Note: The job is a remote job and is open to candidates in USA. GLDN.com is a high-growth direct-to-consumer jewelry brand that combines craft and technology to create personalized jewelry. The Senior Data Engineer will own the company’s data foundation end to end, including pipelines, models, dashboards, data quality, governance, and AI-accessible data products. The role partners with teams across marketing, ecommerce, manufacturing, supply chain, finance, and operations while managing one contract data engineer.
Responsibilities
- Own the pipelines and the models. Ingestion (Fivetran and custom), transformation (dbt), and modeling (Snowflake) across ecommerce and manufacturing. This includes orchestration, observability, and data quality, so you hear about a broken pipeline before Operations does
- Build the reports too, and support Sigma users. Design and ship dashboards and models yourself in Sigma rather than spec’ing them for someone else. Roughly half the value here comes from that side. You’re also the go-to for Sigma users across the business, which doubles as your best signal for what to build next
- Ship early, then fix it. Put a rough version in front of whoever asked, listen to what’s wrong, and rebuild. We’d rather see v1 in a week and revise twice than v3 in two months. The one exception is data integrity: wrong numbers are never fine, deadline or not
- Go look at the data, and fix things at the source. When a number looks off, open the raw tables, and trace problems upstream to whatever created them rather than patching downstream indefinitely
- Make the data AI-accessible, safely. Build certified, tested marts that LLMs and agents can query directly, not raw tables, since a confident wrong answer does more damage than no answer. Use AI coding tools (Cursor, Claude Code, Copilot) on your own work too
- Be the technical owner. Principal owner of Snowflake, Fivetran, dbt, and Sigma: set standards for modeling, documentation, testing, and governance, review code properly, mentor analysts and analytics engineers, and directly manage a contract data engineer
- Own the data budget. The stack’s spend is yours, along with the value it delivers. Unused pipelines, oversized warehouses, and unnecessary full rebuilds are a design problem, not somebody else’s
- Partner with the business. Marketing, Operations, Planning, Finance, Product, and up through leadership and our founder- turning fuzzy questions like “why are returns up on this collection?” into real insight
Skills
- • 5+ years in data engineering or something closely adjacent, with real ownership of production systems
- • Strong SQL and Python, and fluency in modern data modeling
- • Genuine hands-on coverage across the full pipeline — ingestion, transformation, modeling, orchestration, and visualization/BI — not depth at just one end
- • Experience architecting a dbt project, not just adding models to one
- • A modern stack comparable to Snowflake, Fivetran, dbt, and a BI layer like Sigma
- • A track record of shipping data products directly to stakeholders and iterating on their feedback
- • Demonstrated use of AI coding tools (Cursor, Claude Code, GitHub Copilot, or similar) in production
- • Hands-on cloud infrastructure experience (AWS or equivalent) and a real feel for cost — warehouse sizing, sync frequency, incremental vs. full rebuilds, storage that's outlived its use
- • Experience directing a contract or offshore engineer: scoping work, reviewing code, holding the quality bar
- Remote/hybrid, open to strong candidates across the US with a preference for the Pacific Northwest
- Skagit County time isn't flexible, though: we'll need you here for onboarding, in-person collaboration, and periodic touchpoints after that — a lot of what makes our data complicated happens on the studio floor, and it's easier to understand in person than over Google
- • Ecommerce and marketing data and integrations: Shopify Plus, Attentive, Google Analytics, Triple Whale, Meta, Google
- • Manufacturing, inventory, and warehouse data; Odoo ERP experience a plus
- • Made-to-order or long-lead-time fulfillment data, and returns-heavy businesses
- • Data orchestration and observability tooling
- • Data governance and master data management
Benefits
- Annual performance bonus potential
- Medical with HSA option (employer-subsidized), plus dental and vision
- 401(k)
- Flexible PTO plus paid holidays
- Paid parental leave
- Employee jewelry discount
- Remote/hybrid work arrangement
Company Overview