<p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a Database Administrator<strong> (contract).</strong> In this role, you will operate with limited supervision as part of an internal Data & Analytics team, supporting enterprise business intelligence initiatives that transform raw data into actionable insights for both internal and external stakeholders. The position is responsible for designing and delivering reporting solutions, including data modeling, data integration, metadata management, and the development of static, interactive, and subscription-based reports and dashboards. <strong>This role is hybrid in Austin, Tx. </strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design and maintain data infrastructure that enables secure access to curated data sets for approved users.</li><li>Identify and integrate internal and external data sources by collaborating with business and technical subject matter experts to understand data structures, usage needs, and reporting requirements.</li><li>Administer and support SQL Server environments, including database maintenance, performance tuning, upgrades, and issue resolution.</li><li>Contribute to the design, maintenance, and evolution of conceptual and logical enterprise data models supporting data warehouse, data mart, and OLAP solutions.</li><li>Develop and maintain database solutions to support data storage, retrieval, and analytics use cases.</li><li>Own and support the full data pipeline, from ingesting raw data through transformation and integration into data warehouses, operational data stores, and reporting platforms.</li><li>Lead or support data migrations from legacy platforms to modern data solutions.</li><li>Design, build, test, deploy, and maintain ETL/ELT pipelines across development and production environments, including requirements gathering, data analysis, validation, and release management.</li><li>Translate business needs into technical data and system requirements, ensuring alignment between business processes and analytics solutions.</li><li>Partner with stakeholders to determine which data elements deliver the greatest business value and ensure those metrics are accurately represented in dashboards and reports.</li><li>Design and maintain presentation-layer objects that enable intuitive reporting and support self-service analytics through enterprise BI tools or connectors.</li><li>Perform ongoing database administration, including patching, upgrades, monitoring, and performance optimization.</li><li>Analyze business requirements independently or in collaboration with business systems or BI analysts and produce detailed technical specifications.</li><li>Act as a data subject matter expert, promoting data-driven decision-making and integrating analytics into existing or evolving business processes.</li></ul>
<p><strong>Database Administrator</strong></p><p>On-site | Austin, TX | Contract</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Install, configure, manage, and maintain database systems in on‑prem, cloud, or hybrid environments</li><li>Ensure database performance, availability, reliability, and scalability</li><li>Monitor databases and troubleshoot performance, capacity, and connectivity issues</li><li>Manage database security, user access, roles, and permissions</li><li>Perform database backups, restores, and disaster recovery planning</li><li>Optimize queries, indexes, and database structures for performance and efficiency</li><li>Apply patches, upgrades, and version updates with minimal downtime</li><li>Implement data integrity, consistency, and quality standards</li><li>Collaborate with developers, data engineers, and infrastructure teams to support applications</li><li>Create and maintain documentation for database configurations, procedures, and standards</li></ul>
<p>Data Engineer</p><p>On-site | Austin, TX | Contract</p><p><br></p><p>Robert Half is partnering with a financial services organization to hire a Data Engineer in Austin, TX. This contract opportunity is ideal for someone with 3 years of experience building and optimizing modern data pipelines and analytics environments. The role focuses on moving data across cloud-based platforms to support reliable reporting, stronger data visibility, and informed decision-making across the organization.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>• Build and maintain data pipelines that move information from data lake environments into structured warehouse and reporting platforms.</p><p>• Develop, schedule, and optimize ETL and ELT workflows using Matillion to support dependable data delivery.</p><p>• Design and manage Snowflake data models that improve accessibility, performance, and scalability for business users.</p><p>• Partner with analytics and reporting stakeholders to prepare datasets that support Tableau dashboards and visual insights.</p><p>• Monitor data processing jobs, troubleshoot failures, and resolve quality issues to maintain trusted data assets.</p><p>• Work within AWS-based environments to support secure, efficient, and scalable data integration processes.</p><p>• Collaborate with cross-functional teams to understand data needs and translate them into practical engineering solutions.</p>
<p><b>Data Analyst </b></p><p>On-site | Austin, TX | Contract</p><p><br></p><p><strong>Responsiblities:</strong></p><ul><li>Collect, analyze, and interpret large datasets to support business decision‑making</li><li>Develop, maintain, and automate reports, dashboards, and visualizations</li><li>Identify trends, patterns, and insights to drive data‑driven recommendations</li><li>Translate business requirements into clear analytical questions and solutions</li><li>Write and optimize SQL queries to extract and analyze data from multiple sources</li><li>Ensure data accuracy, consistency, and integrity across reports and dashboards</li><li>Partner with stakeholders across departments to understand reporting and analytics needs</li><li>Perform ad‑hoc analyses to support strategic initiatives and executive requests</li><li>Document data definitions, metrics, and reporting processes</li><li>Continuously improve data quality, reporting efficiency, and analytical processes</li></ul>