Client based near Tucker, GA is looking for a Data Engineer to join a small, high-performing data team of four. This is a hands-on, highly visible role where you will play a critical part in shaping the organization’s data strategy and supporting core operational and analytics systems during a transformative period. You will have the opportunity to directly influence business decisions, design innovative solutions, and make a measurable impact from day one. <br> In this role, you will collaborate closely with Data Analysts, Product Owners, and business stakeholders to design, build, and maintain data pipelines, models, and infrastructure. The environment is fast-paced, collaborative, and tech-forward, with a strong focus on SQL, Tableau, and API-based data integrations. While each Data Engineer owns specific areas of responsibility, cross-training ensures a deep understanding of end-to-end data flows across the organization, giving you broad exposure and detail oriented growth. <br> Key Responsibilities: <br> Design, build, and maintain scalable data pipelines, models, and databases that support analytics and business operations Write, optimize, and maintain complex SQL queries, stored procedures, and triggers Manage data ingestion from APIs and multiple internal and external systems Support data visualization and analytics initiatives using Tableau (Power BI experience also valuable) Ensure data accuracy and troubleshoot issues in reporting, extraction, and warehousing Partner with business and operational teams to translate requirements into actionable data solutions Participate in meetings to drive process improvements and operational efficiencies Provide technical guidance and mentorship to Data Analysts on best practices and prioritization Assist with data governance, performance optimization, and analytics enablement Develop tools, datasets, and processes that streamline business operations Create and maintain clear technical and process documentation Support end users with troubleshooting related to data tools and analytics platforms
<p>We are looking for an experienced Senior Data Engineer to join our team in Denver, Colorado. In this role, you will design and implement data solutions that drive business insights and operational efficiency. You will collaborate with cross-functional teams to manage data pipelines, optimize workflows, and ensure the integrity and security of data systems.</p><p><br></p><p>Responsibilities:</p><p>• Develop and maintain robust data pipelines to process and transform large datasets effectively.</p><p>• Advise on tools / technologies to implement. </p><p>• Collaborate with stakeholders to understand data requirements and translate them into technical solutions.</p><p>• Design and implement ETL processes to facilitate seamless data integration.</p><p>• Optimize data workflows and ensure system performance meets organizational needs.</p><p>• Work with Apache Spark, Hadoop, and Kafka to build scalable data systems.</p><p>• Create and maintain SQL queries for data extraction and analysis.</p><p>• Ensure data security and integrity by adhering to best practices.</p><p>• Troubleshoot and resolve issues in data systems to minimize downtime.</p><p>• Provide technical guidance and mentorship to less experienced team members.</p><p>• Stay updated on emerging technologies to enhance data engineering practices.</p>
<p>We’re hiring a C++ Engineer to build high-performance, real-time software systems where speed, reliability, and precision matter. You’ll work on complex systems including simulations, processing engines, and performance-critical applications.</p><p>What You’ll Do</p><ul><li>Develop and optimize C++ applications for performance and scalability</li><li>Work on multi-threaded and real-time systems</li><li>Debug complex production issues and optimize memory and CPU usage</li><li>Collaborate with cross-functional teams to design robust architectures</li><li>Write clean, maintainable, and testable code</li></ul><p><br></p>
<p>We are seeking an Implementation Engineer to join our team and support the deployment of enterprise software solutions for public sector organizations nationwide. This role involves working closely with project managers and consultants to configure systems, train users, and ensure the successful implementation of software products. The position offers flexibility to work remotely or from one of our office locations.</p><p><strong>Responsibilities:</strong></p><ul><li>Conduct interviews with clients to gather requirements and document needs for system configuration.</li><li>Configure software platforms to align with customer workflows, utilizing standard industry modules and features.</li><li>Perform data migration and conversion using tools such as ETL engines and scripting languages (e.g., Python) to ensure a seamless transition from legacy systems.</li><li>Integrate spatial data and connectivity features to enhance overall system usability.</li><li>Deliver end-user training sessions and develop comprehensive documentation for client reference.</li><li>Provide on-site and remote support during system go-live phases to ensure a smooth transition.</li><li>Travel periodically to client locations to assist with implementation and training.</li><li>Stay up to date on security and privacy policies and report any incidents according to company procedures.</li><li>Collaborate with internal teams to ensure clients receive ongoing support after initial implementation.</li></ul><p><br></p>
