152 Results for Database Administrator Jobs in Usa

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Data Engineer

Arlington, TX
onsite
Permanent / Full Time
120000 - 150000 USD / Yearly
We are looking for a Data Engineer to help strengthen financial decision-making by building reliable data and automation capabilities that support planning and analysis. This position works closely with finance leaders and business partners to turn strategic goals into scalable data solutions, improving visibility, speed, and confidence in reporting. Responsibilities:• Design and maintain data pipelines that convert financial and operational information into trusted, analysis-ready datasets for planning and reporting.• Create scalable data models and structured finance data assets within the broader enterprise ecosystem to support consistent, governed analytics.• Develop automation solutions using tools such as Python, Excel, and workflow platforms to streamline recurring finance processes and increase team capacity.• Build near real-time data transformation processes that improve the timeliness and accuracy of performance visibility for stakeholders.• Apply AI-enabled techniques such as anomaly detection, forecasting support, and variance analysis to enhance financial insight generation.• Deliver self-service analytics tools and reporting frameworks that allow business users to explore key metrics and make informed decisions independently.• Establish documentation, data standards, and governance practices that improve maintainability, quality, and long-term adoption of solutions.• Monitor and support automated jobs and bot-driven processes, including troubleshooting, performance oversight, and control management.• Translate complex data findings into clear, executive-level outputs that help guide business strategy and financial priorities
2026-10-17T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Permanent / Full Time
130000 - 140000 USD / Yearly
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. Responsibilities: • Design and maintain enterprise data warehouse solutions using dimensional modeling techniques that support reporting, analytics, and long-term scalability. • Develop, orchestrate, and optimize ETL and ELT workflows for batch and near real-time data movement using modern pipeline and scheduling tools. • Build robust data architectures across cloud-based platforms while balancing performance, resilience, and cost efficiency. • Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks, then implement practical fixes that improve reliability and throughput. • Apply governance standards by supporting data quality controls, metadata practices, lineage visibility, and role-based access management. • Partner with business and technical stakeholders to translate data needs into well-structured solutions and provide clear updates on progress, risks, and delivery timelines. • Create efficient code for data transformation and aggregation using Python and advanced query development techniques. • Integrate data from databases, APIs, streaming platforms, and external sources to support a broad range of analytical use cases. • Mentor team members and contribute ideas that streamline processes, reduce friction, and strengthen engineering best practices.
2026-10-21T00:00:00Z

Data Engineer

Conshohocken, PA
remote
Permanent / Full Time
100000 - 150000 USD / Yearly
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. Responsibilities: • Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows. • Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions. • Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use. • Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints. • Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions. • Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets. • Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels. • Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing. • Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
2026-10-08T00:00:00Z

Data Engineer

Cincinnati, OH
remote
Temporary / Contract
80 - 100 USD / Hourly
We are looking for an experienced Data Engineer to support enterprise-scale data initiatives for a financial services environment in Cincinnati, Ohio. This Long-term Contract position will focus on building reliable data foundations, shaping data structures that support investment and portfolio reporting, and partnering with business and technology leaders to solve complex information challenges. The ideal candidate brings deep expertise in modern data engineering, strong knowledge of financial data domains, and the ability to turn strategic needs into scalable technical solutions. Responsibilities: • Design and maintain scalable data pipelines that collect, transform, and deliver high-value business and financial data across enterprise platforms. • Develop conceptual, logical, and physical data models that improve consistency, usability, and long-term management of critical information assets. • Collaborate with executive stakeholders, business teams, and technical partners to define data solutions aligned with operational and strategic objectives. • Establish and strengthen practices for data governance, stewardship, metadata management, lineage tracking, and data quality oversight. • Translate complex business questions related to funds, investments, portfolio companies, and investors into effective engineering and data architecture solutions. • Build and optimize ETL workflows using technologies such as Python, Apache Spark, Hadoop, and Kafka to support large-scale data processing. • Partner across business and technology functions to ensure data platforms meet regulatory, privacy, risk, and compliance expectations within a financial services setting. • Analyze enterprise data issues, identify improvement opportunities, and implement solutions that enhance reliability, accessibility, and reporting accuracy.
2026-11-05T00:00:00Z

