10 results for Cloud Engineer in Houston, TX

Cloud Adminstrator

Houston, TX
onsite
Permanent
80000 - 115000 USD / Yearly
We are looking for an experienced Cloud Administrator to oversee and enhance our cloud and hybrid infrastructure, ensuring optimal performance, security, and scalability. This role requires proactive management of enterprise systems and a hands-on approach to Azure-based technologies. You will play a critical role in implementing best practices, collaborating with teams, and driving innovation within our IT operations. Responsibilities: • Design, implement, and maintain robust Azure-based infrastructure, including virtual machines, networking, storage, and identity management. • Manage Azure Active Directory configurations, ensuring secure access and identity governance. • Optimize cloud resources to achieve maximum performance, scalability, and cost efficiency. • Implement and monitor security protocols across both cloud and on-premises environments. • Ensure compliance with industry standards while managing firewalls, VPNs, and endpoint security solutions. • Administer hybrid systems that integrate on-premises and Azure cloud infrastructures. • Troubleshoot and resolve complex infrastructure issues while monitoring system performance. • Develop and maintain automation scripts using tools such as PowerShell, Terraform, or Azure templates. • Collaborate with DevOps teams to improve CI/CD pipelines and adopt cloud-native practices. • Mentor less experienced team members, contribute to strategic IT planning, and support disaster recovery initiatives.
2026-02-17T00:00:00Z

Data Engineer

Houston, TX
onsite
Permanent
120000 - 160000 USD / Yearly
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2026-03-03T00:00:00Z

Platform/Software Engineer

Houston, TX
onsite
Permanent
140000 - 180000 USD / Yearly
Software Platform Engineer will design, build, and maintain a core Data & Machine Learning platform. 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.
2026-02-17T00:00:00Z

Network Architect

Spring, TX
onsite
Permanent
140000 - 155000 USD / Yearly
We are looking for an experienced Network Architect to design and implement advanced infrastructure solutions tailored to meet organizational needs. This role requires expertise in system architecture, cloud-based platforms, and secure network operations to support business-critical applications. Join our team in The Woodlands, Texas, where you will help shape and optimize the backbone of our technology systems. Responsibilities: • Develop and implement robust network architectures that align with business objectives. • Collaborate with stakeholders to identify and integrate solutions for identity and access management (IAM). • Design and oversee API development processes to ensure seamless system interoperability. • Lead efforts in configuring and managing Amazon EC2 instances for scalable cloud operations. • Optimize application architecture to enhance performance and security across platforms. • Provide technical guidance for Snowflake integration and ensure efficient data warehousing. • Monitor and troubleshoot network performance to maintain high availability and reliability. • Establish and enforce security protocols to safeguard critical systems and data. • Conduct regular evaluations of infrastructure to identify areas for improvement. • Document processes and provide training to ensure effective knowledge transfer.
2026-02-10T00:00:00Z

Network Engineer Mid Level

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. Responsibilities: • Design, configure, and deploy network infrastructure including routers, switches, wireless systems, load balancers, and other network devices. • Conduct thorough analysis of network issues and deliver high-level response management to resolve complex problems. • Implement and maintain redundancy and high availability across enterprise connectivity to ensure uninterrupted operations. • Lead efforts to secure network platforms by addressing vulnerabilities and managing patching cycles for hardware and software. • Develop and enforce configuration standards while creating detailed support documentation. • Perform failover testing and ensure changes to network configurations align with change management protocols. • Collaborate with cross-functional teams and customers to develop solutions and troubleshoot network problems. • Provide mentorship to entry level team members and act as the final escalation point for network-related issues. • Manage procurement, implementation, and support of public and private circuits for remote and local networks. • Utilize expert knowledge of firewalls, network segmentation, and monitoring tools to optimize network performance.
2026-02-17T00:00:00Z

