Data Engineer - Remote

Job Summary

We are seeking an expert Data Engineer to join our customer’s team and play a pivotal role in developing next‑generation AI agents. In this fully remote role, you will leverage your strong data engineering, coding, and AI/ML expertise to help train and optimize advanced AI systems. Collaborate with talented professionals in a dynamic environment where your technical skills and innovative mindset will directly impact the project's success.

Job Title

Data Engineer

Job Type

Contractor

Location

Remote

Key Responsibilities

• Design, implement, and manage data pipelines to support complex AI agent training initiatives.
• Collaborate closely with AI/ML engineers to ensure efficient data flows and high‑quality training datasets.
• Develop and maintain scalable ETL processes using Python, MySQL, and PostgreSQL.
• Utilize JAVA and JavaScript to integrate diverse data sources and enable seamless data exchange.
• Contribute to the optimization of AI models through effective data engineering practices.
• Document data processes comprehensively and communicate technical concepts clearly to both technical and non‑technical stakeholders.
• Troubleshoot and resolve data issues, ensuring data integrity and reliability for AI applications.

Required Skills And Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3+ years of hands‑on experience as a Data Engineer, with proven expertise in AI/ML projects.
• Advanced proficiency in Python, MySQL, PostgreSQL, JAVA, and JavaScript.
• Strong understanding of AI concepts and experience in training AI agents.
• Exceptional written and verbal communication skills, with a focus on clarity and collaboration.
• Experience implementing robust data pipelines and scalable architecture for machine learning projects.
• Self‑motivated, detail‑oriented, and able to thrive in a fully remote team environment.

Preferred Qualifications

• Master’s degree in a related field.
• Direct experience with AI agent frameworks and real‑world deployment projects.
• Previous work in fast‑paced startup or innovation‑driven environments.