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See allAbout the role:
- 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.
In this role, you will:
- 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.
We're looking for someone who:
- 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.
Compensation & Benefits:
- Base salary range is $150,000-$170,000 plus bonus depending on experience.
- Comprehensive benefits package including generous PTO, free Grüns, and health coverage.
- Fully remote high-trust work environment with biannual off-sites.
Grüns
Grüns provides comprehensive nutrition through convenient gummies made from whole-food ingredients. They are a high-growth remote company with a culture focused on ownership, impact, and high standards.