GeorgiaTEK Systems Inc.

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Dallas, TX, lasting 12+ months with pay rate DOE. Key skills include ETL development, data quality, and collaboration. Experience with data platforms and AI/ML tools is a plus. U.S. work authorization required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 5, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Texas, United States
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Data Engineering #ML (Machine Learning) #Deployment #Data Ingestion #Base #Data Quality
Role description
Position: Data Engineer Location: Dallas, TX – On site Duration: 12+ months Rate: DOE U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time • Prospector Pro • C360 for CSMs • C360 for Agents • C360 for Executives • DataSphere They will be responsible for ensuring the stability, performance, and usability of these systems post-deployment, while also contributing to continuous improvement initiatives. A requirement is that we have the ability to hire after contract. Key Responsibilities: • Monitor and respond to team chats and ticketing systems to address support issues in real-time. • Troubleshoot and resolve issues related to: • New Data Ingestion • UI/UX Changes • Data Quality and Integrity • Adhoc Business Requests • Collaborate with cross-functional teams including the Campaign Lifecycle Management Team, Customer Success Managers, Officer Support Teams, and data teams to ensure timely resolution of issues. • Document each issue including the solution to contribute to knowledge base. • When bandwidth allows, provide support for the AI Agent Foundry initiative, contributing to the development and maintenance of AI-driven solutions. Qualifications: • Experience in developing robust ETLs and ensuring data quality • Strong analytical and problem-solving skills • Able to communicate with the business and technology teams • Very collaborative and coachable • Ability to pivot when needed • Experience with data platforms, ingestion pipelines, or UI/UX troubleshooting is a plus • Exposure to GenAI, AI/ML tools or platforms is a bonus