Remote Data Automation Engineer

Uproot Clean; United States; Remote; USD 90,000 - 140,000; Full time

Benefits offered by this job

Competitive base salary

Fully remote - LATAM

Paid time off

Flex days

Ownership & autonomy

Professional development

Job summary

Uproot Clean is seeking a hands-on Data & Automation Analyst to design and maintain data pipelines, automate workflows, and improve system reliability across the business. This position emphasizes building, debugging, and scaling systems to reduce manual work.

The ideal candidate will work with BigQuery, dbt Core, and ETL tools, and create automations with n8n, Zapier, or Make, collaborating cross-functionally to translate business needs into technical solutions.

Qualifications

• Bachelor’s degree in Systems Engineering, Computer Science, or related field.
• Hands-on experience with BigQuery or similar data warehouses.
• Familiarity with ETL tools such as Fivetran (or similar).
• Experience building automations using n8n, Zapier, or Make.
• Strong problem-solving skills and builder mindset.
• Effective communication and interpersonal skills.

Responsibilities

• Build, maintain, and optimize data pipelines across multiple sources.
• Manage and structure data within BigQuery to ensure accessibility and scalability.
• Transform and model data using dbt Core.
• Set up and manage ETL pipelines using tools like Fivetran or similar.
• Design automations using n8n and replace manual processes.
• Ensure data accuracy, reliability, and system uptime.
• Document pipelines and data models; work cross-functionally to translate needs.

Skills

BigQuery experience

Problem solving

Builder mindset

Communication skills

Education

Bachelor’s degree

Tools

dbt Core

Fivetran

n8n

Zapier

Make

BigQuery

Job description

Uproot Clean is seeking a hands-on Data & Automation Analyst to design and maintain data pipelines, automate workflows, and improve system reliability across the business. This position emphasizes building, debugging, and scaling systems to reduce manual work.

The ideal candidate will work with BigQuery, dbt Core, and ETL tools, and create automations with n8n, Zapier, or Make, collaborating cross-functionally to translate business needs into technical solutions.