Note: The job is a remote job and is open to candidates in USA. Grüns is a nutrition company dedicated to making comprehensive nutrition convenient through nutrient-dense gummies. The Data Engineer will build and own reliable data infrastructure, including pipelines, Airflow workflows, dbt models, monitoring, and integrations, while partnering with business teams to develop durable data products and support reporting, operations, internal tools, and AI initiatives.
Responsibilities
- Design, build, and own custom data pipelines from source systems into our warehouse, including integrations with messy or poorly documented APIs
- Build and operate Airflow DAGs for scheduled and event-triggered workflows
- Develop dbt models and a governed semantic layer that analysts, internal tools, and AI agents can trust
- Develop reusable patterns for incremental syncs, retries, replay, backfills, and event processing so the team ships faster over time
- Build monitoring, quality checks, and reconciliation that catch problems before bad data reaches reports, teams, or AI tools
- 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 remaining accountable for architecture, correctness, and quality
- Document architectural decisions, system ownership, and recovery procedures so critical knowledge is accessible and systems remain supportable
Skills
- Has 3+ years in data engineering, analytics engineering, or a closely related engineering role, with a track record beyond execution-only work
- Writes production-quality Python and advanced SQL, with an emphasis on maintainable, well-tested code
- Has designed, built, and operated Airflow workflows for custom data pipelines
- Has strong dbt and dimensional modeling fundamentals: grain, keys, facts, dimensions, incremental models, tests, documentation, and schema evolution
- Has built custom integrations against third-party APIs, webhooks, files, or event streams, not just configured managed connectors
- Knows API ingestion deeply: authentication, pagination, rate limits, incremental synchronization, retries, and historical backfills
- Has owned at least one business-critical pipeline from design through production support, including monitoring, alerting, logging, reconciliation, CI/CD, and runbooks
- Has worked in a high-growth environment, ideally DTC or subscription, where priorities and source systems change often
- Brings broad, hands-on experience across the data stack rather than specializing in one narrow area
- Uses AI coding agents fluently for implementation, testing, debugging, refactoring, and review, with the judgment to catch what they get wrong
- Experience with BigQuery, GCP, and Cloud Composer is a plus
Benefits
- Fully remote, high-trust work environment
- Biannual off-sites
- Bonus
- Super strong benefits coverage for you and your family
- Generous PTO
- Free Grüns
- Additional perks centered around health and well-being
- Career growth opportunities
Company Overview