<p>Architect and deliver modern data platform solutions with a strong emphasis on Databricks and contemporary cloud data technologies.</p><p>Build secure, scalable, and high‑performing data environments that enable analytics, reporting, and enterprise‑wide data initiatives.</p><p>Oversee and execute migrations from legacy relational databases into Databricks-based ecosystems.</p><p>Design and structure scalable data pipelines and foundational data infrastructure aligned with organizational goals.</p><p>Create and maintain ETL/ELT processes within Databricks to ensure efficient ingestion, transformation, and delivery of data.</p><p>Continuously refine and optimize data workflows to improve performance, stability, and data quality across all processes.</p><p>Manage end-to-end data transitions to ensure operational continuity with minimal business disruption.</p><p>Monitor Databricks workloads and optimize performance, scalability, and cost efficiency across compute and storage layers.</p><p>Partner with data engineers, scientists, analysts, and product stakeholders to gather requirements and build fit‑for‑purpose data solutions.</p><p>Establish and enforce data engineering best practices, development standards, and architectural guidelines.</p><p>Assess emerging tools and technologies to enhance pipeline efficiency, reliability, and automation capabilities.</p><p>Provide technical direction, guidance, and mentorship to junior engineers and team members.</p><p>Collaborate closely with DevOps and infrastructure teams to deploy, manage, and support data systems in production.</p><p>Ensure all data solutions meet compliance standards, organizational security policies, and regulatory obligations.</p><p>Work with enterprise architects and IT leadership to align data architecture with broader technology strategies and long-term roadmaps</p>
<p>As the Software Engineer, you will be responsible for designing and developing automated solutions and system integrations to optimize our business operations. You will be a key player in gathering requirements from non-technical stakeholders, translating them into technical specifications, and ensuring that the delivered solutions meet their needs. You will be responsible for fostering and maintaining strong relationships with stakeholders, ensuring they have confidence in the technology solutions that support their business processes. Your advanced skills in solution design, AWS, and programming languages will be critical to delivering scalable, reliable, and impactful solutions. </p><p><br></p><p><br></p><p>Automation Development: Design, develop, and oversee the maintenance of automation scripts and tools to streamline and optimize business processes.</p><p>Cloud Integration: Architect and manage integrations between various systems and AWS services, ensuring seamless data flow and system interoperability.</p><p>Solution Design: Architect scalable and reliable integration solutions that align with business requirements and technical constraints.</p><p>Testing & Validation: Oversee and participate in the testing of automation and integration solutions to ensure functionality, reliability, and security.</p><p>Documentation: Maintain detailed documentation of automation processes, integration workflows, and system configurations.</p><p>Continuous Improvement: Lead efforts to identify opportunities for process improvements, proposing and implementing innovative automation solutions across the organization.</p><p>Support & Troubleshooting: Provide high-level support for existing automation and integration solutions, troubleshooting issues, and implementing fixes as necessary.</p><p><br></p><p><br></p><p><br></p>
<p>We are seeking a <strong>hands-on technical manager</strong> to lead and actively contribute to the design, implementation, and operation of enterprise IT infrastructure. This role combines leadership with deep technical expertise, focusing on <strong>data center technologies, networking, virtualization, and cloud platforms</strong> to ensure reliability, performance, and security across hybrid environments.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Act as a <strong>technical lead</strong>, actively configuring, troubleshooting, and optimizing infrastructure systems.</li><li>Manage and participate in the administration of <strong>data center technologies</strong>, including servers, storage, and <strong>VMware virtualization</strong>.</li><li>Design and maintain <strong>enterprise networking solutions</strong>, including <strong>SD-WAN</strong>, network segmentation, and advanced security practices.</li><li>Lead <strong>cloud architecture and migration projects</strong>, with hands-on experience in <strong>Azure</strong> and hybrid cloud environments.</li><li>Implement and manage <strong>Infrastructure as Code (IaC)</strong> and <strong>DevOps practices</strong> for automation and scalability.</li><li>Ensure operational excellence, cybersecurity resilience, and compliance with industry standards.</li><li>Collaborate with cross-functional teams to deliver secure, reliable, and cost-effective technology solutions.</li><li>Mentor and guide team members while remaining actively involved in technical execution.</li></ul><p><br></p>
We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions.<br><br>Responsibilities:<br>• Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka.<br>• Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake.<br>• Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers.<br>• Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs.<br>• Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency.<br>• Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams.<br>• Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R.<br>• Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments.<br>• Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability.<br>• Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
