Job Title: Senior Data Engineer
Company: Growth Minded
Job Type: Full-time, remote
Location: Remote, Worldwide
Salary/Pay: USD 45,000 - 60,000 per year plus a monthly revenue-share bonus (the company shares profits every month).
Experience: 2+ years in data engineering, with real ownership of a production analytics platform
Skills Required:
- Deep SQL and Python skills
- Strong experience with dbt or an equivalent transformation framework, warehouse design (BigQuery, Postgres), and orchestration
- Experience with semantic or metrics layers and aggregation at scale
- Practical machine learning in a product context: propensity scoring, forecasting, and anomaly detection
- Ability to make architecture calls without a handed-over spec, and to communicate clearly in writing across time zones
- Comfort working with Claude Code and AI-assisted tools as a core part of the workflow
- Advantageous: multi-location, franchise or subscription business data, marketing or CRM integrations, and multi-tenant SaaS
Application Deadline: November 18, 2026
Description:
Growth Minded helps clients find, convert, and retain customers, and often owns major parts of their marketing. It is hiring a Senior Data Engineer to own the data layer behind its products InsightsOS and EngageOS, which turn booking, CRM, ad and financial data from multi-location brands into proactive insights and automated actions. Today that layer is maintained by the product lead and two full-stack engineers. You would own it end to end and report to the product lead, working directly with the founder.
Key responsibilities include:
- Designing and owning the semantic layer and aggregation architecture for clients with 2 to 250 locations each
- Building and maintaining pipelines from sources such as Mindbody, Zenoti, Boulevard, Mariana Tek, Domo, QuickBooks Online, GA4, Google Ads, Meta and Klaviyo
- Developing trend, utilisation and propensity models that power proactive insights and lifecycle triggers
- Setting data quality, governance and row-level security patterns for multi-tenant, franchise-level reporting
- Directing your own discovery and architecture decisions, and writing clear technical specs for the team
- Joining a daily product sync with the product lead and engineers
How to Apply:
Apply here.
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