Senior Data Engineer

Houston, TX
onsite
Temporary
0 - 0 USD / Yearly
Architect and deliver modern data platform solutions with a strong emphasis on Databricks and contemporary cloud data technologies.Build secure, scalable, and high‑performing data environments that enable analytics, reporting, and enterprise‑wide data initiatives.Oversee and execute migrations from legacy relational databases into Databricks-based ecosystems.Design and structure scalable data pipelines and foundational data infrastructure aligned with organizational goals.Create and maintain ETL/ELT processes within Databricks to ensure efficient ingestion, transformation, and delivery of data.Continuously refine and optimize data workflows to improve performance, stability, and data quality across all processes.Manage end-to-end data transitions to ensure operational continuity with minimal business disruption.Monitor Databricks workloads and optimize performance, scalability, and cost efficiency across compute and storage layers.Partner with data engineers, scientists, analysts, and product stakeholders to gather requirements and build fit‑for‑purpose data solutions.Establish and enforce data engineering best practices, development standards, and architectural guidelines.Assess emerging tools and technologies to enhance pipeline efficiency, reliability, and automation capabilities.Provide technical direction, guidance, and mentorship to junior engineers and team members.Collaborate closely with DevOps and infrastructure teams to deploy, manage, and support data systems in production.Ensure all data solutions meet compliance standards, organizational security policies, and regulatory obligations.Work with enterprise architects and IT leadership to align data architecture with broader technology strategies and long-term roadmaps
2026-03-01T00:00:00Z

Data Engineer - Lead

Houston, TX
onsite
Permanent
175000 - 225000 USD / Yearly
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. Responsibilities: • Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka. • Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake. • Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers. • Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs. • Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency. • Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams. • Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R. • Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments. • Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability. • Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
2026-02-17T00:00:00Z

Data Engineer - Python

Houston, TX
onsite
Permanent
110000 - 160000 USD / Yearly
We are seeking a talented and motivated Python Data Engineer to join our global team. In this role, you will be instrumental in expanding and optimizing our data assets to enhance analytical capabilities across the organization. You will collaborate closely with traders, analysts, researchers, and data scientists to gather requirements and deliver scalable data solutions that support critical business functions. Responsibilities<ul><li>Develop modular and reusable Python components to connect external data sources with internal systems and databases.</li><li>Work directly with business stakeholders to translate analytical requirements into technical implementations.</li><li>Ensure the integrity and maintainability of the central Python codebase by adhering to existing design standards and best practices.</li><li>Maintain and improve the in-house Python ETL toolkit, contributing to the standardization and consolidation of data engineering workflows.</li><li>Partner with global team members to ensure efficient coordination and delivery.</li><li>Actively participate in internal Python development community and support ongoing business development initiatives with technical expertise.</li></ul>
2026-02-15T00:00:00Z

Senior Machine Learning Engineer

Houston, TX
onsite
Permanent
140000 - 175000 USD / Yearly
As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced Machine Learning Engineer 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.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.🔧 Core Responsibilities<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 NLP, LLMs, and Generative AI</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>
2026-02-15T00:00:00Z

Data Governance & Data Quality Platform Engineer

Houston, TX
onsite
Temporary
57 - 62 USD / Hourly
Position OverviewWe are seeking a Data Governance & Data Quality Platform Engineer to own the technical administration, integration, and optimization of enterprise data governance and data quality platforms (e.g., Atlan, Monte Carlo). This role ensures governance and quality tools are scalable, securely integrated into the enterprise data ecosystem, and maintained for high availability and performance.The ideal candidate brings strong platform engineering skills, experience automating data quality and metadata workflows, and a solid understanding of governance, compliance, and modern data architectures.Key Responsibilities 1. Platform Engineering & Administration<ul><li>Configure and maintain data governance platforms for metadata management, data lineage, and governance workflows</li><li>Configure data quality tools for profiling, rule creation, and monitoring dashboards</li><li>Manage platform security, including user roles, authentication, SSO, RBAC, and access controls</li></ul>e2. Integration & Automation<ul><li>Develop and maintain integrations across 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 and maintain connectors for analytics and reporting platforms</li></ul> 3. Performance, Reliability & Monitoring<ul><li>Monitor platform health and optimize performance and scalability</li><li>Apply upgrades, patches, and troubleshoot technical issues</li><li>Implement logging, alerting, and proactive monitoring for governance and data quality environments</li></ul>a4. Technical Support & Issue Resolution<ul><li>Provide Tier 3 support for platform‑related incidents and escalations</li><li>Debug integration failures and resolve configuration conflicts</li><li>Collaborate with vendors for advanced troubleshooting and roadmap alignment</li></ul>r5. Security, Compliance & Risk Management<ul><li>Ensure platforms comply with data privacy and security standards (e.g., GDPR, CCPA)</li><li>Implement encryption, audit logging, and access controls</li><li>Support compliance reporting and risk assessments using governance and data quality metrics</li></ul>
2026-02-27T00:00:00Z