Senior Data Engineer
Exact salary band and monthly in-hand breakdown will be confirmed during the ATS technical evaluation.
- Target Role:Senior Data Engineer
- Employer:Growth Minded
- Work Mode:REMOTE
- Location:Remote (Worldwide)
- Compensation:Competitive Remote Compensation (Official)
- Experience:2+ Years
- Recruiter SLA:7-Day Truth Teller Guarantee
- Candidate Fee:₹0 (Zero Placement Fee Guarantee)
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About the Role
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
Requirements & Qualifications
- Strong problem solving foundations, knowledge of modern engineering practices, and interest in technology systems.
Perks & Benefits
- Official mentor support
- verified hiring timeline
- and career progression.
The employer seeks candidates proficient in the following core technologies:
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Verified Direct Application Link
Official position sourced directly from Growth Minded's verified career portal.
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How do I apply for Senior Data Engineer at Growth Minded?▼
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What is the compensation or stipend for this role?▼
The verified package for this role is Competitive Remote Compensation (Official) (REMOTE). RoleNest enforces transparent compensation benchmarking to eliminate guessing before candidates invest time in assessments.
Who is eligible to apply for this opening?▼
Engineers with 2+ years of experience proficient in Python, PostgreSQL, SQL are encouraged to apply.
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Truth Teller tracks candidate application timestamps and recruiter response telemetry. If Growth Minded does not update your application status within 7 business days, RoleNest provides polite, ATS-tailored follow-up email templates and highlights active matching roles to keep your momentum high.
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