Data Engineer

Responsibilities

• Design, build, and own custom data pipelines from source systems into the warehouse
• Build and operate Airflow DAGs for scheduled and event-triggered workflows
• Develop dbt models and a governed semantic layer
• Develop reusable patterns for incremental syncs, retries, replay, and backfills
• Build monitoring, quality checks, and reconciliation systems
• Diagnose and resolve production incidents involving data discrepancies
• Partner with Finance, Operations, Growth, and Technology teams
• Use AI coding agents to accelerate implementation and testing
• Document architectural decisions and recovery procedures

Requirements

• 3+ years in data engineering or analytics engineering
• Production-quality Python and advanced SQL skills
• Experience designing and operating Airflow workflows
• Strong dbt and dimensional modeling fundamentals
• Experience building custom integrations against third-party APIs and webhooks
• Deep understanding of API ingestion (authentication, pagination, rate limits)
• Experience owning business-critical pipelines from design through production support
• Experience in high-growth environments (DTC or subscription preferred)
• Proficiency using AI coding agents for development tasks

Preferred Qualifications

• Experience with BigQuery, GCP, and Cloud Composer

Benefits

• Competitive base salary plus bonus
• Comprehensive benefits package for employees and families
• Generous PTO
• Free Grüns products
• Wellness and health perks

About the Company

Grüns provides foundational nutrition through nutrient-dense gummies formulated from 60 whole-food ingredients. We aim to make comprehensive nutrition simple, convenient, and delicious.