Senior Data Engineer

• 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. Who you are • 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. • Bonus: multi-location, franchise, or subscription business data; marketing or CRM integrations; multi-tenant SaaS. Why this role • 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. To apply: https://weworkremotely.com/remote-jobs/growth-minded-senior-data-engineer