<p><strong>Key Responsibilities:</strong></p><ul><li>Design and implement <strong>scalable cloud storage solutions in AWS</strong>, with a strong focus on <strong>S3 bucket architecture, optimization, and governance</strong></li><li>Support and help lead a small solutions team (Cloud Engineering & Storage) while contributing hands-on to technical delivery</li><li>Partner with business units and project managers to <strong>gather storage and infrastructure requirements</strong>, translating them into scalable cloud solutions</li><li>Evaluate current <strong>data center and cloud environments</strong>, recommending improvements, migrations, and modernization strategies</li><li>Manage and optimize <strong>cloud storage platforms (including file/object storage systems such as FFX or similar technologies)</strong></li><li>Provide support for <strong>production environments</strong>, ensuring reliability, performance, and cost efficiency across storage platforms</li><li>Communicate effectively with both technical and non-technical stakeholders, including limited <strong>end-user interaction and support</strong></li></ul><p><br></p>
<p>We are looking for a highly skilled Network Engineer to join our team in Houston, Texas. In this Contract position, you will play a critical role in designing, managing, and optimizing network and telecommunications systems across a robust manufacturing environment. This is an exciting opportunity to leverage your expertise in network architecture, security, and troubleshooting while contributing to the reliability and efficiency of enterprise-wide IT operations.</p><p><br></p><p>Responsibilities:</p><p>• Design, implement, and manage secure and reliable network and telecommunications systems to support business and manufacturing operations.</p><p>• Oversee the installation, configuration, and maintenance of network components, including switches, routers, and firewalls.</p><p>• Monitor network performance to ensure high availability and resolve issues promptly to minimize downtime.</p><p>• Lead efforts to evaluate, deploy, and optimize new technologies that enhance the organization’s IT infrastructure.</p><p>• Manage network and telecom service providers, ensuring quality and cost-effectiveness in service delivery.</p><p>• Develop and enforce IT operations policies, procedures, and best practices to maintain a secure and efficient network environment.</p><p>• Collaborate with IT leadership to align network infrastructure with organizational goals and system requirements.</p><p>• Train and mentor entry level team members to strengthen the overall capabilities of the IT support team.</p><p>• Manage and execute projects using standard project planning methodologies to improve network and telecom systems.</p><p>• Ensure compliance with change management processes for all network and telecom-related updates.</p>
We are looking for a Data Engineer to support the design, development, and optimization of modern data solutions in Houston, Texas. This Long-term Contract position is ideal for someone who enjoys building reliable pipelines, working with large-scale datasets, and improving the flow of information across systems. The role offers the opportunity to contribute technical expertise in a collaborative environment focused on performance, scalability, and data quality.<br><br>Responsibilities:<br>• Build and maintain scalable data pipelines that collect, transform, and deliver data for analytics and operational use.<br>• Develop ETL processes that improve the accuracy, consistency, and availability of data across multiple sources.<br>• Use Python and Apache Spark to process large datasets efficiently and support advanced data engineering workflows.<br>• Work with Hadoop-based environments to manage distributed data processing and storage activities.<br>• Integrate streaming and messaging solutions using Apache Kafka to support timely data movement and event-driven processing.<br>• Monitor pipeline performance, troubleshoot failures, and implement enhancements that strengthen reliability and efficiency.<br>• Partner with technical and business stakeholders to understand data needs and translate them into practical engineering solutions.
<p>Position Overview</p><p>We are seeking a delivery‑focused Data Automation Engineer to design and implement innovative automation solutions across a Microsoft Azure‑based data analytics platform. This role partners closely with engineering teams and stakeholders to translate business requirements into scalable data engineering and AI‑enabled solutions.</p><p>The ideal candidate is hands‑on with Azure Data Factory, Synapse Pipelines, Apache Spark, Python, and SQL, and brings experience building reliable ETL pipelines across SQL and NoSQL environments. This role emphasizes performance optimization, automation, and proactive data quality within Agile DevOps delivery models.</p><p><br></p><p>Key Responsibilities</p><p>Data Engineering & Automation</p><ul><li>Develop high‑performance data pipelines using Azure Data Factory, Synapse Pipelines, Spark Notebooks, Python, and SQL.</li><li>Design ETL workflows supporting advanced analytics, reporting, and AI/ML use cases.</li><li>Implement data migration, integrity, quality, metadata, and security controls across pipelines.</li><li>Monitor, troubleshoot, and optimize pipelines for availability, scalability, and performance.</li></ul><p>Performance Testing & Optimization</p><ul><li>Execute ETL performance testing and validate load performance against benchmarks.</li><li>Analyze pipeline runtime, throughput, latency, and resource utilization.</li><li>Support tuning activities (e.g., query optimization, partitioning, indexing).</li><li>Validate data completeness and consistency after high‑volume processing.</li></ul><p>Platform Collaboration & DevOps Support</p><ul><li>Collaborate with DevOps and infrastructure teams to optimize compute, memory, and scaling.</li><li>Maintain versioning and configuration control across environments.</li><li>Support production, testing, development, and integration environments.</li><li>Actively participate in Agile delivery processes including Program Increment planning.</li></ul>