Data Engineer

Little Rock, AR
onsite
Temporary / Contract
100000 - 120000 USD / Yearly
Data Pipeline Development & Integration<ul><li>Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from multiple sources.</li><li>Develop automated data integration solutions supporting enterprise applications, analytics, and reporting.</li><li>Integrate structured and semi-structured data from APIs, relational databases, cloud platforms, and third-party systems.</li><li>Develop batch and real-time data processing solutions.</li><li>Troubleshoot pipeline failures, data inconsistencies, and performance bottlenecks.</li></ul>Data Warehousing & Architecture<ul><li>Design and optimize enterprise data warehouses, data lakes, and lakehouse architectures.</li><li>Develop efficient data models, schemas, and transformations to support business intelligence and analytics.</li><li>Build and maintain cloud-based data solutions using AWS, Microsoft Azure, or Google Cloud.</li><li>Optimize SQL queries, database performance, and data processing workloads.</li><li>Implement data partitioning, indexing, and storage optimization strategies.</li></ul>Data Quality & Governance<ul><li>Develop automated data validation, monitoring, and quality assurance processes.</li><li>Ensure data accuracy, consistency, reliability, and availability across enterprise systems.</li><li>Implement data governance standards, access controls, and security best practices.</li><li>Maintain documentation for data pipelines, architecture, and transformation logic.</li><li>Support compliance with organizational data privacy and security requirements.</li></ul>Cloud Engineering & Automation<ul><li>Develop and maintain cloud-native data pipelines and processing workflows.</li><li>Utilize orchestration tools such as Apache Airflow, Azure Data Factory, or similar technologies.</li><li>Implement CI/CD practices for data engineering workflows.</li><li>Automate data processing, monitoring, and infrastructure deployment.</li><li>Collaborate with DevOps and infrastructure teams to improve scalability and reliability.</li></ul>Analytics & AI Support<ul><li>Partner with business intelligence and analytics teams to deliver reliable datasets for reporting and dashboards.</li><li>Develop curated data models supporting Power BI, Tableau, and other visualization platforms.</li><li>Build data pipelines supporting machine learning, predictive analytics, and AI applications.</li><li>Collaborate with AI engineers and data scientists to prepare, transform, and deliver data for model development and production applications.</li><li>Identify opportunities to improve business processes through better data integration and automation.</li></ul>
2026-11-03T00:00:00Z

Data Engineer

Nashville, TN
onsite
Temporary / Contract
62 - 71 USD / Hourly
Robert Half is seeking a Contract Data Engineer to support our client’s data and analytics initiatives. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable efficient data ingestion, transformation, and delivery. The ideal candidate has strong experience working with modern data platforms, cloud environments, and large-scale datasets. Key Responsibilities:<ul><li>Data Pipeline Development: Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li>Data Architecture: Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li>Cloud Data Platforms: Work within cloud environments such as AWS, Azure, or GCP to deploy and manage data solutions.</li><li>Data Warehousing: Design and support enterprise data warehouses using platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse.</li><li>Big Data Processing: Develop solutions using big data technologies such as Spark, Databricks, Kafka, and Hadoop when required.</li><li>Performance Optimization: Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li>Data Quality & Reliability: Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li>Collaboration: Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li>Documentation: Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul>
2026-11-03T00:00:00Z

Data Engineer

Appleton, WI
onsite
Temporary to Hire
57 - 70 USD / Hourly
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. Responsibilities: • Design, build, and enhance modern data lake architecture in Google Cloud Platform to support scalable and efficient data operations. • Develop robust data pipelines using Python, SQL, Spark, and ETL frameworks to ingest, transform, and prepare data from multiple sources. • Create and maintain notebook-based solutions that demonstrate clear technical approaches, reusable logic, and well-documented project outcomes. • Integrate large-scale data processing technologies such as Hadoop and Kafka to support high-volume and streaming data workloads. • Collaborate with cross-functional teams to translate business needs into data engineering solutions that improve reporting, analytics, and operational decision-making. • Apply AI-driven tools and approaches to accelerate development, improve solution quality, and deliver innovative customer-focused outcomes. • Support cloud data environments that may include Azure Data Lake and related platforms as part of broader enterprise data initiatives. • Contribute to data platform improvements, including work connected to enterprise tool adoption or internal platform changes when needed.
2026-10-30T00:00:00Z

