AI Data Engineer (Fully Remote)

Partner Company; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Partner Company is seeking a data engineer to design and build scalable data infrastructure for AI-enabled products in a remote contract environment. You will implement synthetic data generation and automated data preparation workflows, ensuring reliability through automated validation and monitoring.

You will develop data models and storage architectures for large-scale AI workloads, optimize retrieval systems and backend data infrastructure for efficient access, and collaborate with product

Qualifications

• Strong Python programming skills for data processing and pipeline development.
• Experience with data modeling, validation, and scalable backend systems.
• Ability to work independently in a remote contract environment.

Responsibilities

• Design and build scalable data infrastructure for AI-enabled products.
• Develop data models and storage architectures for large-scale AI workloads.
• Optimize retrieval systems and backend data infrastructure for efficient access.
• Collaborate with product teams to align data pipelines with application needs.

Skills

Python

Data modeling

Validation

Backend systems

Job description

• Design and build scalable data infrastructure for AI-enabled products.
• Implement synthetic data generation and automated data preparation workflows.
• Ensure data reliability through automated validation and monitoring.

Key Responsibilities:

• Develop data models and storage architectures for large-scale AI workloads.
• Optimize retrieval systems and backend data infrastructure for efficient access.
• Collaborate with product teams to align data pipelines with application needs.

Requirements:

• Strong Python programming skills for data processing and pipeline development.
• Experience with data modeling, validation, and scalable backend systems.
• Ability to work independently in a remote contract environment.

Partner Company

The company partners with Jobgether to hire for AI-focused data engineering roles. It operates in a remote, project-based environment with a focus on building scalable infrastructure for next-generation AI applications.