Senior Data Engineer

Donorbox; France; Hybride; EUR 38 000 - 52 000; Plein temps

Résumé du poste

A nonprofit technology firm is seeking a Senior Data Engineer to develop and maintain data infrastructure. The role involves working with SQL and Python, optimizing data models, and ensuring high data quality. This fully remote position offers a salary range of $45k-$60k USD, generous time off, and various employee benefits.

Prestations

Employee equity plan (stock options)

Home office reimbursement up to $1.5k

Health insurance premium reimbursements

Generous time off policy

Wellness program with fitness classes

Qualifications

• 5+ years of experience in a Data Engineering role.
• Strong proficiency in SQL, Python, dbt, Airflow.
• Excellent communication skills for technical explanation.

Responsabilités

• Develop and maintain ETL/ELT workflows.
• Design and optimize data models in PostgreSQL.
• Ensure data quality and usability.

Connaissances

SQL

Python

dbt

Airflow

PostgreSQL

Problem-solving

Communication

Outils

Superset

PowerBI

Tableau

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 close to $3B 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.

Donorbox is rated the #1 software for fundraising, donor management, and nonprofit payment on G2 based on hundreds of verified customer reviews. We\'re proud of what we do, and our product reflects it!

The Role

Donorbox is seeking a motivated Senior Data Engineer to join our growing team. In this role, you’ll take ownership of building and maintaining the data infrastructure that drives analytics and informs key business decisions. You’ll transform raw data into actionable insights, solve complex technical challenges, and help shape the future of our data systems. If you’re passionate about data, thrive in a collaborative environment, and enjoy making an impact, we want 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 PostgreSQL, 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 or similar relational databases (e.g., MySQL, Oracle).
• Familiarity with Superset or other visualization tools like PowerBI and 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

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

Details

• Fully remote based in Latin America
• Salary: $45k-$60k USD, based 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
• Health insurance premium reimbursements, up to 75% for you and your family
• 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!

The Application Process

We have 5 stages:

• Apply here and fill out our questions to tell us about you!
• Prescreen Call with the Talent team
• Technical Interview with Hiring Manager
• Panel/Final Interview
• Background + Reference Checks