Donorbox

Data Engineer

• Design, build, and optimize robust ETL/ELT workflows using SQL, Python, dbt, and Airflow
• Create and refine data models in PostgreSQL to support analytics and reporting
• Cleanse, transform, and structure data to ensure accuracy and usability
• Mentor junior engineers and collaborate with data analysts and stakeholders
• Support creation of summary tables and enhance database models for analysts
• Maintain clear documentation for data systems, pipelines, flows, and schemas
• Deploy datasets, reports, and dashboards to Superset for wider consumption
• Follow software engineering best practices: version control, testing, modular design
• Operate within an agile framework and contribute to continuous improvement
• Present data products to stakeholders and gather feedback for iterations
• Own complex data problems from root cause analysis to production-ready solutions
• Conduct regular performance audits on pipelines, databases, and dashboards and implement optimizations

Senior Data Engineer

Product Analyst

• Company overview: Donorbox is a leading fundraising platform that helps nonprofits raise funds and manage donors. Donorbox is fully distributed with a 150-person team across 23+ countries.
• The Role: Product Analyst - help product teams make data-driven decisions, define, implement, and analyze product metrics and data integrity.
• Responsibilities: define/track metrics, analyze funnels, ensure data collection, support design and product teams, bridge Product and Data, monitor data quality, assist in A/B testing, dashboards for stakeholders.
• Qualifications & Experience: 5+ years, GA4/GTM, Heap/Posthog/Pendo, A/B testing, SQL, data viz tools.
• Bonus: data warehousing, startup experience, Python/R, UX/Product design, agile.
• Details: Fully remote based in Latin America; Salary: $25k-$35k USD.
• Benefits & Perks: list as above.
• Application Process: 7 stages.