Senior Data Engineer at GOAT Group
$108,800–$160,000
Jul 14, 2026
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Jul 21, 2026
What this job asks for AI summary
A senior-level data engineering role focused on building and maintaining the data infrastructure for a peer-to-peer fashion resale marketplace. Day-to-day work spans pipeline development, data modeling, semantic layer design, and reverse ETL, using a stack that includes Snowflake, dbt, Airflow, and Looker. The role suits an experienced engineer comfortable owning data quality, governance, and cross-functional stakeholder relationships end to end.
Senior level · 5+ years · Remote · Full-time
Pay in the description: $108,800–$160,000
Posted 3 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 1,550 people nationally plausibly meet what this posting asks for (database architects). range 930–2,300
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $142,568 (middle half $111,775–$173,013). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (7)
SOC classification is a genuine judgment call: the role centers on building and architecting data pipelines, data models, and a semantic layer (pointing to 15-1243 Database Architects / Data Engineers), but the emphasis on Python, Reverse ETL, and API development also has meaningful overlap with 15-1252 Software Developers.
The 'Technical Requirements' section lists the full stack (Snowflake, DBT, Airflow, Fivetran, Segment, Looker, Amplitude, Algolia, AWS/Lambda, Git) as experience the candidate should have with 'our stack.' Snowflake, dbt, Airflow, SQL, and Python are the most firmly gated skills given the role's core responsibilities; the remaining stack tools are listed as stack context and are marked preferred accordingly.
Compensation is tiered by home state: Tier 1 (CA, NY, WA, IL, and other high-cost markets) $128,000–$160,000; Tier 2 (mid-cost markets) $115,200–$144,000; Tier 3 (all other U.S.) $108,800–$136,000. The bottom of the pay band/max reflect the full national range ($108,800–$160,000).
ML/data science workflows familiarity appears under 'Nice To Have' and is marked preferred.
The posting includes an unusual application instruction asking candidates to add a personal note to their resume about what drew them to Grailed and a peer-to-peer marketplace experience — flagged here for recruiter awareness.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): ML/data science workflows.
Caller marked this a fully-remote role — scored against the national candidate pool.
Read the full posting
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