Data Engineer
About 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.
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:
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:
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
Approach to the role:
Takes ownership from problem definition through production operation, including the unglamorous monitoring, debugging, and maintenance
Starts with the business decision and the source of truth before choosing a technical solution
Thinks in failure modes: what breaks, who it affects downstream, and how it recovers
Moves fast and independently without normalizing fragile shortcuts or one-off scripts
Digs into discrepancies until the real cause surfaces, not the first plausible explanation
Speaks up clearly when systems, definitions, or stakeholder expectations conflict
Documents decisions and builds patterns that make everyone else faster
Uses AI coding agents to accelerate implementation, testing, debugging, and review while maintaining strong judgment and ownership of the output.
Compensation & Benefits:
At Grüns, we're committed to providing a competitive total compensation package — grounded in market data that considers our size, stage, industry, and location. For this role, the base salary range is $150,000-$170,000 plus bonus depending on experience, paired with a comprehensive benefits package designed to support the well-being and growth of our team.