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Senior Data Engineer

Donorbox

Argentina

A distancia

ARS 65.329.000 - 87.106.000

Jornada completa

Hace 2 días
Sé de los primeros/as/es en solicitar esta vacante

Descripción de la vacante

A nonprofit organization specializing in fundraising technology seeks a motivated Senior Data Engineer to build and maintain data infrastructure. This fully remote position in Latin America offers a salary of $45k-$60k. The ideal candidate should have over 5 years of experience, strong skills in SQL, Python, dbt, and Airflow, and a passion for solving complex technical challenges. Benefits include remote work, health insurance reimbursement, and generous time off.

Servicios

Eligibility for employee equity plan
Reimbursement for home office expenses
Health insurance premium reimbursement
Generous time off policy
Wellness program with fitness classes

Formación

  • 5+ years of hands-on experience in a Data Engineering role.
  • Strong proficiency in SQL, Python, dbt, and Airflow.
  • Extensive experience with PostgreSQL or similar databases.

Responsabilidades

  • Design, build, and optimize robust ETL/ELT workflows.
  • Create and refine data models within PostgreSQL.
  • Mentor junior engineers and work with stakeholders.

Conocimientos

SQL
Python
dbt
Airflow
PostgreSQL
Problem-Solving
Agile Environment Experience
Excellent Communication

Educación

5+ years in Data Engineering

Herramientas

Superset
PowerBI
Tableau
Descripción del empleo
Overview

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 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. 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: Review 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
Benefits & Perks
  • 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:

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

If this sounds like the right role for you, please apply today and let us know why. We look forward to hearing from you!

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