**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.