Data Engineer

Arlington, VA
onsite
Permanent / Full Time
150000 - 170000 USD / Yearly
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. 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.
2026-10-08T00:00:00Z

Data Engineer

Philadelphia, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
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. Responsibilities: • Design, build, and maintain data pipelines that ingest, transform, and prepare HR and workforce data for downstream analytics and reporting. • Develop scalable data processing solutions using Azure Databricks, Python, Spark, and SQL to support production-grade data products. • Orchestrate and monitor data workflows through Azure Data Factory to ensure timely, accurate, and resilient data movement. • Analyze existing data sources and business requirements to create efficient transformation logic and structured datasets. • Collaborate with stakeholders across technical and functional teams to align data engineering deliverables with HR reporting and operational needs. • Improve data quality, performance, and reliability by applying sound ETL practices, validation checks, and optimization techniques. • Support integration efforts involving HR systems and related interfaces, including work connected to evolving source platforms when needed. • Contribute to documentation, technical standards, and knowledge sharing to support maintainability and long-term solution success.
2026-11-06T00:00:00Z

Data Engineer

Philadelphia, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
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. Responsibilities: • Design, build, and maintain robust ETL and ELT workflows that support HR and workforce data products. • Develop scalable data transformations using Python, SQL, Spark, and Azure Databricks to prepare high-quality datasets for downstream use. • Orchestrate and monitor pipeline execution through Azure Data Factory to ensure dependable and timely data delivery. • Analyze existing source systems and data structures to map requirements and create efficient ingestion and transformation logic. • Partner with stakeholders across HR and analytics teams to turn business questions into practical engineering solutions. • Improve data quality, performance, and reliability by applying modern engineering standards, testing practices, and documentation. • Support integrations across HRIS and related platforms, including contributing to interface development where needed. • Create production-ready datasets that enable reporting, workforce analysis, and broader people data initiatives.
2026-11-06T00:00:00Z

Data Engineer

Oskaloosa, IA
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Position: Data Engineer Location: Oskaloosa, IA / Des Moines, IA -- Onsite Salary: $100,000 - $120,000 base + exceptional benefits *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** Data Engineer Shape the Future of Enterprise Analytics, AI & Data Innovation 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? 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. This role is ideal for someone who enjoys being hands-on, partnering with the business, and building modern data solutions that drive meaningful outcomes. What You'll Do • Design and develop scalable data models, semantic layers, and enterprise data solutions • Build trusted data structures that support analytics, reporting, AI, and business intelligence initiatives • Develop and optimize cloud-based data pipelines and integrations • Improve data governance, lineage, metadata management, and observability practices • Create automated data quality and validation frameworks • Implement CI/CD processes and modern DataOps best practices • Optimize SQL performance across warehouses, lakehouses, and reporting environments • Partner with analysts and business stakeholders to transform complex problems into actionable solutions • Contribute to technical standards, mentoring, documentation, and architectural best practices What We're Looking For Core Qualifications • Strong experience with data modeling and semantic modeling • Hands-on experience with Microsoft Fabric, Azure, and Power BI • Advanced SQL development and performance optimization skills • Experience with Git, CI/CD, and modern data engineering practices • Ability to translate business requirements into scalable technical solutions • Experience developing enterprise data pipelines and analytics platforms • A plus if you have data governance, data warehouse, data lake and or DBT experience. *** 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. ***
2026-10-13T00:00:00Z

Data Engineer

Saint Petersburg, FL
onsite
Temporary to Hire
57 - 66 USD / Hourly
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. Responsibilities: • Design and deliver interactive dashboards and reporting solutions that support business decision-making across the analytics function. • Build and enhance data products within Databricks to provide reliable, user-friendly access to operational and analytical insights. • Develop and maintain ETL pipelines using Python, Apache Spark, and Azure-based data services to prepare data for reporting and analysis. • Create scalable data models and curated datasets in Azure Data Lake and related platforms to support self-service analytics. • Contribute to AI-enabled business intelligence solutions using Databricks tools and lakehouse technologies. • Partner with analytics stakeholders to translate reporting needs into technical solutions that are accurate, efficient, and maintainable. • Support the evolution of reporting assets, including work associated with shifting Power BI-based reporting into Databricks environments. • Monitor data quality, troubleshoot reporting issues, and optimize performance across dashboards, pipelines, and data assets.
2026-10-28T00:00:00Z

