Monster Jobs lê cada vaga aberta e diz, de 0 a 100, o match dela com o seu currículo — de graça. Você está vendo esta página sem a parte mais importante dela: a sua.
Pode ser 94. Pode ser 31.
O ponteiro só crava quando lemos o seu currículo. Leva 1 minuto, de graça.
DOSSIÊ MJ-9149 · ACESSO PARCIAL
Senior Data Engineer
Donorbox · Brasil
Esta é 1 de 75.386 vagas encontradas nos últimos 30 dias. Nós comparamos todas com o seu currículo — hoje, esta página nem sabe quem você é.
Grátis, sem cartão. Só o seu currículo.
Encontrada semana passada
Se candidatar no escuro custa uma noite.
Saber custa um minuto.
A conta que ninguém faz
Você, sozinho, numa noite
~20
vagas abertas e lidas uma a uma — a maioria descartada no terceiro parágrafo, quando o requisito que você não tem finalmente aparece. Dias assim, toda semana.
O Monster Jobs, enquanto isso
75.386
vagas já lidas e entendidas, prontas para ganhar nota contra o seu currículo no momento em que ele chegar. Você não procura mais vaga — recebe as que merecem a sua atenção.
Recrutador faz triagem de candidato.
Aqui, o recrutador é você — de vagas.
Cada uma chega com nota e motivo. Seu único trabalho é dizer sim ou não.
RELATÓRIO DE COMPATIBILIDADE · GERADO POR VAGA, POR PESSOA
Por que essa nota
Para quem tem conta, este bloco explica a nota em português — escrito sobre o seu histórico, não um texto genérico:
O raciocínio da nota é gerado para cada currículo depois do cadastro gratuito.
A seu favor
O que do seu histórico pesa a favor aqui.
O que falta
O que a vaga pede e seu currículo ainda não mostra.
1 minuto: você envia o currículo, nós escrevemos o resto.
Ninguém caça sozinho. Esta vaga foi encontrada por outra pessoa e entrou no acervo de todo mundo. A caça continua enquanto você lê isto — e a sua parte do acervo (75.386 vagas, comparadas com o seu currículo) só passa a existir quando você entra.
O que você decide sobre cada vaga
Cada vaga vira um caso com histórico: candidatei, entrevista, proposta. Estes botões são os reais — só falta a conta.
Descrição da vaga
Donorbox is a leading fundraising platform and donor management system for nonprofit organizations. Our mission is to accelerate positive impact worldwide by helping nonprofits become highly effective at raising funds and managing their supporter base. Since 2014, we have powered more than 100,000 global organizations to raise over $4 billion in donations. 🚀
Our fast-growing company is profitable and bootstrapped with a healthy run rate. We have a fully distributed and diverse 150-person team based in 16+ states and 23+ countries. In 2026, Donorbox was named by Built In as one of the Best Places to Work in Washington, DC.
🏅 Donorbox is rated the #1 software for fundraising, donor management, and nonprofit payment on G2 based on hundreds of verified customer reviews — a reflection of the care our team puts into building products that nonprofits trust.
The Role
Donorbox is looking for a motivated and collaborative Data Engineer to join our growing team. You'll play a key role in building and maintaining the data infrastructure that powers our analytics and helps drive critical decisions across the organization. If you're passionate about data, enjoy solving complex problems, and thrive in a dynamic environment, we'd love to hear from you!
Responsibilities
- Develop and Maintain Data Pipelines: Design, build, and optimize robust ETL/ELT workflows using SQL, Python, dbt, and Airflow to ingest and process data from various sources.
- Design and Optimize Data Models: Create and refine data models, primarily within BigQuery, ensuring they are efficient, scalable, and support our analytical and reporting needs.
- Ensure Data Quality and Usability: Cleanse, transform, and structure data to ensure accuracy, consistency, and a format suitable for analysis and reporting.
- Mentor and Collaborate: Serve as a technical leader, mentoring junior engineers and promoting best practices in coding, data modeling, and system design. You'll also work closely with data analysts and business stakeholders to translate business needs into technical requirements.
- Build Reporting Foundations: Support the creation of summary tables and enhance database models to provide Data Analysts with ready-to-use data for their work.
- Document Everything: Maintain clear and concise documentation for data systems, pipelines, data flows, and schemas, making it easy for others to understand and utilize our data assets.
- Deploy Data Products: Help deploy datasets, reports, and dashboards to Superset for wider consumption.
- Practice Software Engineering Excellence: Follow best practices in software development, including version control, testing, and modular code design.
- Work in an Agile Environment: Operate effectively within our agile development framework, contributing to continuous improvement and quick iterations.
- Present and Gather Feedback: Engage with stakeholders to present completed data products and gather valuable feedback for further iterations.
- Own the Solution: Take ownership of complex data problems from start to finish, from identifying the root cause to implementing a production-ready solution.
- Conduct regular performance audits on existing data pipelines, databases, and dashboards, and implement optimizations.
- Experience: 5+ years of hands-on experience in a Data Engineering role, with a proven track record of building and managing production data systems.
- Technical Proficiency:
- Strong proficiency in SQL, Python, dbt, and Airflow.
- Extensive experience with PostgreSQL and Google Cloud Platform.
- Familiarity with Superset or other visualization tools like PowerBI, Tableau, ...
- Software Engineering Principles: A solid understanding of core software engineering principles, including modular code design, testing, and version control (e.g., Git).
- Problem-Solving Skills: The ability to think critically, solve complex problems independently, and drive projects to completion.
- Communication: Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Agile Experience: Experience working in an agile development environment.
- Experience working with Ruby.
- Experience in the non-profit or fundraising technology sector.
- Experience with SasS.
- Fully remote based in Latin America
- Salary: $45-60k USD, depending on experience and location
- Fully remote work from the comfort of your home
- Eligibility for employee equity plan (stock options)
- Reimbursement package for home office expenses and professional development, up to $1.5k
- Generous time off policy of 21 days (birthday included 🎉), 8 holidays of your choice, and 2 paid volunteer days
- Wellness program with fitness and mindfulness classes
- Love your work and our mission of serving nonprofits!
We have 6 stages:
- Apply here and fill out our questions to tell us about you!
- Prescreen Call with the Talent Team
- Interview with Hiring Manager
- Assignment
- Panel/Final Interview
- Background & Reference Checks
Leu tudo e ficou na dúvida? É exatamente isso que a nota resolve.
Por que criar conta agora
Leva 1 minuto
Envie o currículo e pronto. Sem formulário longo, sem questionário, sem teste.
Grátis de verdade
Sem cartão, sem período de teste que expira. Seu currículo só gera as suas notas.
Já tem vaga esperando
75.386 vagas encontradas nos últimos 30 dias — a sua nota nesta e em todas as outras sai assim que o currículo chega.