Data Engineer - Remote

Job Title: Data Engineer

Job Type: Contractor

Location: 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.

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.