Remote Data Engineer: ETL, Python & Data Quality

Crossing Hurdles; United Kingdom; On-site; GBP 31,000 - 93,000; Full time

Job summary

Crossing Hurdles is seeking a Data Engineer for a remote contract role, 10-40 hrs/week, paid at $30-$90/hour.

You will design, develop, and maintain scalable ETL processes, collaborate with cross‑functional teams to tailor data solutions, optimize workflows for performance, monitor production pipelines, and write clean Python code while championing data quality and validation.

Qualifications

• Expert-level Python programming.
• 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.
• Strong analytical and problem-solving mindset with acute attention to detail.
• 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

Independent work

Communication

Analytical thinking

Debugging large-scale data

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