Job Title: Data Engineer
Job Type: Contractor
Location: Remote
Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
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.
Required Skills and Qualifications:
- 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.
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