Senior Data Engineer

Overview

Build and maintain data infrastructure that supports analytics, reporting, and organizational decision-making. Own complex data problems from root-cause analysis through production-ready solutions.

What you'll do

• Develop and optimize ETL/ELT pipelines using SQL, Python, dbt, and Airflow.
• Design scalable data models primarily in BigQuery.
• Cleanse, transform, and structure data for analysis and reporting.
• Mentor junior engineers and collaborate with analysts and stakeholders.
• Build summary tables and reporting foundations for data analysts.
• Document data systems, pipelines, data flows, and schemas.
• Deploy datasets, reports, and dashboards to Superset.

What you'll need

• 5+ years of hands-on Data Engineering experience.
• Experience building and managing production data systems.
• Strong proficiency in SQL, Python, dbt, and Airflow.
• Extensive experience with PostgreSQL and Google Cloud Platform.
• Understanding of modular code design, testing, and version control.
• Ability to solve complex problems independently and communicate technical concepts clearly.
• Experience working in an agile development environment.

Nice to have

• Experience working with Ruby.
• Experience in the nonprofit or fundraising technology sector.
• Experience with SaaS.

Details

• Remote in Latin America.
• Salary: $45,000–$60,000 USD, depending on experience and location.