<p>Job Summary:</p><p><br></p><p>We are seeking a skilled and motivated System Engineer to join our team in New York City. As a System Engineer, you will be responsible for maintaining and optimizing our IT infrastructure, ensuring the smooth operation of our systems, and providing technical support to end-users. The ideal candidate should have 5+ years of experience in system administration, with a strong focus on Azure, Windows, Active Directory, VMware, Barracuda Backups Appliance, SAN Nimble storage, and MFT/SFTP technologies.</p><p><br></p><p><br></p><p><br></p><p>Responsibilities:</p><p><br></p><p>Manage and maintain the company's IT infrastructure, including servers, storage systems, network devices, and related components.</p><p>Monitor and troubleshoot system performance, ensuring high availability and reliability of all systems.</p><p>Configure and administer Azure cloud services, including virtual machines, storage, networking, and security.</p><p>Oversee the Windows server environment, including installation, configuration, and maintenance of servers and services.</p><p>Manage Active Directory, including user accounts, group policies, security permissions, and domain services.</p><p>Perform virtualization tasks using VMware, including server provisioning, virtual machine management, and troubleshooting.</p><p>Administer and monitor Barracuda Backups Appliance for data backup and recovery operations.</p><p>Maintain and support SAN Nimble storage systems, ensuring optimal performance and availability.</p><p>Collaborate with cross-functional teams to implement and maintain secure file transfer protocols (MFT) and secure file transfer protocol (SFTP) solutions.</p><p>Perform system upgrades, patches, and security updates in accordance with industry best practices.</p><p>Provide technical support to end-users, resolving issues related to hardware, software, and network connectivity.</p><p>Create and maintain documentation related to system configurations, procedures, and troubleshooting guides.</p><p><br></p><p><br></p><p><br></p>
<p>Robert Half is seeking a Systems Engineer with knowledge of Modern Microsoft toolsets and best practices with knowledge of Windows Server/ Active Directory,, 0365, Cloud (AWS), DevOps</p><p><br></p><p>The System Engineer supports the design, implementation, and administration of enterprise infrastructure across both on-premises and cloud environments. Responsible for a mix of Microsoft-based systems, virtual infrastructure, AWS-hosted services, backups, monitoring, and automation—ensuring stable, secure, and efficient operations.</p><p>As we modernize our technology platforms, this role helps bridge traditional systems administration with cloud-native operations, contributing to infrastructure solutions that enhance reliability, compliance, and service delivery.</p><p>Essential Functions</p><p>•Support and maintain Windows Server environments (2016-2022), including Active Directory, DNS, DHCP, and Group Policy.</p><p>•Manage Microsoft 365 services such as Exchange Online, SharePoint, Teams, and Intune endpoint management.</p><p>•Maintain Microsoft Entra ID (Azure AD) and Entra Connect to support secure hybrid identity and authentication management.</p><p>•Provision and manage AWS services including EC2, RDS, S3, IAM, and VPCs, following best practices for cost, security, and resilience.</p><p>•Automate infrastructure deployment and management using Terraform, AWS CloudFormation, and PowerShell scripting.</p><p>•Support hybrid workloads and infrastructure-as-code practices aligned with DevOps principles.</p><p>•Administer VMware and/or Hyper-V environments, ensuring effective capacity planning, resource optimization, and snapshot management.</p><p>•Perform lifecycle support for physical servers, SAN/NAS storage, UPS systems, and datacenter equipment.</p><p>•Coordinate server patching, hardware upgrades, and system migrations with minimal business disruption.</p><p>•Use Datadog to monitor system and application performance, configure dashboards and alerts, and conduct performance tuning.</p><p>•Ensure infrastructure complies with internal security policies and external regulatory standards (FFIEC, NCUA, GLBA).</p><p>•Support vulnerability remediation efforts, access control management, and audit response processes.</p><p>•Administer backup and recovery solutions using Rubrik and AWS native services such as AWS Backup and EBS/RDS Snapshots.</p><p>•Test, document, and support business continuity plans for both on-prem and cloud-hosted workloads.</p><p>•Serve as Tier-3 support for infrastructure and cloud-related issues escalated by the help desk or project teams.</p><p>•Collaborate with engineers, application owners, and vendors to implement secure, scalable infrastructure solutions.</p><p>•Contribute to system documentation, SOPs, and architecture diagrams to support operational consistency and knowledge sharing.</p><p>•Understands system interdependencies and how infrastructure impacts broader IT services and business outcomes; proactively identifies and addresses potential risks or gaps.</p><p>•Other duties as assigned.</p><p><br></p><p><br></p>
