Remote Data Engineer: Scalable ETL & Python Pipelines

Crossing Hurdles; United States; On-site; USD 41,328 - 123,984; Part time

Job summary

Crossing Hurdles is seeking a Data Engineer for a remote contract engagement. The role involves designing, developing, and maintaining scalable ETL pipelines, collaborating with cross-functional teams, and ensuring data integrity across production systems.

The ideal candidate writes clean Python, focuses on data quality, and can independently manage tasks in a fully remote setup. This position offers flexible hours (10-40 hrs/week) and competitive hourly compensation of $30-$90.

Qualifications

• Expert-level proficiency in Python.
• Extensive hands-on experience building and maintaining ETL pipelines and data workflows.
• Ability to work independently in a fully remote environment.
• Exceptional written and verbal communication skills, with a focus on clarity and collaboration.
• Strong analytical and problem-solving mindset with acute attention to detail.
• Demonstrate expertise in debugging and optimizing large-scale data systems.

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.

Skills

Python programming

ETL pipelines

Remote work independence

Communication skills

Analytical thinking

Debugging large-scale data systems

Job description

• 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.
  
  

Application Process

• Easy Apply on LinkedIn
• Check email for next steps
• Participate in resume evaluation & interview stage