Data Engineer

Oklahoma City, OK
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
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. Responsibilities: • Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.• Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.• Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.• Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.• Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.• Ensure data quality, governance, and integrity by implementing and enforcing best practices.
2026-10-28T00:00:00Z

Database Technology Product Manager

Commerce, CA
onsite
Temporary / Contract
95 - 110 USD / Hourly
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. Responsibilities: • Lead the full product lifecycle for database and data science initiatives, from early concept development through deployment, measurement, and ongoing enhancement. • Act as the central point of coordination between executive leadership, business stakeholders, and engineering teams to keep priorities aligned and delivery on track. • Establish and grow a technical product management function focused on research and development initiatives within the organization. • Define product strategy, investment priorities, and roadmap decisions for proprietary data products that support customer insight and business growth. • Develop a data science inference capability that converts large and complex datasets into recommendations, decision support, and behavioral signals across hospitality experiences. • Deliver clear updates to senior executives and board-level audiences, clearly outlining progress, risks, outcomes, and future plans. • Guide prioritization and governance discussions by evaluating trade-offs, setting benchmarks, and supporting funding-related decision processes. • Partner with technical teams to translate machine learning, data modeling, and analytics concepts into practical product direction and measurable value. • Help bring specialized products to market responsibly while serving as a strategic interface between developers and customer-facing partners.
2026-10-15T00:00:00Z

Network Administrator

Austin, TX
onsite
Temporary / Contract
24 - 26 USD / Hourly
We are looking for a Network Administrator to support and maintain enterprise network operations for a part-time contract position that is onsite in Austin, Texas. 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. Responsibilities:• Oversee day-to-day performance and availability of network systems to ensure dependable connectivity across the organization.• Configure, manage, and troubleshoot Cisco routers and related networking equipment to support stable operations.• Administer firewall technologies by applying security policies, reviewing access controls, and responding to network threats.• Maintain and support LAN environments, including monitoring traffic, identifying bottlenecks, and improving overall performance.• Assist with Active Directory-related network access and authentication needs in coordination with internal IT teams.• Investigate connectivity issues, perform root cause analysis, and implement timely resolutions to minimize downtime.• Document network configurations, support procedures, and infrastructure changes to maintain accurate technical records.
2026-11-03T00:00:00Z

Network Administrator

Nashville, TN
onsite
Temporary / Contract
35 - 40 USD / Hourly
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. Key Responsibilities:<ol><li>Network Design and Configuration: Design, deploy, and maintain network infrastructure, including routers, switches, firewalls, and wireless technologies, to ensure optimal performance and security.</li><li>Network Monitoring and Optimization: Monitor network performance, troubleshoot issues, and implement optimizations to maximize network efficiency and reliability.</li><li>Security Management: Implement and manage network security measures, including firewalls, intrusion detection systems, and VPNs, to protect against cybersecurity threats.</li><li>Network Maintenance: Perform routine maintenance tasks, such as software updates, firmware upgrades, and hardware replacements, to ensure network stability.</li><li>Troubleshooting and Support: Provide technical support and resolve network-related issues reported by users or identified through monitoring tools in a timely manner.</li><li>Documentation: Maintain accurate documentation of network configurations, procedures, and changes for future reference and compliance purposes.</li><li>Vendor Coordination: Collaborate with vendors and service providers to procure network equipment, manage service contracts, and troubleshoot complex network issues.</li><li>Capacity Planning: Assess network capacity, anticipate growth requirements, and make recommendations for upgrades or changes to meet organizational needs.</li></ol>
2026-11-03T00:00:00Z

