Data Engineer

🕒 August 19

🇺🇸 United States – Remote

💵 $150k - $170k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Grüns

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🧘 Wellness

🍽️ Food & Beverage

🏥 Healthcare

Wellness • Food & Beverage • Healthcare

Grüns is a wellness and fitness company that aims to make healthy eating enjoyable and accessible. The company transforms traditional greens supplements, which often have an unappealing taste, into delicious, snackable products that customers can look forward to consuming. With a variety of ingredients that support numerous health benefits, Grüns positions itself as a convenient solution for meeting nutritional needs.

📋 Description

• 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