Senior Data Engineer

📋 Description

• Design, build, and optimize robust ETL/ELT workflows using SQL, Python, dbt, and Airflow to ingest
• Create and refine data models, primarily within BigQuery, ensuring they are efficient, scalable
• Cleanse, transform, and structure data to ensure accuracy, consistency, and a format suitable for
• Serve as a technical leader, mentoring junior engineers and promoting best practices in coding
• Support the creation of summary tables and enhance database models to provide Data Analysts with
• Maintain clear and concise documentation for data systems, pipelines, data flows, and schemas

🎯 Requirements

• 5+ years of hands-on experience in a Data Engineering role, with a proven track record of building
• 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, ...
• A solid understanding of core software engineering principles, including modular code design
• The ability to think critically, solve complex problems independently, and drive projects to

🎁 Benefits

• 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
• Wellness program with fitness and mindfulness classes
• Love your work and our mission of serving nonprofits!