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5 results for Database Administrator in Houston, TX

Systems Administrator
  • Sugar Land, TX
  • onsite
  • Permanent / Full Time
  • 120000 - 140000 USD / Yearly
  • <p>We are seeking a Systems Administrator with experience managing enterprise infrastructure and leading cloud migration initiatives. This role will support on-premises and cloud environments while helping drive modernization efforts across the organization.</p><p>Responsibilities</p><ul><li>Administer Windows Server, Active Directory, Citrix, Exchange 2019, Exchange Online, file servers, and remote access solutions.</li><li>Support and maintain hybrid cloud environments.</li><li>Lead infrastructure and cloud migration projects from planning through implementation.</li><li>Develop and maintain disaster recovery and business continuity processes.</li><li>Perform system upgrades, patching, maintenance, and security remediation.</li><li>Monitor system performance, availability, and compliance.</li><li>Coordinate with vendors and internal IT teams to deliver infrastructure projects.</li><li>Provide occasional on-call support.</li></ul><p><br></p>
  • 2026-10-05T00:00:00Z
Data Engineer
  • Houston, TX
  • onsite
  • Permanent / Full Time
  • 110000 - 130000 USD / Yearly
  • We are looking for a Data Engineer to join our Data &amp; Analytics team in Houston, Texas, and help strengthen the reporting foundation that supports decisions across the business. In this role, you will shape data into reliable, business-ready models, develop scalable reporting structures, and work closely with teams such as Finance and Operations to turn complex rules into clear insights. This position blends technical data engineering with analytics-focused development, offering the opportunity to improve reporting quality, maintain dependable data flows, and contribute to ongoing enhancements in our analytics environment.<br><br>Responsibilities:<br>• Develop and maintain structured data models, including staging layers, reporting tables, and dimensional designs within the Azure-based data warehouse environment.<br>• Create and support Power BI semantic models, calculated measures, security configurations, dashboards, and reports used for operational and enterprise reporting.<br>• Monitor scheduled data workflows and dataset refresh activity, investigate processing issues, and resolve failures to keep reporting available and accurate.<br>• Adjust and enhance existing ETL and orchestration processes as business needs evolve, using tools such as Azure Data Factory and related Microsoft data platforms.<br>• Collaborate with stakeholders across functions to translate reporting needs, financial logic, and operational rules into dependable analytical solutions.<br>• Produce clear technical and business documentation covering model design, metric definitions, transformation logic, and data ownership.<br>• Apply and help refine development standards for naming, modeling approach, query design, and reporting structure to improve consistency and quality.<br>• Identify opportunities to streamline current data practices, improve performance, and introduce effective tools or methods that strengthen analytics capabilities.
  • 2026-10-05T00:00:00Z
Data Engineer - Lead
  • Houston, TX
  • onsite
  • Permanent / Full Time
  • 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.<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&#39;s data systems.
  • 2026-10-05T00:00:00Z
HPC Systems Administrator
  • Houston, TX
  • onsite
  • Permanent / Full Time
  • 100000 - 145000 USD / Yearly
  • We are looking for an HPC Systems Administrator to support and maintain a stable, secure, and high-performing computing environment in Houston, Texas. This role focuses on managing core Microsoft infrastructure, end-user systems, and platform technologies that enable daily business operations. The ideal candidate brings strong hands-on experience with server administration, directory services, virtualization and access tools, and hardware support, along with a proactive approach to system reliability and user service.<br><br>Responsibilities:<br>• Administer and support Windows-based server environments to ensure consistent performance, availability, and security across the organization.<br>• Manage Active Directory services, including user provisioning, group policy administration, access controls, and directory maintenance.<br>• Maintain and troubleshoot Windows 10 endpoint systems, resolving technical issues and improving the end-user computing experience.<br>• Configure, monitor, and support Dell infrastructure components, including hardware diagnostics, upgrades, and lifecycle maintenance.<br>• Oversee Citrix platforms and related remote access solutions to provide dependable application and desktop delivery.<br>• Assist with cloud-connected infrastructure and operational tasks involving AWS services where needed.<br>• Perform system patching, updates, backups, and routine health checks to reduce downtime and strengthen platform stability.<br>• Document configurations, support procedures, and technical changes while collaborating with internal teams to address operational needs.
  • 2026-10-26T00:00:00Z
Data Engineer - Python/Snowflake
  • Houston, TX
  • onsite
  • Permanent / Full Time
  • 110000 - 160000 USD / Yearly
  • <p>Join a growing data engineering team supporting mission-critical analytics and business operations within the <strong>energy, commodities trading, oil &amp; gas, or financial services sector</strong>. This role is focused on designing and supporting cloud-based data solutions using <strong>Python, Snowflake, and AWS</strong>, enabling scalable, reliable, and high-performance data platforms.</p><p>You will work closely with business stakeholders, analysts, and engineering teams to build production-grade data pipelines, modernize legacy data environments, and deliver trusted datasets that support operational and strategic decision-making.</p><p><br></p><p>Responsibilities</p><ul><li>Design, develop, and maintain scalable <strong>Python-based data pipelines</strong> that ingest, transform, and deliver data from internal and external sources.</li><li>Build and optimize data models within <strong>Snowflake</strong>, ensuring performance, scalability, and cost efficiency.</li><li>Develop ELT/ETL solutions leveraging cloud-native AWS services.</li><li>Create, monitor, and support batch and near real-time data integration workflows.</li><li>Work with structured, semi-structured, and time-series datasets from operational, trading, financial, and market data systems.</li><li>Modernize legacy data processes and migrate legacy database workloads into modern cloud architectures.</li><li>Implement data quality, reconciliation, monitoring, and alerting capabilities across the data platform.</li><li>Collaborate with analysts, traders, business users, and technology teams to deliver data solutions aligned with business objectives.</li><li>Participate in code reviews, testing, documentation, and deployment activities following engineering best practices.</li><li>Support production environments and troubleshoot data pipeline issues as needed.</li></ul><p><br></p><p><br></p><p><br></p>
  • 2026-10-05T00:00:00Z