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