Data Engineer | $30-$100/hr Remote
Overview
This role applies data engineering expertise to help train next-generation AI systems by designing, maintaining, and optimizing scalable ETL pipelines. The data engineer collaborates with cross-functional teams, writes clean Python code, and ensures data quality and integrity in production systems. No prior AI experience is required—domain knowledge in data engineering is what matters.
What You'll Do6
- 1Design, develop, and maintain scalable ETL processes for data integration and transformation.
- 2Collaborate with cross-functional teams to analyze data needs and implement tailored solutions.
- 3Optimize existing workflows for performance, reliability, and scalability.
- 4Monitor, troubleshoot, and resolve issues in production data pipelines to uphold data integrity.
- 5Write clean, well-documented Python code adhering to industry standards and best practices.
- 6Champion data quality and implement validation mechanisms throughout data processes.
Requirements7
- 1Expert-level proficiency in Python programming.
- 2Extensive hands-on experience building and maintaining ETL pipelines and data workflows.
- 3Proven ability to work independently in a fully remote environment.
- 4Exceptional written and verbal communication skills.
- 5Strong analytical and problem-solving mindset with acute attention to detail.
- 6Demonstrated expertise in debugging and optimizing large-scale data systems.
- 7Solid understanding of data modeling, data warehousing concepts, and best practices in data engineering.
Who Should Apply
Ideal candidates are experienced data engineers with deep Python and ETL expertise who thrive working autonomously in a remote setting. They possess strong communication skills and a meticulous approach to data quality, and they are eager to apply their domain knowledge to improve AI training data pipelines.
Salary Insight
The role offers $30-$100 per hour for a contract position, based on experience and location.
Required Skills
Application Tip
In your application, emphasize specific examples of independent remote work and how you have designed or optimized complex ETL pipelines, including quantifiable results (e.g., throughput improvements, error rate reductions). Highlight clear written communication by providing a well-structured cover letter that mirrors the job's emphasis on clarity.