<p>**** For Faster response on the position, please send a message to Jimmy Escobar on LinkedIn or send an email to Jimmy.Escobar@roberthalf(.com) with your resume. You can also call my office number at 424-270-9193****</p><p><br></p><p>We are looking for a skilled Data Engineer to join our team on a long-term contract basis in Los Angeles, California. In this role, you will design, build, and maintain robust data infrastructure to support business operations and analytics. This position offers an opportunity to work with cutting-edge technologies and contribute to impactful projects. This position is a hybrid that is 3 days a week on-site and 2 days remote.</p><p><br></p><p>Responsibilities:</p><p>• Develop and implement scalable data pipelines using Apache Spark, Hadoop, and other big data technologies.</p><p>• Collaborate with cross-functional teams to understand and translate business requirements into technical solutions.</p><p>• Create and maintain ETL processes to ensure data integrity and accessibility.</p><p>• Manage and monitor large-scale data processing systems, ensuring seamless operation.</p><p>• Design and deploy solutions for real-time data streaming using Apache Kafka.</p><p>• Perform advanced data analytics to support business decision-making.</p><p>• Troubleshoot and resolve issues related to data infrastructure and applications.</p><p><br></p>
<p><strong>Data Engineer (Contract) – St. Louis, MO</strong></p><p><strong>Overview:</strong></p><p>Our company is seeking an experienced Data Engineer to join our team for a contract engagement in St. Louis, MO. As a Data Engineer, you will play a critical role in designing, building, and maintaining robust data pipelines and architectures to support advanced analytics and business intelligence initiatives.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Develop, construct, test, and maintain scalable data architectures and data pipelines.</li><li>Integrate data from diverse sources (structured and unstructured) for analytics and reporting.</li><li>Optimize database performance and ensure data quality.</li><li>Implement data security, privacy standards, and compliance protocols.</li><li>Collaborate with data scientists, analysts, and business stakeholders to gather requirements and deliver effective data solutions.</li><li>Troubleshoot and resolve data-related issues and bottlenecks.</li><li>Automate data ingestion and transformation processes.</li><li>Support ongoing data management, documentation, and best practices.</li></ul>
<p>We’re seeking a Data Engineer to build and maintain scalable data pipelines that power analytics, reporting, and machine learning across the organization. You’ll turn raw data into clean, reliable, and accessible datasets that drive business decisions.</p><p>What You’ll Do</p><ul><li>Design and maintain data warehouses and data lakes</li><li>Build ETL/ELT pipelines integrating data from multiple systems</li><li>Optimize performance for large-scale datasets</li><li>Ensure data quality, security, and governance</li><li>Collaborate with analysts and ML teams to create analytics-ready datasets</li><li>Automate workflows and monitoring</li></ul><p><br></p>
<p>Robert Half is building a proactive pipeline of IT Infrastructure Engineers to support client initiatives related to modernization, scalability, security, and reliability of core systems.</p><p><br></p><p><strong>What our clients typically need:</strong></p><ul><li>Support and enhancement of server, storage, and virtualization environments</li><li>Participation in infrastructure upgrades, migrations, and hardware refreshes</li><li>Monitoring system performance, capacity, and availability</li><li>Collaboration with security and cloud teams on access, patching, and compliance initiatives</li><li>Troubleshooting complex infrastructure issues and documenting solutions</li></ul>
We are looking for an experienced Senior Software Engineer to join our team in Lisle, Illinois. In this role, you will lead the development of robust infrastructure systems and collaborate with interdisciplinary teams to deliver innovative software solutions. This position offers the opportunity to design secure systems while driving operational stability and quality.<br><br>Responsibilities:<br>• Lead the design and implementation of secure and scalable RESTful infrastructure systems.<br>• Collaborate with diverse teams, including front-end developers, designers, and product specialists, to create high-quality software solutions.<br>• Develop authentication, authorization, and identity management systems using industry-standard protocols.<br>• Create detailed documentation, including architectural diagrams and technical specifications, for infrastructure and system processes.<br>• Perform thorough code reviews to ensure adherence to quality standards and maintainability.<br>• Architect solutions with a focus on scalability, modularity, and extensibility.<br>• Maintain operational stability by monitoring system performance and addressing issues proactively.
