Remote Data Engineer for AI Model Development

As a Data Engineer, you will be instrumental in designing and optimizing robust ETL pipelines and data workflows. This expert-level, remote position is ideal for professionals who excel in fast-paced environments and are dedicated to delivering scalable data solutions using Python. Key Responsibilities:

• Design, develop, and maintain scalable ETL processes to ensure smooth data integration and transformation.
• Collaborate closely with cross-functional teams to analyze data needs and implement tailored solutions.
• Optimize existing workflows for performance, reliability, and scalability.
• Monitor, troubleshoot, and resolve issues in production data pipelines to uphold data integrity.
• Write clean, well-documented Python code adhering to industry standards and best practices.
• Champion data quality and implement validation mechanisms throughout data processes.
• Communicate complex technical concepts to both technical and non-technical stakeholders, prioritizing clear written and verbal interactions.

• Expert-level proficiency in Python programming.
• Extensive hands-on experience building and maintaining ETL pipelines and data workflows.
• Proven ability to work independently in a fully remote environment.
• Exceptional written and verbal communication skills, with a strong focus on clarity and collaboration.
• Strong analytical and problem-solving mindset with acute attention to detail.
• Demonstrated expertise in debugging and optimizing large-scale data systems.
• Solid understanding of data modeling, data warehousing concepts, and best practices in data engineering.

Preferred Qualifications:

• Experience within global, distributed teams and working directly with customers.
• Exposure to additional programming or scripting languages and modern data stack tools.
• Background in supporting highly regulated or data-centric industries., Open to candidates with the required skills and experience, able to work independently in a remote setting.

Contract position with remote work flexibility. Compensation