<p><strong>Full Stack Python Developer</strong></p><p>We are looking for a talented <strong>Full Stack Python Developer</strong> to join our team in <strong>Houston, Texas</strong>. In this role, you will collaborate with technical and non-technical stakeholders to design and develop innovative applications that support global commercial and operational functions. This position offers an exciting opportunity to create impactful solutions that enhance decision-making and optimize processes.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Design, develop, and maintain full-stack applications using <strong>Python</strong>, <strong>React</strong>, and <strong>C#</strong>.</li><li>Rapidly prototype and iterate on solutions based on user feedback.</li><li>Analyze business requirements and manage project lifecycles independently.</li><li>Collaborate with cross-functional teams to identify opportunities for innovation.</li><li>Optimize and maintain relational databases such as <strong>PostgreSQL</strong> or <strong>Oracle</strong>.</li><li>Develop APIs and integrate existing tools and platforms to enhance system capabilities.</li><li>Stay current with advancements in Python, React, and related technologies.</li><li>Provide technical expertise and support to commercial teams.</li><li>Troubleshoot and resolve issues within existing applications.</li></ul><p><br></p><p><br></p>
<p><br></p><p>Software Platform Engineer will design, build, and maintain a core Data & Machine Learning platform.</p><p><br></p><p>Platform Development: Design and implement new features for our AWS and Databricks-based platform, staying current with industry trends and advancements in AI. Core Component Implementation: Test and integrate central platform components that support our technology stack and serve tenants across the organization. Collaboration: Partner with other engineering teams to identify and deliver platform enhancements that solve specific business problems. Maintain Excellence: Uphold strict security protocols, compliance controls, and architectural principles in all aspects of your work.</p><p><br></p><p><br></p>
<p>We are seeking a skilled <strong>Azure Data Engineer</strong> to design, build, and maintain scalable data solutions on the Microsoft Azure platform. The ideal candidate will have strong experience developing data pipelines, optimizing data architectures, and supporting analytics and business intelligence initiatives. This role will work closely with data analysts, data scientists, and business stakeholders to ensure reliable, high-quality data is available for reporting and advanced analytics.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain <strong>scalable data pipelines and ETL/ELT processes</strong> using Azure data services.</li><li>Build and manage data solutions using tools such as <strong>Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure Databricks</strong>.</li><li>Develop and optimize <strong>data models, transformations, and storage strategies</strong> for large-scale structured and unstructured datasets.</li><li>Ensure <strong>data quality, integrity, and security</strong> across the data platform.</li><li>Monitor and troubleshoot data workflows, pipeline failures, and performance issues.</li><li>Collaborate with data analysts, BI developers, and data scientists to deliver reliable datasets for reporting and analytics.</li><li>Implement <strong>data governance and best practices</strong> for data management and documentation.</li><li>Automate data processes and deployments using <strong>CI/CD pipelines and infrastructure-as-code practices</strong>.</li><li>Optimize cost and performance of Azure data services.</li><li>Stay current with new Azure features, tools, and industry best practices.</li></ul><p><br></p>
Robert Half is looking for an application developer who actively looks to find the creative solution to a problem. To be successful in this role, you should be passionate about developing new mobile platforms and consider yourself an authority on how they should be built. What you get to do every single day · Development and unit testing complex code for new improvements and to fix defects based on detailed specifications and conducts unit testing · Monitors software configuration changes to anticipate and address the impact of data reliability and user happiness issues · Code reviews · Develop and deliver communications to key partners in a highly collaborative environment
We are looking for an entry-level Software Engineer to join our dynamic team in Spring, Texas. This role offers an exciting opportunity to contribute to the development and enhancement of cutting-edge software applications. You will work closely with a collaborative team to design, implement, and maintain innovative solutions.<br><br>Responsibilities:<br>• Develop and maintain software applications using C# and .NET frameworks.<br>• Collaborate with team members to design and implement user-friendly features using React.js and JavaScript.<br>• Troubleshoot and resolve software issues to ensure optimal functionality.<br>• Participate in code reviews to uphold high-quality standards.<br>• Assist in testing and debugging applications to ensure reliability and performance.<br>• Create and update technical documentation for software projects.<br>• Implement improvements to existing systems based on user feedback.<br>• Stay updated on emerging technologies and industry trends to continuously enhance skills.
