain technical choices, guide implementation decisions, and strengthen team capability.<br>• Produce clear documentation covering data flows, lineage, dependencies, architecture decisions, and operational expectations.<br>• Deliver hands-on engineering leadership that enables durable solutions without creating long-term dependency on external support.
We are looking for a Data Engineer to help transform business data into reliable, accessible insights that support decision-making across the organization. This role partners with teams such as asset management, acquisitions, accounting, and HR to build reporting solutions, improve data quality, and streamline access to critical information. Based in Los Angeles, California, the position is well suited for someone who enjoys combining technical expertise with business collaboration in a fast-moving environment.<br><br>Responsibilities:<br>• Build and enhance dashboards, reports, and automated data workflows using tools such as Python, Excel, and Power BI.<br>• Translate business questions into scalable reporting and analytics solutions by working closely with stakeholders across multiple departments.<br>• Examine large and complex datasets to uncover trends, exceptions, and actionable insights that support operational and strategic decisions.<br>• Design and maintain data extraction, transformation, and loading processes, including query development and performance optimization.<br>• Monitor data accuracy through regular validation, issue resolution, and ongoing improvements to data governance practices.<br>• Support and guide entry-level BI team members by reviewing work, sharing best practices, and encouraging career growth.<br>• Explain technical findings in a clear way to non-technical audiences to promote understanding and adoption of data solutions.<br>• Lead or contribute to cross-functional initiatives that improve data accessibility, usability, and reporting effectiveness across the business.<br>• Administer BI platforms to maintain performance, reliability, and appropriate security controls.<br>• Deliver user support and training to help employees make effective use of reporting tools and interpret data confidently.
<p>A Manufacturing and 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 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 practice</p>
<p>We’re seeking a skilled Database Developer to join a dynamic team based in Jacksonville, Florida. This contract role—with the potential to convert to a long-term position—offers the opportunity to design, build, and optimize database solutions while collaborating closely with cross‑functional teams. The ideal candidate is passionate about database architecture, performance, and delivering high‑quality, scalable solutions.</p><p><br></p><p>Key Responsibilities:</p><p>Design and implement robust database architectures and system-level interfaces</p><p>Provide technical leadership in database architecture, design, and development best practices</p><p>Develop, enhance, and maintain complex database structures within Microsoft SQL Server environments</p><p>Partner with application development teams to ensure alignment with database standards and performance goals</p><p>Create, review, and maintain technical documentation, including system designs and specifications</p><p>Leverage modern tools and techniques to improve development efficiency and support project objectives</p><p>Deliver solutions using agile methodologies, ensuring on-time and high-quality outcomes</p><p>Optimize database performance through efficient queries, indexing, and stored procedures</p><p>Support integration, testing, and deployment activities to ensure smooth project execution</p>
We are looking for a SQL Developer to join a nonprofit organization in Richfield, Minnesota. In this role, you will contribute to database development, reporting, and application support while helping teams improve business processes and data flow across systems. This position is well suited for someone who combines strong SQL expertise with project coordination skills and a practical approach to solving technical and operational challenges.<br><br>Responsibilities:<br>• Direct project activities from planning through completion, tracking milestones, identifying issues, and communicating progress to stakeholders.<br>• Partner with technical and business teams to organize requirements, support implementation efforts, and ensure a smooth handoff into ongoing support.<br>• Review existing applications and workflows to uncover improvement opportunities and translate business needs into clear technical documentation.<br>• Create, optimize, and maintain SQL queries, database views, and stored procedures to support operational and reporting needs.<br>• Provide technical assistance for database-related issues and help maintain reliable performance across supported systems.<br>• Build and support data integration processes, including ETL workflows that move and transform information between platforms.<br>• Develop reports, dashboards, and business intelligence outputs that enable informed decision-making across the organization.<br>• Contribute to system enhancement initiatives and support process changes as needed, including occasional travel for work-related activities.
We are looking for an experienced Network Administrator to join our team in Tampa, Florida. In this role, you will be responsible for ensuring the security, reliability, and performance of the organization's network across multiple data centers and remote locations. This position offers a hands-on opportunity to work within a Cisco-focused environment while managing day-to-day operations and contributing to network architecture and project initiatives. This is a Contract to permanent position, with an initial six-month contract followed by potential conversion to a hybrid schedule.<br><br>Responsibilities:<br>• Oversee the daily operation and uptime of network systems across data centers and remote sites.<br>• Configure, maintain, and troubleshoot Cisco technologies, including Catalyst, Nexus, and wireless platforms.<br>• Administer enterprise firewalls, currently Check Point, with potential future transition to Palo Alto.<br>• Monitor and optimize network traffic and performance using tools such as WireShark, NetScout, and Network Performance Monitor.<br>• Design and update network architectures, including spanning tree configurations and security standards.<br>• Collaborate with cross-functional teams to resolve connectivity and performance issues.<br>• Conduct network analysis, capacity planning, and lifecycle refresh activities.<br>• Ensure accurate documentation of network configurations and compliance with security protocols.<br>• Participate in on-call rotations and resolve support tickets in a timely manner.<br>• Provide guidance and mentorship to entry level network team members.
