Data Architect (Contract)

hire feed • United State
Remote
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AI Summary

Design, build, and maintain scalable ETL pipelines for data ingestion, transformation, and integration from multiple sources. Develop and optimize logical and physical data models within modern data warehousing environments. Collaborate with cross-functional teams to ensure data accuracy, consistency, and security across platforms.

Key Highlights
Contract role with $30-$100/hour payout
Work on next-generation AI systems with real-world data across finance, healthcare, and engineering domains
No prior AI experience required - domain expertise is prioritized
Platform has enabled over 1 million AI-led interviews and raised $40M+ funding
Key Responsibilities
Design, build, and maintain scalable ETL pipelines to support data ingestion, transformation, and integration from multiple sources
Develop and optimize logical and physical data models within modern data warehousing environments
Collaborate closely with cross-functional teams to understand data requirements and deliver reliable data solutions
Monitor, troubleshoot, and enhance data infrastructure for optimal performance and scalability
Ensure data accuracy, consistency, and security across all platforms and solutions
Document technical processes, system designs, and data flows with clarity and precision
Technical Skills Required
ETL development data warehousing MySQL Python data pipeline design data modeling data infrastructure monitoring data security best practices
Benefits & Perks
Remote work (work from anywhere)
Contract-based employment

Job Description


  • Role: Data Architect (Remote)
  • Location: Remote (Work from Anywhere)
  • Payout: $30 - $100/hour



Role Overview:

We are hiring for one of our clients, seeking a Data Engineer to work on a Contractor basis. This role involves designing, building, and maintaining scalable ETL pipelines to support data ingestion, transformation, and integration from multiple sources, directly contributing to the development of next-generation AI systems. Your work will shape how AI models learn, reason, and perform through high-quality, real-world input across domains like finance, healthcare, and engineering. No prior experience in AI is required — domain expertise is what matters.


Key Responsibilities:

• Design, build, and maintain scalable ETL pipelines to support data ingestion, transformation, and integration from multiple sources.

• Develop and optimize logical and physical data models within modern data warehousing environments.

• Collaborate closely with cross-functional teams to understand data requirements and deliver reliable data solutions.

• Monitor, troubleshoot, and enhance data infrastructure for optimal performance and scalability.

• Ensure data accuracy, consistency, and security across all platforms and solutions.

• Document technical processes, system designs, and data flows with clarity and precision.


Required Skills & Qualifications:

• Proficiency in ETL development and data warehousing technologies, with hands-on experience in MySQL and Python.

• Experience designing and optimizing data pipelines for large-scale data processing.

• Strong understanding of logical and physical data modeling in modern data warehousing environments.

• Ability to collaborate effectively with cross-functional teams to translate data requirements into technical solutions.

• Experience in monitoring, troubleshooting, and optimizing data infrastructure for performance and scalability.

• Familiarity with data security best practices and ensuring data accuracy and consistency across platforms.


More About the Opportunity:

This role offers a unique opportunity to contribute to the human intelligence layer for AI, working with a platform that has enabled over 1 million AI-led interviews and raised $40M+ in funding. The position provides exposure to cutting-edge AI development, global collaboration, and impactful work shaping the future of AI systems across multiple industries.


Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.


Apply Now!


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