<p>We’re looking for an experienced Azure-focused Cloud Engineer to support a cloud environment undergoing meaningful transformation. This role is ideal for someone who enjoys hands-on execution, stabilizing systems, and cleaning up infrastructure while helping guide a platform through transition and modernization. If you thrive in environments where things are moving quickly, tickets matter, uptime is critical, and your work has immediate impact, this role will feel right at home.</p><p><br></p><p><strong>What You’ll Be Working On</strong></p><ul><li>Owning day-to-day Azure cloud operations, with a strong emphasis on reliability and performance</li><li>Supporting and resolving service requests and operational tickets across cloud and infrastructure environments</li><li>Leading Azure VM and legacy resource decommissioning efforts</li><li>Monitoring system health, uptime, and performance, and escalating issues proactively</li><li>Supporting hybrid and migration initiatives as workloads move into Azure</li><li>Partnering with internal IT teams during a transition to a new IT organization</li><li>Contributing to improved processes, documentation, and operational standards as the environment matures</li></ul>
<p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a <strong>Data Engineer (contract).</strong> In this role, you will support the continued growth of our technology and analytics capabilities. This role will focus on building, enhancing, and maintaining reliable data pipelines and infrastructure, ensuring high-quality data flows across the organization. This person will work closely with multiple teams to support data accessibility, performance, and scalability. <strong>This role is onsite in Austin, Tx. </strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and maintain robust data pipeline architectures.</li><li>Administer and configure enterprise pipeline orchestration tools (e.g., AWS Glue, Airflow, Fivetran).</li><li>Build and manage large, complex datasets to meet both technical and business requirements.</li><li>Identify opportunities to streamline internal processes, automate repetitive tasks, enhance data delivery, and scale data infrastructure.</li><li>Create systems and frameworks for efficient extraction, transformation, and loading of data from diverse sources using appropriate technologies.</li><li>Collaborate with stakeholders to troubleshoot data issues and support ongoing infrastructure needs.</li><li>Ensure data is protected and properly governed within the environment.</li><li>Partner with analytics teams to increase the usability and performance of data systems.</li><li>Develop and maintain processes for data transformation, metadata management, data dependencies, and workload optimization.</li><li>Maintain and evolve the organization’s data model.</li><li>Perform other related duties as assigned.</li></ul>
<p><strong>Data Engineer (Hybrid, Los Angeles)</strong></p><p><strong>Location:</strong> Los Angeles, California</p><p><strong>Compensation:</strong> $140,000 - $175,000 per year</p><p><strong>Work Environment:</strong> Hybrid, with onsite requirements</p><p>Are you passionate about crafting highly-scalable and performant data systems? Do you have expertise in Azure Databricks, Spark SQL, and real-time data pipelines? We are searching for a talented and motivated <strong>Data Engineer</strong> to join our team in Los Angeles. You'll work in a hybrid environment that combines onsite collaboration with the flexibility of remote work.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and implement data pipelines and ETL workflows using cutting-edge Azure technologies (e.g., Databricks, Synapse Analytics, Synapse Pipelines).</li><li>Manage and optimize big data processes, ensuring scalability, efficiency, and data accuracy.</li><li>Build and work with real-time data pipelines leveraging technologies such as Kafka, Event Hubs, and Spark Streaming.</li><li>Apply advanced skills in Python and Spark SQL to build data solutions for analytics and machine learning.</li><li>Collaborate with business analysts and stakeholders to implement impactful dashboards using Power BI.</li><li>Architect and support the seamless integration of diverse data sources into a central platform for analytics, reporting, and model serving via ML Flow.</li></ul><p><br></p>
