Senior Data Engineer

Headquarters: Remote URL: https://growthminded.co About the role You'll own the data layer underneath InsightsOS and EngageOS, the products that turn booking, CRM, ad, and financial data from multi-location brands into proactive insights and automated actions. Today that layer is built and maintained by our product lead alongside two full-stack engineers. We need someone who owns it end to end: architecture, modeling, pipelines, and the analytical models on top. You'll report to our product lead and work directly with the founder. Compensation: $45–60K plus revenue-share bonus (we profit share every month) What you'll do - 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