Remote opportunity at
Growth MindedSenior Data Engineer
Growth Minded seeks a Senior Data Engineer to take full end-to-end ownership of the data layer supporting its software products, InsightsOS and EngageOS. These platforms process…
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About This Role
Growth Minded seeks a Senior Data Engineer to take full end-to-end ownership of the data layer supporting its software products, InsightsOS and EngageOS. These platforms process financial, booking, CRM, and advertising data for multi-location brands to generate automated actions and proactive insights. Operating in a remote capacity, the person in this position will report directly to the product lead and collaborate closely with the founder, as well as two full-stack…
Job Description
Growth Minded seeks a Senior Data Engineer to take full end-to-end ownership of the data layer supporting its software products, InsightsOS and EngageOS. These platforms process financial, booking, CRM, and advertising data for multi-location brands to generate automated actions and proactive insights. Operating in a remote capacity, the person in this position will report directly to the product lead and collaborate closely with the founder, as well as two full-stack engineers.
This opportunity is suited for a self-directed professional who can autonomously handle architecture, data modeling, pipeline development, and analytical models. The daily workflow heavily integrates AI-assisted tooling such as Claude Code. Responsibilities span designing aggregation architecture, establishing data quality standards, and building scalable semantic layers for multi-tenant and franchise-level reporting.
Responsibilities
- Design and maintain the semantic layer and aggregation architecture for clients operating between 2 and 250 locations
- Build and sustain data pipelines connecting to sources like Mindbody, Zenoti, Boulevard, QuickBooks Online, GA4, Google Ads, Meta, and Klaviyo
- Create utilization, trend, and propensity models to drive lifecycle triggers and proactive insights
- Utilize AI-assisted tools and Claude Code as a central component of the daily workflow
- Implement governance, row-level security, and data quality patterns for multi-tenant and franchise reporting
- Conduct independent discovery, drive architectural choices, and author clear technical specifications for the team
- Participate in daily product synchronization meetings with the product lead and engineering group
Requirements
- Minimum of two years of data engineering experience demonstrating genuine ownership of a production analytics platform
- Strong proficiency in Python and SQL
- Familiarity with transformation frameworks such as dbt, warehouse design including Postgres and BigQuery, and orchestration tools
- Experience dealing with aggregation at scale and semantic or metrics layers
- Practical machine learning skills covering anomaly detection, forecasting, and propensity scoring in a product setting
- Ability to independently make architectural decisions without relying on predefined specifications
- Clear written communication skills across multiple time zones
Qualifications
- Prior background working with subscription business, franchise, or multi-location data
- Experience handling CRM or marketing integrations
- Familiarity with multi-tenant SaaS applications
Core Skills
Benefits
- Monthly profit-sharing bonuses alongside base compensation
- Full product vertical ownership
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the job posting indicates that the role is remote.
What is the compensation for this role?
The compensation ranges from $45,000 to $60,000, supplemented by a monthly revenue-share profit-sharing bonus.
What tools and technologies are required?
Candidates must have deep proficiency in Python and SQL, along with experience using transformation frameworks like dbt, warehouse design tools such as BigQuery and Postgres, and data orchestration.
Who will I report to?
You will report to the product lead and work directly with the founder.
Sample Interview Questions
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