<p>Senior Data Engineer – </p><p><strong>Salary:</strong> Up to $170,000 (DOE)</p><p><br></p><p>About the Role</p><p>We are seeking a <strong>Senior Data Engineer</strong> to help design, build, and scale our financial systems. In this role, you will work on high-impact data platforms that power dynamic pricing, forecasting, and machine learning–driven decision-making. You’ll collaborate closely with data scientists, product teams, and business stakeholders to deliver reliable, real-time, and analytics-ready data solutions.</p><p><br></p><p>What You’ll Do</p><ul><li>Design, build, and maintain scalable data pipelines on <strong>Azure</strong>, supporting both batch and real-time workloads</li><li>Develop and optimize data processing using <strong>Python, Spark, and Spark SQL</strong></li><li>Build and manage solutions in <strong>Azure Databricks</strong>, including <strong>MLflow</strong> and <strong>model serving</strong></li><li>Create and orchestrate data workflows using <strong>Azure Synapse Analytics and Synapse Pipelines</strong></li><li>Support analytics and reporting needs through curated datasets for <strong>Power BI</strong></li><li>Enable real-time data ingestion and processing using <strong>Kafka, Azure Event Hubs, and Spark Streaming</strong> (where applicable)</li><li>Partner with data science teams to productionize <strong>machine learning models</strong>, particularly for <strong>dynamic pricing and revenue optimization</strong></li><li>Ensure data quality, reliability, performance, and scalability across platforms</li><li>Mentor junior engineers and contribute to data engineering best practices and standards</li></ul><p>For immediate consideration, apply now and message Reid Gormly on LinkedIN today!</p>
<p>We are seeking a Data Governance & Data Quality Platform Engineer responsible for the technical administration, integration, and optimization of enterprise data governance and data quality tools such as Atlan and DQ Labs / Monte Carlo. This role ensures these platforms are scalable, secure, integrated across enterprise data ecosystems, and maintained for high availability and performance. The position also supports automation, data quality monitoring, and compliance reporting initiatives across the organization.</p><p><br></p><p>Key Responsibilities</p><p><br></p><p>1. Platform Engineering & Administration</p><ul><li>Configure and maintain Atlan for metadata management, lineage tracking, and governance workflows</li><li>Configure DQ Labs / data quality tools for data profiling, rule creation, and monitoring dashboards</li><li>Manage user roles, authentication, SSO, RBAC, and security settings across governance platforms</li></ul><p>2. Integration & Automation</p><ul><li>Develop and maintain integrations between data sources, databases, data lakes, and BI tools</li><li>Automate metadata ingestion and data quality checks using APIs, Python scripts, or ETL frameworks</li><li>Configure connectors for enterprise data and analytics platforms</li></ul><p>3. Performance, Scalability & Reliability</p><ul><li>Monitor system health and optimize performance across governance and data quality environments</li><li>Apply patches, updates, and troubleshoot technical issues as needed</li><li>Implement logging, alerting, and proactive monitoring across the platform ecosystem</li></ul><p>4. Technical Support & Issue Resolution</p><ul><li>Provide Tier 3 support for platform‑related issues</li><li>Debug integration failures and resolve configuration conflicts</li><li>Collaborate with vendors for advanced troubleshooting, feature requests, and roadmap alignment</li></ul><p>5. Security & Compliance</p><ul><li>Ensure platforms comply with security and data privacy standards (e.g., GDPR, CCPA)</li><li>Implement encryption, access controls, and audit logging</li><li>Support compliance reporting and risk assessments using platform governance features and data quality metrics</li></ul>
