Описание

This is a remote Senior Data Engineer role focused on owning the data layer behind two product offerings. The engineer will build and maintain pipelines, design the semantic layer and aggregation architecture, and support data quality, governance, and row-level security. The role also involves practical modeling work for product insights and lifecycle triggers.

Responsibilities

Design and own the semantic layer and aggregation architecture across clients with 2 to 250 locations each
Build and maintain pipelines from sources like Mindbody, Zenoti, Boulevard, Mariana Tek, Domo, QuickBooks Online, GA4, Google Ads, Meta, and Klaviyo
Develop trend, utilization, and propensity models that power proactive insights and lifecycle triggers
Work with Claude Code and AI-assisted tooling as a core part of your workflow, not an afterthought
Establish data quality, governance, and row-level security patterns as we move into multi-tenant, franchise-level reporting
Self-direct discovery and architecture decisions, and write clear technical specs the rest of the team can execute against
Join a daily product sync with the product lead and engineering team

Requirements

2+ years in data engineering with real ownership of a production analytics platform
Deep in SQL and Python, strong with dbt or an equivalent transformation framework, warehouse design (BigQuery, Postgres), and orchestration
Experience with semantic or metrics layers and aggregation at scale, you've solved the "same metric, different answers" problem before
Practical ML: propensity scoring, forecasting, and anomaly detection in a product context
Comfortable making architecture calls without a spec handed to you, and communicating clearly across time zones in writing

Nice to have

Multi-location, franchise, or subscription business data
Marketing or CRM integrations
Multi-tenant SaaS

We offer

Compensation: $45-60K plus revenue-share bonus (we profit share every month)
Full ownership of a product vertical, not a ticket queue
Small team, direct impact, your models show up in client revenue within weeks
Build the cross-client data asset that is central to our strategy