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2 results for Qa Software Tester in Houston, TX

Data Engineer I
  • Houston, TX
  • remote
  • Temporary / Contract
  • 39.00 - 44.00 USD / Hourly
  • <p>Data Automation Engineer – Azure / AI / Data Platforms</p><p>Clearance Requirement: ability to obtain Public Trust</p><p><br></p><p>Position Overview</p><p>We are seeking a highly motivated Data Automation Engineer to design and implement modern, AI‑driven data solutions within a Microsoft Azure-based analytics ecosystem. This role focuses on building scalable pipelines, automating workflows, and integrating advanced analytics and AI capabilities across enterprise data platforms.</p><p>The ideal candidate brings strong experience in Azure data services, ETL pipeline development, and automation, along with a delivery-focused mindset and the ability to translate complex business requirements into technical solutions. This role supports mission-critical environments and requires eligibility for a Public Trust clearance.</p><p><br></p><p>Key Responsibilities</p><p>Data Engineering & Pipeline Development</p><ul><li>Design and implement data pipelines using Azure Data Factory, Synapse, Spark, SQL, and Python</li><li>Build and maintain ETL/ELT workflows across structured and unstructured data sources</li><li>Support data ingestion, transformation, and integration for enterprise analytics platforms</li></ul><p>Automation & AI Integration</p><ul><li>Develop automation solutions to improve efficiency, scalability, and reliability of data workflows</li><li>Research and implement AI/ML and Generative AI tools to enhance data processing and insights</li><li>Eliminate bottlenecks through intelligent automation and workflow optimization</li></ul><p>Data Quality, Governance & Performance</p><ul><li>Implement data quality, integrity, and metadata management practices</li><li>Monitor and troubleshoot pipelines to ensure high availability and performance</li><li>Perform performance testing, tuning (query optimization, indexing), and pipeline benchmarking</li></ul><p>Collaboration & Delivery</p><ul><li>Partner with engineering, DevOps, and business stakeholders to develop solutions</li><li>Participate in Agile/DevOps processes and continuous delivery cycles</li><li>Document pipeline performance, test results, and system improvements</li></ul>
  • 2026-06-11T19:58:40Z
Cloud Engineer
  • Houston, TX
  • onsite
  • Temporary / Contract
  • 61.75 - 71.50 USD / Hourly
  • We are looking for an experienced Cloud Engineer to support a service-focused organization in Houston, Texas through a Long-term Contract engagement. This position will provide senior-level infrastructure leadership across cloud, storage, and data center environments while guiding a small technical team and contributing to practical solution design. The ideal candidate brings strong technical judgment, communicates effectively with both internal users and stakeholders, and is comfortable operating in large, highly structured enterprise settings.<br><br>Responsibilities:<br>• Lead day-to-day technical direction for a small solutions-focused team supporting cloud engineering and enterprise storage operations.<br>• Design and recommend infrastructure approaches that align cloud capacity, storage needs, and data center capabilities with business priorities.<br>• Partner with business teams and project stakeholders to evaluate requirements and translate them into scalable, supportable technical solutions.<br>• Oversee cloud and storage environments, ensuring reliable performance, availability, and alignment with organizational standards.<br>• Provide hands-on engineering support across core Microsoft infrastructure, including identity, server, messaging, and virtualization-related technologies.<br>• Assist with escalated end-user and stakeholder discussions when technical issues require clear communication and strong problem-solving.<br>• Contribute expertise in complex enterprise environments where infrastructure decisions must account for operational scale and technical depth.<br>• Support hybrid work expectations by collaborating effectively with onsite and remote teams in a flexible schedule model.<br>• Offer input on emerging technologies, including AI-related capabilities, where they may add value to infrastructure strategy.
  • 2026-06-23T13:14:03Z