Senior Data Engineer

Donorbox

. Design, build, and optimize ETL/ELT workflows using SQL, Python, dbt, and Airflow .

Posted 9/22/2026full-timeRemoteSenior💰 $45,000 - $60,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing ETL/ELT workflows using SQL, Python, dbt, and Airflow, while effectively collaborating with stakeholders to translate business needs into technical solutions. Proven ability to mentor junior engineers and maintain high standards in coding and data modeling practices.

Highest-signal resume keywords

ETL/ELT Workflow DesignSQL ProficiencyPython DevelopmentData Modeling in BigQueryAgile Development Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonDbtAirflowPostgreSQLGoogle Cloud PlatformData ModelingVersion ControlModular Code DesignPerformance Audits

Soft Skills

Critical ThinkingProblem SolvingCommunication Skills

Tools & Technologies

SupersetPowerBITableau

Industry Keywords

Data EngineeringSaaSNon-Profit TechnologyFundraising Technology

Tech Stack

Tools & technologies

AirflowBigQueryCloudETLGoogle Cloud PlatformPostgresPythonRubySCSSSQLTableau

About the role

Key responsibilities & impact

Design, build, and optimize ETL/ELT workflows using SQL, Python, dbt, and Airflow
Create and refine scalable data models primarily within BigQuery
Cleanse, transform, and structure data for accurate analysis and reporting
Mentor junior engineers and promote best practices in coding, data modeling, and system design
Collaborate with data analysts and business stakeholders to translate business needs into technical requirements
Create summary tables and enhance database models for Data Analysts
Maintain documentation for data systems, pipelines, data flows, and schemas
Deploy datasets, reports, and dashboards to Superset
Apply software development best practices, including version control, testing, and modular code design
Work within an agile development framework and contribute to continuous improvement
Present completed data products and gather stakeholder feedback
Own complex data problems from root-cause identification through production-ready solutions
Conduct performance audits on data pipelines, databases, and dashboards and implement optimizations

Requirements

What you’ll need

5+ years of hands-on experience in a Data Engineering role, with a proven track record of building and managing production data systems
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 understanding of core software engineering principles, including modular code design, testing, and version control (e.g., Git)
Ability to think critically, solve complex problems independently, and drive projects to completion
Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences
Experience working in an agile development environment
Experience working with Ruby (bonus)
Experience in the non-profit or fundraising technology sector (bonus)
Experience with SasS (bonus)

Benefits

Comp & 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
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!