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2 results for Ai Engineer in Austin, TX

IT Technician
  • Austin, TX
  • onsite
  • Temporary
  • 23.78 - 32.77 USD / Hourly
  • <p><b>IT Technician</b></p><p><strong></strong>On-site | Austin, TX | Contract-to-Hire</p><p><br></p><ul><li>Install, configure, maintain, and support computer systems, hardware, and software</li><li>Provide technical support to end users for desktops, laptops, printers, mobile devices, and peripherals</li><li>Troubleshoot and resolve hardware, software, network, and connectivity issues</li><li>Set up and manage user accounts, permissions, and access (Active Directory / Azure AD)</li><li>Perform system updates, patches, and routine maintenance</li><li>Image, deploy, and replace workstations and equipment</li><li>Support Windows and/or macOS operating systems and common business applications</li><li>Document incidents, resolutions, and procedures in ticketing systems</li><li>Assist with network setup, cabling, and basic troubleshooting (LAN/WAN, Wi‑Fi)</li><li>Escalate complex issues to senior IT staff or specialized teams as needed</li></ul>
  • 2026-04-07T00:00:00Z
Data Engineer
  • Austin, TX
  • onsite
  • Temporary
  • 73.66 - 105 USD / Hourly
  • <p><strong>Data Engineer</strong></p><p>On-site | Austin, TX | Contract-to-Hire</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Design, build, and maintain scalable data pipelines and ETL/ELT processes</li><li>Develop and optimize data architectures for data lakes, warehouses, and analytics platforms</li><li>Ingest, transform, and integrate data from multiple sources (databases, APIs, streaming systems)</li><li>Ensure data quality, reliability, and performance across data systems</li><li>Collaborate with data scientists, analysts, and business stakeholders to support reporting and analytics needs</li><li>Optimize database performance, queries, and data storage strategies</li><li>Implement data governance, security, and compliance best practices</li><li>Automate data workflows and monitoring processes</li><li>Troubleshoot and resolve data pipeline failures and performance issues</li><li>Document data models, workflows, and technical processes</li></ul>
  • 2026-04-07T00:00:00Z