<p>Position Overview</p><p>We are seeking a talented <strong>Data Engineer</strong> with strong experience in <strong>Python, AWS, and Databricks</strong> to design and build scalable data pipelines and modern data platforms. The ideal candidate will help develop and maintain data infrastructure that supports analytics, machine learning, and business intelligence initiatives. This role requires hands-on experience working with large datasets, cloud-native architectures, and distributed data processing frameworks.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, build, and maintain <strong>scalable data pipelines and ETL/ELT workflows</strong> using Python and cloud technologies.</li><li>Develop and optimize data solutions using <strong>AWS services and Databricks</strong>.</li><li>Build and manage <strong>data lakes and data warehouses</strong> for structured and unstructured data.</li><li>Implement <strong>data transformation and processing pipelines</strong> using Apache Spark within Databricks.</li><li>Integrate data from multiple sources including APIs, databases, and streaming systems.</li><li>Ensure <strong>data quality, governance, security, and compliance</strong> across the data platform.</li><li>Monitor pipeline performance and troubleshoot <strong>data pipeline failures or latency issues</strong>.</li><li>Collaborate with <strong>data analysts, data scientists, and business stakeholders</strong> to deliver reliable datasets.</li><li>Optimize storage and compute costs within the AWS ecosystem.</li><li><br></li></ul><p><br></p>
We are looking for a highly skilled Network Engineer to join our team in Houston, Texas. In this role, you will act as a senior-level expert, overseeing the design, configuration, and management of enterprise network systems. You will play a crucial part in ensuring seamless operations, providing advanced support, and enhancing security across our organization's network infrastructure.<br><br>Responsibilities:<br>• Design, configure, and deploy network infrastructure including routers, switches, wireless systems, load balancers, and other network devices.<br>• Conduct thorough analysis of network issues and deliver high-level response management to resolve complex problems.<br>• Implement and maintain redundancy and high availability across enterprise connectivity to ensure uninterrupted operations.<br>• Lead efforts to secure network platforms by addressing vulnerabilities and managing patching cycles for hardware and software.<br>• Develop and enforce configuration standards while creating detailed support documentation.<br>• Perform failover testing and ensure changes to network configurations align with change management protocols.<br>• Collaborate with cross-functional teams and customers to develop solutions and troubleshoot network problems.<br>• Provide mentorship to entry level team members and act as the final escalation point for network-related issues.<br>• Manage procurement, implementation, and support of public and private circuits for remote and local networks.<br>• Utilize expert knowledge of firewalls, network segmentation, and monitoring tools to optimize network performance.
<p>Design, build, and enhance macOS storage drivers centered around SCSI protocols using Apple’s DriverKit framework.</p><p>Work closely with hardware engineering teams to interpret SCSI device specifications and develop drivers that integrate cleanly within the macOS ecosystem.</p><p>Implement core driver features such as command processing, data movement, fault handling, and performance tuning.</p><p>Diagnose and resolve driver‑level issues using macOS debugging utilities—including LLDB, Instruments, and system diagnostic tools.</p><p>Ensure all drivers meet Apple’s security guidelines, including sandboxing rules, entitlement requirements, and code‑signing standards.</p><p>Create and maintain comprehensive test plans, documentation, and validation procedures to support driver quality and long‑term reliability.</p><p>Participate in peer code reviews and enforce best practices to maintain consistent, high‑quality codebases.</p><p>Provide engineering support during integration, deployment, and post‑release production scenarios involving driver behavior or performance</p>
Robert Half is looking for an experienced database developer with a strong SQL Server background. In this role, you'll be working to design, build and develop a new server with the right database architecture. If you consider yourself an authority on writing SQL code and love developing new systems, this may be the position for you. What you get to do every single day · Design, code, and implement a SQL server for database management · Generate a database schema based on application related function and type of the data · Import existing data into the database · Build a method for storing future database data · Ensure internal quality control of data imported and ongoing analysis of data integrity · Ensure security and integrity of the database including scheduled backups · Provide documentation and training to database administrator. Provide training to other users as necessary