<p><strong>Overview</strong></p><p> We are seeking a <strong>Database Administrator (DBA)</strong> to manage, maintain, and optimize our SQL Server database environments. This role will be responsible for ensuring the performance, reliability, and security of enterprise databases while supporting development, reporting, and operational systems. The ideal candidate has strong experience with <strong>SQL Server administration, performance tuning, and database maintenance</strong>, and is comfortable working with cross-functional teams to support data-driven applications.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Administer, monitor, and maintain <strong>SQL Server database environments</strong> to ensure performance, availability, and reliability.</li><li>Manage database installations, configurations, upgrades, and patching.</li><li>Perform <strong>database performance tuning and query optimization</strong>.</li><li>Implement and maintain <strong>backup, recovery, and disaster recovery strategies</strong>.</li><li>Monitor database health, storage capacity, and system performance.</li><li>Support <strong>database security</strong>, including user access, permissions, and data protection.</li><li>Work with development and analytics teams to support database design and data access needs.</li><li>Troubleshoot and resolve database-related issues in a timely manner.</li><li>Assist with <strong>database migrations, upgrades, and system integrations</strong>.</li><li>Maintain documentation for database architecture, standards, and operational procedures.</li></ul><p><br></p>
Robert Half is looking for a database administrator who loves the challenge of solving problems with multiple layers of complexity. If you are an efficient problem solver with highly tuned decision making skills, this may be the position for you. What you get to do every single day · Install, configure, and maintain all SQL Server instances across development, staging, and production environments · Ensure database server topology, configuration, and maintenance are designed and executed to meet SLA objectives · Advise on database design, tuning options, and other potential issues · Fix SQL Server service outages as they occur, including after hours and weekends · Configure SQL Server monitoring utilities to minimize false alarms · Baseline system performance and monitor for deviation, recommending and implementing improvements to slow running queries · When performance issues arise, you'll figure out the most effective way to increase performance including hardware purchases, server configuration changes, or index/query changes
Robert Half is looking for an experienced database developer with a strong SQL Server background. In this role, you'll be working to design, build and develop a new server with the right database architecture. If you consider yourself an authority on writing SQL code and love developing new systems, this may be the position for you. What you get to do every single day · Design, code, and implement a SQL server for database management · Generate a database schema based on application related function and type of the data · Import existing data into the database · Build a method for storing future database data · Ensure internal quality control of data imported and ongoing analysis of data integrity · Ensure security and integrity of the database including scheduled backups · Provide documentation and training to database administrator. Provide training to other users as necessary
<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>
<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>
<p>We are looking for a highly skilled Remote Oracle Cloud Database Administrator to join our team in Texas, must be able to go onsite in Houston or Dallas market. In this role, you will be responsible for managing, securing, and optimizing Oracle Exadata systems across on-premises and cloud environments. Your expertise in database architecture, advanced security measures, and performance tuning will ensure the seamless operation and protection of mission-critical systems.</p><p><br></p><p>Responsibilities:</p><p>• Manage and maintain Oracle Exadata systems, including storage, compute nodes, and networks across both on-premises and cloud environments.</p><p>• Implement advanced security protocols such as encryption, access controls, and auditing to safeguard database environments.</p><p>• Perform installations, configurations, patching, and upgrades of Exadata software and firmware with minimal disruption.</p><p>• Monitor database performance, identify and resolve issues proactively, and optimize systems for peak efficiency.</p><p>• Develop and execute comprehensive backup and recovery plans to support business continuity and disaster recovery.</p><p>• Collaborate with cross-functional teams to address database-related requirements while ensuring compliance and security standards.</p><p>• Automate routine database administration and security processes using scripting languages to enhance efficiency.</p><p>• Participate in capacity planning and disaster recovery exercises, focusing on secure architecture and compliance.</p><p>• Provide 24/7 production support, including handling urgent incidents related to database performance or security.</p>
<p>Position Overview</p><p>We 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.</p><p>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.</p><p>Key Responsibilities</p><p><br></p><p>1. Platform Engineering & Administration</p><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><p>e2. Integration & Automation</p><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><p> 3. Performance, Reliability & Monitoring</p><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><p>a4. Technical Support & Issue Resolution</p><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><p>r5. Security, Compliance & Risk Management</p><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>
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's data systems.
We are looking for a skilled Systems Administrator to manage and maintain our organization’s server systems and infrastructure. This role requires expertise in ensuring system performance, security, and reliability across various platforms. Located in Sugar Land, Texas, this position offers the opportunity to contribute to critical IT projects and support business continuity initiatives.<br><br>Responsibilities:<br>• Provide daily support for servers, systems, and remote access, including Active Directory, Citrix, Microsoft environments, file servers, Exchange 2019, and hybrid configurations with Exchange Online.<br>• Coordinate and oversee IT projects, including planning, communication, and documentation of system changes.<br>• Collaborate with vendors to manage outsourced services and ensure project deliverables.<br>• Develop, implement, and maintain disaster recovery and business continuity processes, participating actively in related exercises.<br>• Work closely with network, systems, and applications teams to support server hardware, software, and applications.<br>• Ensure compliance with security policies and procedures, maintaining system integrity.<br>• Plan and execute preventive maintenance, including software and hardware upgrades, patch management, and firmware updates.<br>• Monitor and report on information security metrics, addressing vulnerabilities and compliance issues.<br>• Stay informed on changes in IT security regulations and industry developments.<br>• Provide occasional on-call support for infrastructure needs and travel as required.
<p>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.</p><p><br></p><p>Responsibilities</p><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>
We are looking for a skilled Data Engineer with expertise in AI/ML technologies and prior experience in the oil and gas industry to join our team in Houston, Texas. In this Contract to permanent position, you will play a key role in transforming data into actionable insights through advanced analytics and innovative solutions. This opportunity is ideal for professionals who thrive in data-driven environments and excel at leveraging tools like Power BI and PowerApps.<br><br>Responsibilities:<br>• Develop and manage Power BI dashboards and reports to deliver meaningful insights from raw data.<br>• Utilize PowerApps to create and maintain applications that support business intelligence initiatives.<br>• Collaborate with cross-functional teams to understand data requirements and implement solutions.<br>• Analyze complex datasets to identify trends and patterns that inform decision-making.<br>• Ensure the accuracy, reliability, and security of data within BI systems.<br>• Optimize data pipelines and workflows for improved performance and scalability.<br>• Provide technical expertise to support AI/ML integration into existing data processes.<br>• Stay updated on emerging technologies and best practices in data engineering and AI/ML.<br>• Troubleshoot and resolve issues related to data tools and processes.<br>• Document processes, workflows, and methodologies for future reference.