<p>we are seeking a <strong>Data Engineer</strong> to join its growing data team in West LA. This role is perfect for someone early in their data engineering career who wants to work with modern data stacks, cloud technologies, and high-impact analytics projects in a collaborative, fast-paced environment.</p><p><br></p><p> <strong>Compensation:</strong> $100–130K + 5% bonus (flexible for strong candidates)</p><p><br></p><p><strong>About the Role</strong></p><p>In this position, you’ll support the full data lifecycle—from ingesting and transforming raw data to building pipelines, reporting tools, and analytics infrastructure that empower teams across the business. You’ll work with Python, SQL, cloud platforms, ETL solutions, and visualization tools, contributing to the evolution of next-generation data systems supporting large-scale digital operations.</p><p><br></p><p><strong>What You'll Do</strong></p><ul><li>Build, maintain, and optimize ETL/ELT pipelines using tools such as Talend, SSIS, or Informatica</li><li>Work hands-on with cloud platforms (any cloud; GCP preferred) to support data workflows</li><li>Develop reports and dashboards using visualization tools (Looker, Tableau, Power BI, etc.)</li><li>Collaborate with product, analytics, and engineering teams to deliver reliable datasets and insights</li><li>Own data issues end-to-end — from collection and extraction to cleaning and validation</li><li>Support data architecture, pipeline resilience, and performance tuning</li><li>Assist in maintaining and scaling datasets, data models, and analytics environments</li><li>Contribute to real-time streaming initiatives (a plus)</li></ul><p><br></p>
<p>We’re seeking a dynamic Infrastructure Engineer to design, build, and maintain our critical IT infrastructure. You’ll ensure high availability, scalability, and security across servers, storage, and cloud systems. If you’re passionate about creating resilient systems and solving complex technical challenges, join us to power our technology backbone!</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design and deploy infrastructure solutions, including servers, virtualization, and storage systems.</li><li>Manage and optimize on-premises and cloud environments (e.g., AWS, Azure, VMware).</li><li>Automate provisioning, monitoring, and scaling using tools like Terraform or Ansible.</li><li>Troubleshoot and resolve issues impacting system performance or availability.</li><li>Implement security best practices, including patch management and access controls.</li><li>Collaborate with DevOps and application teams to support CI/CD pipelines.</li><li>Document infrastructure designs and maintain operational runbooks.</li></ul><p><br></p>
<p><br></p><p>We’re looking for a hands-on Data Engineer to build and scale cloud-native data platforms on Azure. You’ll design and maintain reliable ETL/ELT pipelines, enable governed cross-departmental data access, and collaborate closely with analytics and data science teams to power forecasting, predictive analytics, and executive reporting.</p><p>This role is ideal for someone who thrives at the intersection of modern data engineering (ADF, Spark, Databricks, SQL, Python), platform governance (Purview, RBAC), and analytics enablement (Power BI/Tableau, Microsoft Fabric).</p><p>What You’ll Do</p><ul><li>Build Scalable Pipelines: Design, implement, and maintain ETL/ELT pipelines using Azure Data Factory, Spark, Databricks, SQL, and Python for both transactional and bulk data loads.</li><li>Orchestration & Reliability: Implement scheduling, monitoring, alerting, and data quality checks to ensure reliable, observable pipelines and trustworthy datasets.</li><li>Azure Platform Ownership: Lead/advance Azure cloud adoption, integrating Azure DevOps, CI/CD, Infrastructure-as-Code, and Databricks to modernize data engineering workflows.</li><li>Analytics Enablement: Partner with data scientists and BI teams to deliver end-to-end solutions—from ingestion and normalization through model outputs and visualization in Power BI and Tableau.</li><li>AI/ML Collaboration: Productionize features and datasets for forecasting & predictive analytics, supporting models such as RNNs and generative AI workloads; contribute to MLOps best practices.</li><li>Microsoft Fabric & OneLake: Build governed, discoverable data products leveraging Microsoft Fabric, OneLake, and Spark notebooks.</li><li>Data Governance: Implement role-based access control and compliance with Microsoft Purview; standardize metadata, lineage, and data stewardship processes.</li><li>Performance & Cost Optimization: Continuously optimize pipelines, clusters, and storage patterns for performance, scalability, and cost efficiency.</li><li>Stakeholder Partnership: Work cross-functionally with engineering, security, and business stakeholders to prioritize backlogs and deliver measurable outcomes.</li></ul><p><br></p>