Network Administrator

Manchester, NH
onsite
Temporary to Hire
0 - 0 USD / Yearly
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. Responsibilities: • Oversee the administration, tuning, and ongoing support of firewall environments using leading platforms such as Fortinet, SonicWall, Cisco Meraki, Palo Alto, and WatchGuard. • Build, maintain, and optimize network infrastructure, including switching, VLAN segmentation, routing, and wireless connectivity for client environments. • Configure secure site-to-site and remote access VPN solutions to ensure dependable connectivity for distributed users and locations. • Track network health and security posture, respond to performance concerns, and address risks before they affect business operations. • Conduct firewall policy assessments, manage rule sets, and participate in security reviews to strengthen protection and compliance. • Contribute to infrastructure planning for new deployments, expansions, and technology refresh initiatives across client sites. • Diagnose and resolve advanced network and connectivity problems spanning multiple offices and mixed environments. • Administer Windows Server platforms and core services such as Active Directory, Group Policy, file services, and print services. • Support Microsoft 365 and Azure AD environments, including collaboration, device management, and cloud-based user administration. • Partner with clients and internal sales stakeholders during discovery discussions, assessments, solution planning, and technical presentations.
2026-10-27T00:00:00Z

Network Administrator

Albuquerque, NM
onsite
Temporary to Hire
0 - 0 USD / Yearly
Robert Half is seeking a Network Administrator for a New Mexico based organization.The Network Administrator is responsible for planning/designing, implementing, and supporting new and existing network, server, storage infrastructure. This role is also responsible for ensuring all network security controls (i.e., firewalls, web application firewalls [WAF], proxies, network segmentation, NAC, ACLs, etc.) are implemented and managed per corporate information security standards. Additionally, responsibilities include assessing enterprise assets and critical assets for secure configurations and maintaining and enforcing regulations and standards Responsible for the design, planning, operation, maintenance, and support of the network infrastructure. This includes primary accountability for network technologies such as route/switch, on-premise and Cloud LAN/WAN, IPAM, Wi-Fi, ISP management, site-to-site VPNs, proxies (forward and reverse), perimeter firewall management, DNS, Azure cloud environments, automation, NAC/user access, hyperconverged infrastructure, and overall network security. Partners with the Telecommunication vendors on establishing/upgrading existing circuits/communication links. Responsible for business continuity and disaster recovery plans. Responsible for SIP, DHCP, DNS, TCP/IP routing and routing protocols such as OSPF and BGP, binary mathematics, NAT, PAT, IPsec and SSL VPN technologies, GRE tunneling, route redistribution, traffic shaping, port-level filtering, SD-WAN, MPLS and other communications related technologies. Responsible for the installation, configuration, and maintenance of all WAN and LAN connectivity which includes core and campus switches, routers, firewalls, wireless access points, WAN scalers and load balancer technologies. Responsible for the design, installation, configuration, and maintenance of DNP over IP and serial SCADA communications between the primary and backup control centers. Other duties as needed
2026-11-03T00:00:00Z

Network Administrator

Miami, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
Network AdministratorWe are seeking a knowledgeable Network Administrator to support and maintain our network infrastructure across multiple locations. This role is ideal for someone who enjoys working with routers, switches, firewalls, and wireless technologies while ensuring reliable connectivity for all users. The ideal candidate will have strong problem-solving skills, attention to detail, and a solid understanding of networking fundamentals.Responsibilities<ul><li>Configure, monitor, and troubleshoot switches, routers, firewalls, and wireless access points</li><li>Support LAN/WAN environments including VLANs, VPNs, DHCP, DNS, and routing/switching</li><li>Monitor network performance, bandwidth usage, and system alerts</li><li>Assist with network upgrades, equipment refreshes, and site deployments</li><li>Maintain accurate network documentation including diagrams, IP schemas, and configurations</li><li>Troubleshoot network connectivity issues across wired and wireless environments</li><li>Manage firewall policies, VPN tunnels, ACLs, and network segmentation</li><li>Collaborate with security teams to implement network hardening measures</li><li>Support VoIP systems, WAN circuits, and remote connectivity</li><li>Escalate complex issues and coordinate with vendors when necessary</li></ul>
2026-11-04T00:00:00Z

