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7 results for Engineer in Houston, TX
- Houston, TX
- onsite
- Permanent
- 150000 - 180000 USD / Yearly
- Artificial Intelligence (AI) Engineer,Computer Vision,TensorFlow,Machine Learning,Detection,Artificial Intelligence (A
- 2026-03-13T00:00:00Z
- Houston, TX
- onsite
- Permanent
- 140000 - 180000 USD / Yearly
- <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>
- 2026-02-17T00:00:00Z
- Houston, TX
- onsite
- Permanent
- 150000 - 180000 USD / Yearly
- Data Engineer,Data Engineer,,Data Engineer,Data Engineer,,,Data Engineer,Data En
- 2026-03-13T00:00:00Z
- Houston, TX
- onsite
- Temporary
- 0 - 0 USD / Yearly
- <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>
- 2026-03-09T00:00:00Z
- Houston, TX
- onsite
- Temporary
- 0 - 0 USD / Yearly
- <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>
- 2026-03-09T00:00:00Z
- Houston, TX
- onsite
- Permanent
- 100000 - 130000 USD / Yearly
- 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.
- 2026-02-17T00:00:00Z
- Houston, TX
- onsite
- Permanent
- 140000 - 175000 USD / Yearly
- <p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced <strong>Machine Learning Engineer</strong> to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.</p><p>You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.</p><p>🔧 Core Responsibilities</p><ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on <strong>NLP</strong>, <strong>LLMs</strong>, and <strong>Generative AI</strong></li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul><p><br></p>
- 2026-02-15T00:00:00Z