<p>Our client, a popular, local gaming and hospitality property in Las Vegas, is seeking an <strong>IT Applications Support Specialist</strong> to join their onsite technology team. This role serves as the escalation point from the Help Desk, supporting hotel, casino, and food & beverage operations with a focus on <strong>Micros POS systems, Aristocrat Gaming, and Oracle Fusion applications</strong>. You’ll collaborate cross-functionally with IT, Casino Operations, and vendor partners while delivering exceptional guest service in a fast-paced environment. This will be a short-term CTH role, and fully onsite on property. </p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Serve as the primary administrator for <strong>Micros POS</strong>, including configuration, deployment, programming, and maintenance.</li><li>Provide application support for <strong>Aristocrat Gaming, Oracle Fusion, Bartec, Lotus Notes, and Visual Basic</strong> systems.</li><li>Configure, deploy, and maintain IT hardware/software across hotel, casino, bar, and front-of-house operations.</li><li>Perform and monitor <strong>backups, restores, and system log reviews</strong> to ensure operational integrity.</li><li>Ensure compliance with <strong>Nevada Gaming Control Board regulations</strong> and company SOPs.</li><li>Partner with internal teams and vendors to resolve escalated issues while maintaining a high standard of guest service.</li><li>Cross-train and support other IT functions within the department.</li></ul><p><br></p>
<p>We are looking for a detail-oriented and skilled Systems Architect to join our client in the healthcare field. This is a Contract to permanent position where you will play a pivotal role in managing and executing IT infrastructure projects across multiple sites within a fast-paced healthcare environment. The ideal candidate will have extensive hands-on experience in IT systems engineering, network optimization, and hardware deployments, with a strong ability to coordinate technical tasks and deliverables across teams and vendors.</p><p><br></p><p>Responsibilities:</p><p>• Lead the implementation of IT infrastructure projects including network refreshes, hardware installations, and practice integrations.</p><p>• Oversee the technical readiness and deployment of systems for onboarding new healthcare practices.</p><p>• Coordinate with vendors and internal teams to ensure smooth execution of multi-site IT initiatives.</p><p>• Manage server installations, telecom configurations, and network setup for various locations.</p><p>• Collaborate with project analysts to align engineering deliverables with overall project timelines.</p><p>• Execute network and hardware upgrades at existing practice locations to optimize performance.</p><p>• Provide technical leadership during clinical and corporate IT system integrations.</p><p>• Document configurations, update technical processes, and improve deployment templates.</p><p>• Monitor task statuses, identify blockers, and allocate resources effectively.</p><p>• Contribute to team collaboration efforts and process improvements to enhance IT operations.</p>
<p>Join our dynamic technology team as a Site Reliability Engineer (SRE) or Platform Engineer, where you’ll play a central role in building, automating, and maintaining our modern infrastructure across both on-premise and cloud environments.</p><p><strong>Qualifications:</strong></p><ul><li>Bachelor’s degree in Computer Science, Engineering, or a related technical field. (Based on general knowledge)</li><li>3–5+ years of experience in SRE, Platform Engineering, or Systems Administration within fast-paced environments. (Based on general knowledge)</li><li>Strong Python scripting skills. (Based on general knowledge)</li><li>Deep hands-on experience with Kubernetes (deployment, management, troubleshooting); OpenShift experience is a plus. (Based on general knowledge)</li><li>Proficiency with Docker/Podman and internal image management. (Based on general knowledge)</li><li>Solid experience with Ansible and Terraform; Puppet knowledge is helpful. (Based on general knowledge)</li><li>Familiarity with CI/CD workflows; experience with ArgoCD (preferred) or Flux for GitOps. (Based on general knowledge)</li><li>Proficiency with Grafana and Prometheus; exposure to Grafana Cloud/Alloy is desirable. (Based on general knowledge)</li><li>Experience with incident management and on-call tools such as Rootly, Opsgenie, or PagerDuty. (Based on general knowledge)</li><li>Security-first mindset with exposure to DevSecOps practices, including SonarQube, SAST, and CVE scanning. (Based on general knowledge)</li><li>Proven experience with both on-premise and cloud infrastructure:</li><li><strong>On-Premise:</strong> Primary experience with Kubernetes clusters; familiarity with Proxmox is desirable.