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Data Engineer | $90/hr Remote

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Summary

Contract Data Engineer (10-40 hrs/week, remote) designing and maintaining scalable ETL pipelines and data workflows, debugging and optimizing production data systems, and writing clean, well-documented Python. Pays $30-$90/hour and requires strong independent work and communication skills.

  • 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.

Position: Data Engineer

Type: Contract

Compensation: $30 - $90/hour

Location: Remote

Commitment: 10-40 hrs/week

Role 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.

Requirements

  • Have expert-level proficiency in Python programming.
  • Have extensive hands-on experience building and maintaining ETL pipelines and data workflows.
  • Have a proven ability to work independently in a fully remote environment.
  • Possess exceptional written and verbal communication skills, with a strong focus on clarity and collaboration.
  • Have a strong analytical and problem-solving mindset with acute attention to detail.
  • Demonstrate expertise in debugging and optimizing large-scale data systems.

Skills

See also

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