Senior Data Engineer

Donorbox; France; Hybride; EUR 39 000 - 52 000; Plein temps

Avantages offerts par ce poste

Employee equity plan

Home office stipend

Wellness program

Generous time off

Résumé du poste

Donorbox, a leading nonprofit fundraising platform, is hiring a Data Engineer to build and maintain scalable data pipelines and models. You will work on ETL/ELT workflows, BigQuery data warehousing, and data quality initiatives while collaborating with analysts and stakeholders to drive data-driven decisions.

You will mentor peers, document data assets, and deploy data products to Superset, all within an agile, fully remote team.

Qualifications

• 5+ years of hands-on experience in a Data Engineering role.
• 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.
• Solid software engineering principles: modular code design, testing, and version control.
• Excellent problem-solving, communication, and Agile experience.
• Bonus points if you have Ruby, nonprofit sector experience, or SaaS experience.

Responsabilités

• Develop and maintain data pipelines using SQL, Python, dbt and Airflow.
• Design and optimize data models in BigQuery for analytics and reporting.
• Ensure data quality and usability for analysis and downstream dashboards.
• Mentor junior engineers and collaborate with data analysts and stakeholders.
• Build robust reporting foundations for analysts with ready-to-use data.
• Document data systems, pipelines, and schemas for clear knowledge transfer.
• Deploy datasets, reports, and dashboards to Superset for organization-wide access.
• Follow software engineering best practices including version control, testing, and modular design.
• Operate in an Agile environment and present data products to stakeholders for feedback.
• Own end-to-end data solutions from root cause to production-ready implementations.
• Conduct regular performance audits on pipelines and dashboards and optimize accordingly.

Connaissances

SQL

Python

dbt

Airflow

PostgreSQL

Google Cloud Platform

Superset

PowerBI

Tableau

Git

Agile

Outils

dbt

Airflow

PostgreSQL

Google Cloud Platform

Superset

PowerBI

Tableau

Git

Description du poste

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.

Qualifications & Experience

• 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.

Bonus Points if You Have:

• Experience working with Ruby.
• Experience in the non-profit or fundraising technology sector.
• Experience with SasS.

Details

• 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!