</li><li><strong>Cloud:</strong> AWS and GCP experience (with a growing footprint), managed via Terraform. (Based on general knowledge)</li></ul><p>If you’re passionate about automation, reliability, and working at the forefront of scalable infrastructure, we invite you to apply.</p>
<p>We are seeking a <strong>Senior Data Engineer</strong> to join a highly collaborative, hands-on team in West Hollywood. This is an on-site role for someone who enjoys building, owning, and evolving data platforms end-to-end. You’ll work closely with technical and non-technical stakeholders, take ownership of complex data challenges, and help drive cross-functional initiatives.</p><p>This role requires someone who is curious, independent, and comfortable rolling up their sleeves to solve foundational and ambiguous problems.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, build, and maintain scalable data pipelines using Python and SQL</li><li>Develop and manage cloud-based data infrastructure (GCP, AWS, or Azure)</li><li>Own data orchestration workflows (Prefect preferred; Airflow or Dagster experience is transferable)</li><li>Implement robust data modeling practices (dbt preferred; strong SQL foundations required)</li><li>Reconcile multiple data sources and establish master data management strategies</li><li>Partner with stakeholders to define requirements, track deliverables, and run cross-functional projects</li><li>Support containerized workloads and data services using Docker and Kubernetes</li><li>Evaluate and integrate low-code or no-code data syncing tools where appropriate</li></ul><p>What We’re Looking For</p><ul><li>Someone who takes ownership and can be “pointed at a problem” and run with it</li><li>A builder who enjoys both strategy and execution</li><li>A strong data engineering foundation with curiosity about modern AI-enabled architectures</li></ul><p>If you’re excited about building resilient data systems, collaborating cross-functionally, and pushing into AI-enhanced data platforms—this role offers the opportunity to make a meaningful impact from day one.</p><p><br></p><p>For immediate consideration, direct message Reid Gormly on LinkedIN and Apply Now!</p>
<p><strong>Data Engineer – CRM Integration (Hybrid in San Fernando Valley)</strong></p><p><strong>Location:</strong> San Fernando Valley (Hybrid – 3x per week onsite)</p><p><strong>Compensation:</strong> $140K–$170K annual base salary</p><p><strong>Job Type:</strong> Full Time, Permanent</p><p><strong>Overview:</strong></p><p>Join our growing technology team as a Data Engineer with a focus on CRM data integration. This permanent role will play a key part in supporting analytics and business intelligence across our organization. The position offers a collaborative hybrid environment and highly competitive compensation.</p><p><strong>Responsibilities:</strong></p><ul><li>Design, develop, and optimize data pipelines and workflows integrating multiple CRM systems (Salesforce, Dynamics, HubSpot, Netsuite, or similar).</li><li>Build and maintain scalable data architectures for analytics and reporting.</li><li>Manage and advance CRM data integrations, including real-time and batch processing solutions.</li><li>Deploy ML models, automate workflows, and support model serving using Azure Databricks (ML Flow experience preferred).</li><li>Utilize Azure Synapse Analytics & Pipelines for high-volume data management.</li><li>Write advanced Python and Spark SQL code for ETL, transformation, and analytics.</li><li>Collaborate with BI and analytics teams to deliver actionable insights using PowerBI.</li><li>Support streaming solutions with technologies like Kafka, Event Hubs, and Spark Streaming.</li></ul><p><br></p>