Network Administrator

Tamarac, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Network Administrator to support a local government organization in Tamarac, Florida through a Contract position. This role is focused on strengthening secure access across the environment, with an emphasis on multi-factor authentication initiatives and dependable network operations. The ideal candidate will combine hands-on technical expertise with strong coordination skills to help deliver secure, stable, and user-focused infrastructure services. Responsibilities: • Lead the implementation of multi-factor authentication across designated systems and user groups to improve access security. • Configure, maintain, and support network infrastructure to promote reliable connectivity and consistent performance. • Partner with internal teams to plan, test, and deploy secure access solutions with minimal disruption to daily operations. • Troubleshoot authentication, connectivity, and network-related issues and resolve them in a timely manner. • Monitor network environments and security controls to identify risks, performance concerns, and opportunities for improvement. • Document configurations, procedures, and technical changes to support ongoing administration and knowledge sharing. • Provide technical guidance to users and stakeholders regarding access methods, authentication tools, and network best practices. • Assist with rollout activities related to Duo implementation, including setup, validation, and post-deployment support.
2026-11-06T00:00:00Z

Staff Database Engineer

Salt Lake City, UT
remote
Temporary to Hire
80 - 95 USD / Hourly
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. Responsibilities:• Lead the design and ongoing improvement of multi-region database environments across AWS to support globally distributed workloads.• Administer and enhance a mix of relational and non-relational platforms, including Snowflake, PostgreSQL, DynamoDB, DocumentDB, Cosmos DB, and MongoDB.• Drive database migration efforts between cloud platforms, regional deployments, and legacy environments while minimizing operational risk.• Improve system performance through thoughtful indexing, query refinement, capacity planning, and scalable data architecture decisions.• Strengthen availability and cost efficiency by tuning database platforms for enterprise-scale throughput, resiliency, and low-latency access.• Support data ingestion and ETL workflows by collaborating on services and orchestration tools used across cloud-based pipeline ecosystems.• Establish secure connectivity patterns, access controls, encryption standards, and secrets management practices for database services.• Build and maintain backup, recovery, and disaster preparedness processes, including point-in-time restore capabilities and continuity planning.• Expand monitoring and operational visibility using cloud and third-party observability tools, and take ownership of production incident response when needed.• Create and maintain technical documentation such as runbooks, operational procedures, and architecture decision records to support long-term platform reliability
2026-11-05T00:00:00Z

Data Platform Engineer

Cleveland, OH
onsite
Permanent / Full Time
75000 - 90000 USD / Yearly
One of Robert Half's clients is looking for a curious, resourceful Data Platform Engineer to help us strengthen the foundation behind our data. This is a hands-on, growth-oriented role for someone who enjoys investigating how systems work, solving practical problems, and learning new technologies. You will help build and maintain data pipelines, improve the reliability and accessibility of our data, and contribute to an assessment of our current data architecture. You will have the opportunity to work across several areas of data engineering rather than being limited to one narrow specialty. This may include data integration, pipeline development, data modeling, quality monitoring, documentation, reporting support, and architecture discovery. We are more interested in how you approach problems than whether you have already used every technology in our environment. The right person is dependable, asks thoughtful questions, follows work through to completion, and knows how to use modern AI development tools responsibly and effectively. Essential Functions Build, maintain, and improve pipelines that move data between operational systems, databases, warehouses, and reporting tools. Help document our existing data environment, including data sources, integrations, transformations, storage, reporting dependencies, and access controls. Support an audit of the current data architecture by investigating how systems connect and identifying potential reliability, scalability, data-quality, security, or maintainability concerns. Work with more experienced team members and business stakeholders to evaluate and prioritize improvements. Develop and maintain reusable data models for reporting, analytics, and operational use. Add testing, monitoring, alerting, logging, and documentation to important data workflows. Investigate failed jobs, inconsistent metrics, and other data issues through structured root-cause analysis. Write readable, maintainable code using source control, code review, automated testing, and repeatable deployment practices. Translate business needs into practical technical solutions with guidance from internal stakeholders. Use AI-assisted development tools to accelerate research, coding, testing, documentation, and troubleshooting. Review and validate AI-generated work rather than accepting it without verification. Learn unfamiliar systems and technologies as needed and share what you discover with the team. Knowledge, Skills & Abilities Strong foundational SQL skills and experience working with relational data. Working knowledge of Python, R, or another language used for data processing and automation. Some experience building, modifying, or supporting ETL/ELT pipelines. Familiarity with databases, data warehouses, APIs, scheduled jobs, or cloud-based data services. Basic experience with Git and modern software-development practices. An ability to investigate unfamiliar problems, test assumptions, and communicate findings clearly. A dependable approach to execution, documentation, and follow-through. Genuine curiosity and a willingness to learn technologies outside your current experience. Practical experience using AI coding assistants or language models as part of a development workflow. Good judgment about validating AI-generated code and protecting confidential or sensitive company information.
2026-10-30T00:00:00Z