Our client in the telecommunications space is looking for a Network Administrator to support and maintain their environment while helping modernize key parts of their infrastructure. This is a hands-on role with a strong focus on Microsoft 365, server administration, and ongoing system improvements.<br>What you’ll do:<br>Manage and support a 40+ server environment across primarily Windows systems<br>Administer Microsoft 365, including Exchange Online, user management, and overall tenant support<br>Perform Windows server upgrades, migrations, and ongoing maintenance<br>Support and manage Intune for endpoint configuration and device management<br>Assist with virtualization efforts, including transitioning from KVM to Hyper-V<br>Handle general system administration tasks across servers and enterprise systems<br>Provide light network administration support, including work with UniFi<br>Troubleshoot DNS, IP routing, and connectivity issues<br>Support and coordinate with an external MSP for antivirus and remote management<br>What they’re looking for:<br>Strong experience with Microsoft 365, including Exchange Online<br>Solid background in Windows server administration and upgrades/migrations<br>Experience with Intune or similar endpoint management tools<br>Exposure to virtualization platforms such as Hyper-V or KVM<br>Basic networking knowledge including DNS and IP routing<br>Ability to work independently and take ownership of systems and improvements<br>Some exposure to Linux environments is helpful but not required<br>Nice to have:<br>Experience with Cloudflare, including DNS hosting and web application firewall (WAF)<br>Experience transitioning off MSP-managed tools to internal ownership<br>Familiarity with UniFi networking environments
<p>We are looking for a hands-on Network Administrator to support and maintain a manufacturing environment in Texas. This contract opportunity with permanent potential is ideal for someone who enjoys balancing network administration, technical support, and general infrastructure tasks across multiple facilities. The role focuses on keeping core systems stable, resolving day-to-day connectivity issues, and helping improve network and server room operations as the environment evolves.</p><p><br></p><p><strong>Title: Network Admin</strong></p><p><strong>Location: Grand Prairie, TX </strong></p><p><strong>Duration: 3 Month Contract to Hire </strong></p><p><strong>Pay: 40-45 per hour </strong></p><p><br></p><p>Responsibilities:</p><p>• Oversee daily network operations by checking switch performance, confirming connectivity, and addressing issues before they disrupt business activities.</p><p>• Configure and maintain core networking equipment, including switches, routers, VLANs, and trunk ports, to support reliable communication across the organization.</p><p>• Troubleshoot network ports, hardware connections, and related infrastructure problems to quickly identify root causes and restore service.</p><p>• Deploy and replace network hardware by loading configuration files onto new switches and preparing devices for production use.</p><p>• Support virtualized and server-based environments, including basic server configuration and coordination of infrastructure-related tasks as needed.</p><p>• Provide help desk and general IT support in a versatile capacity, assisting with a wide range of technical needs across the business.</p><p>• Contribute to infrastructure improvement efforts such as access point updates and server room enhancement projects spanning multiple buildings.</p><p>• Assist with maintaining and upgrading legacy network components while helping prepare the environment for newer technologies and cloud-connected solutions.</p>
We are looking for a Network Administrator to support and enhance the organization’s technology environment in West Palm Beach, Florida. This Contract to permanent opportunity is ideal for a detail-oriented individual who can manage network operations, maintain system reliability, and help end users work effectively across a secure infrastructure. The role calls for someone who can balance hands-on technical support with proactive performance improvement and clear communication.<br><br>Responsibilities:<br>• Evaluate network and system needs to recommend practical solutions that support business operations.<br>• Install, configure, and maintain hardware, software, and core network components across the environment.<br>• Perform system updates, repairs, and preventive maintenance to keep infrastructure stable and available.<br>• Monitor security controls and help protect systems, devices, and network access from potential risks.<br>• Analyze performance data and usage trends to improve efficiency, reliability, and overall network effectiveness.<br>• Set up user access, connect new employees to network resources, and ensure accounts and permissions are properly configured.<br>• Provide guidance to end users on supported hardware, software, and day-to-day technology usage.<br>• Investigate and resolve technical issues involving connectivity, devices, and system performance in a timely manner.<br>• Administer and support both local area and wide area network operations, including configuration management and deployments.