Data Engineer

We're so happy you're here! Thank you for checking our job out and we hope to have the chance to meet you in our interview process!

About the role

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Data sits behind nearly every decision at Grüns. As we scale, our reporting, operations, internal tools, and AI initiatives all depend on pipelines that are fast, accurate, and trusted. This role builds and owns that infrastructure. You'll take a business problem, design the pipeline behind it, and stay with it through production.

This role is part of our remote HQ!

We have a fully remote, high-trust work environment - and also come together on a biannual basis for amazing off-sites where we can connect IRL.

In this role, you will

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• 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.

We're looking for someone who

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* Has 3+ years in data engineering, analytics engineering,