Data Analyst

Miami, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
Data AnalystLocation: Miami, FLAbout the RoleOur client is looking for a Data Analyst to turn raw data into clear, actionable insights that guide business decisions. You will work closely with stakeholders across the organization to build reports, uncover trends, and improve how data is collected and used. This is a great fit for someone who enjoys solving problems, asking good questions, and telling a story with numbers.What You’ll Do<ul><li>Gather, clean, and validate data from multiple sources to ensure accuracy and consistency</li><li>Write SQL queries to extract and analyze data from relational databases</li><li>Build and maintain dashboards and reports in Power BI, Tableau, or similar tools</li><li>Identify trends, patterns, and opportunities, and present findings to technical and non technical audiences</li><li>Partner with business teams to define KPIs and translate questions into analysis</li><li>Automate recurring reports and streamline data workflows</li><li>Support ad hoc requests and deeper dive projects as business needs evolve</li><li>Document data sources, definitions, and processes</li></ul>
2026-11-04T00:00:00Z

Data Analyst

New York, NY
onsite
Temporary / Contract
35.15 - 40.7 USD / Hourly
We are looking for a Data Analyst to join a FinTech organization in New York, New York. This Long-term Contract position is ideal for someone who enjoys translating complex commercial and sales data into practical recommendations that support pricing, forecasting, and business decisions. In this role, you will work across teams to strengthen reporting accuracy, develop analytical models, and present insights that help guide deal strategy and revenue outcomes. Responsibilities: • Build and refine analytical models and reusable templates to evaluate new business opportunities as well as converted accounts. • Perform margin-focused assessments on proposed deals to support pricing decisions and overall commercial strategy. • Create clear presentation materials that summarize commercial proposals, financial considerations, and key business insights. • Prepare internal review decks that clearly communicate deal performance, assumptions, risks, and recommendations for stakeholders. • Audit and validate Salesforce data to improve consistency, completeness, and reporting reliability. • Maintain accurate weekly tracking reports and ensure leadership has timely visibility into performance metrics and pipeline activity. • Analyze sales and pricing data to uncover trends, compare scenario outcomes, and support revenue forecasting. • Partner with cross-functional teams including Sales and Finance to align analysis with business objectives and customer needs.
2026-11-03T00:00:00Z

Data Analyst

De Pere, WI
onsite
Temporary / Contract
45 - 50 USD / Hourly
We are seeking a detail-oriented Data Analyst to support material and vendor master data management for a well-established organization. This position is responsible for maintaining accurate data within SAP, processing material and vendor updates, supporting data governance initiatives, and ensuring data integrity across business operations. The ideal candidate brings experience in SAP, master data management, data validation, and process improvement, along with strong analytical and organizational skills. Key Responsibilities Create, update, and maintain material and vendor master records within SAP. Ensure accuracy, completeness, and consistency of master data across systems. Process vendor setup requests, changes, and updates while verifying required documentation and approvals. Maintain material records throughout the product lifecycle, including status changes and updates. Support data governance policies, procedures, and quality standards. Research and resolve data discrepancies, errors, and system-related issues. Collaborate with cross-functional teams to address data requests and operational needs. Support data synchronization and publication processes, including GDSN, 1WorldSync, and GS1 standards. Monitor shared mailboxes, manage incoming requests, and meet established service-level agreements (SLAs). Assist with data cleanup, reporting, and process improvement initiative
2026-10-21T00:00:00Z

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