Data Engineer
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Job Description
Data Engineer building trusted data pipelines, Airflow workflows, and dbt models for Grüns’ convenient whole-food nutrition gummies. Owning production data infrastructure and quality.
Responsibilities:
- Design, build, and own custom data pipelines from source systems into the warehouse
- Integrate messy or poorly documented APIs
- Build and operate Airflow DAGs for scheduled and event-triggered workflows
- Develop dbt models and a governed semantic layer for analysts, internal tools, and AI agents
- Develop reusable patterns for incremental syncs, retries, replay, backfills, and event processing
- Build monitoring, quality checks, and reconciliation processes
- Diagnose and resolve production incidents involving missing, delayed, duplicated, or incorrect data
- Partner with Finance, Operations, Growth, and Technology to turn ambiguous requests into durable data products
- Use AI coding agents to accelerate implementation, testing, and debugging while maintaining accountability for architecture, correctness, and quality
- Document architectural decisions, system ownership, and recovery procedures
Requirements:
- 3+ years in data engineering, analytics engineering, or a closely related engineering role
- Production-quality Python and advanced SQL
- Experience designing, building, and operating Airflow workflows for custom data pipelines
- Strong dbt and dimensional modeling fundamentals
- Experience building custom integrations against third-party APIs, webhooks, files, or event streams
- Deep knowledge of API ingestion, including authentication, pagination, rate limits, incremental synchronization, retries, and historical backfills
- Ownership of at least one business-critical pipeline from design through production support
- Experience with monitoring, alerting, logging, reconciliation, CI/CD, and runbooks
- Experience in a high-growth environment, ideally DTC or subscription
- Broad, hands-on experience across the data stack
- Fluency using AI coding agents for implementation, testing, debugging, refactoring, and review
- Experience with BigQuery, GCP, and Cloud Composer is a plus
Benefits:
- Bonus
- Comprehensive benefits package
- Strong benefits coverage for you and your family
- Generous PTO
- Free Grüns
- Wellness and health-and-well-being perks
- Fully remote work environment
- Biannual off-sites
- Career growth opportunities
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