Data Engineer: ETL, Data Quality & AI Support

Cloud Analytics Technologies, LLC

Dallas (TX)

On-site

USD 100,000 - 150,000

Full time

21 hours ago
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Job summary

Cloud Analytics Technologies, LLC is seeking a Data Engineer focused on maintaining and improving data pipelines and analytics platforms in production. You will monitor, troubleshoot, and resolve data ingestion, UI/UX, and data quality issues while collaborating with multiple teams to drive timely resolutions.

Ideal candidates bring strong ETL experience, analytical problem-solving, and excellent communication.

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 with the 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.

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 ad hoc 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.

Skills

ETL development
Analytical skills
Communication
Collaborative
Adaptability
Data platforms
GenAI exposure

Job description

Cloud Analytics Technologies, LLC is seeking a Data Engineer focused on maintaining and improving data pipelines and analytics platforms in production. You will monitor, troubleshoot, and resolve data ingestion, UI/UX, and data quality issues while collaborating with multiple teams to drive timely resolutions.

Ideal candidates bring strong ETL experience, analytical problem-solving, and excellent communication.

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