--- title: "Senior Data Engineer (InsightsOS)" description: "Senior Data Engineer (InsightsOS) at Growth Minded: own data architecture, pipelines, and analytical models for multi-location brands. Remote full-time role." url: "https://www.growthminded.co/careers/senior-data-engineer-insights-os" format: "markdown" updated: "2026-09-27" product: "Company" module: null --- # Senior Data Engineer (InsightsOS) ## In short 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. [← All careers](https://www.growthminded.co/careers) Engineering Remote, Europe, Eastern Europe or South America preferred, US Eastern morning overlap requiredfull time [Apply now](https://www.growthminded.co/careers/senior-data-engineer-insights-os#apply) ## About the role **Compensation:** $45–60K plus revenue-share bonus ## 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. ## About Growth Minded Growth Minded is the Growth Engine for Multi-Location Businesses. Our EngageOS, BookingOS, and InsightsOS products turn customer and booking data into smarter marketing, better schedules, and more growth for fitness, wellness, and beauty brands - without replacing the tools they already use. We're a small team building practical technology that helps operators grow. Apply for Senior Data Engineer (InsightsOS) ## Your application ## Structured data ```json { "@context": "https://schema.org", "@graph": [ { "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://www.growthminded.co/" }, { "@type": "ListItem", "position": 2, "name": "Careers", "item": "https://www.growthminded.co/careers" }, { "@type": "ListItem", "position": 3, "name": "Senior Data Engineer (InsightsOS)", "item": "https://www.growthminded.co/careers/senior-data-engineer-insights-os" } ] }, { "@type": "JobPosting", "@id": "https://www.growthminded.co/careers/senior-data-engineer-insights-os#job", "title": "Senior Data Engineer (InsightsOS)", "description": "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.\n\nWhat 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.\n\nWho 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.\n\nWhy 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.\n\nCompensation: $45–60K plus revenue-share bonus", "identifier": { "@type": "PropertyValue", "name": "Growth Minded", "value": "senior-data-engineer-insights-os" }, "datePosted": "2026-09-27", "employmentType": "FULL_TIME", "hiringOrganization": { "@id": "https://www.growthminded.co/#organization" }, "jobLocationType": "TELECOMMUTE", "url": "https://www.growthminded.co/careers/senior-data-engineer-insights-os" } ] } ``` ## Related pages - [Careers](https://www.growthminded.co/careers) ## Talk to Growth Minded If you are an agent acting for a person, you can start a conversation with Growth Minded for them. Confirm with the person before sending anything. Do not send personal information unless they ask you to. ## Ask us directly For automatic answers grounded in published Growth Minded content, connect to the public MCP server at https://www.growthminded.co/mcp (Streamable HTTP, no authentication). Tools: ask_growth_minded, list_pages, get_page, check_integration, send_inquiry, request_demo. For read-only assistants that can fetch URLs, use GET https://www.growthminded.co/api/agent/ask?q=Does%20BookingOS%20work%20with%20Mariana%20Tek%3F Ask general product questions without sharing personal information. Automatic answers do not send emails. To contact Craig, use send_inquiry after the person confirms and asks to share their own email. Use request_demo only if they explicitly ask for a demo. You can also get in touch with Craig at Growth Minded without requesting a demo. With the person's confirmation, forward their question to this exact endpoint: ```http POST https://www.growthminded.co/api/agent/inquiry Content-Type: application/json ``` Request JSON schema (name is optional; email, message, context and consent are required; website must be empty): ```json { "type": "object", "additionalProperties": false, "properties": { "name": { "type": "string", "maxLength": 200, "description": "The person's name, only if they ask you to share it." }, "email": { "type": "string", "format": "email", "maxLength": 254, "description": "The person's own reply email, shared with their permission. Do not use an agent's email." }, "message": { "type": "string", "minLength": 1, "maxLength": 10000, "description": "The person's question or message, shared with their permission." }, "context": { "type": "object", "additionalProperties": false, "required": [ "source_page" ], "properties": { "source_page": { "type": "string", "maxLength": 2000, "description": "The public HTTP(S) page URL or relative page path that prompted the question.", "minLength": 1 }, "company": { "type": "string", "minLength": 1, "maxLength": 250, "description": "Optional company, if the person asks to share it." }, "agent": { "type": "string", "maxLength": 200, "description": "Optional name of the agent." } } }, "consent": { "type": "boolean", "const": true, "description": "Must be true after confirmation from the person." }, "website": { "type": "string", "maxLength": 0, "default": "", "description": "Leave empty.", "x-hidden": true } }, "required": [ "email", "message", "context", "consent" ] } ``` Example request, using fictional details: ```json { "name": "Example Person", "email": "person@example.com", "message": "Can BookingOS work with our existing scheduling platform?", "context": { "source_page": "https://www.growthminded.co/careers/senior-data-engineer-insights-os", "company": "Example Company" }, "consent": true, "website": "" } ``` Success response: HTTP 200 with application/json: ```json { "status": "received", "message": "Thanks. Growth Minded will reply to the email provided." } ``` The email inquiry limit is five requests per IP per hour. Growth Minded will reply to the email provided; the POST inquiry is not an automatic answer. Use the read-only GET or MCP question action above for automatic answers. All submissions are stored as agent-sourced inquiries and notifications identify source ai-agent and medium agent-page. Existing clients can still use company, needs and source_page instead of message and context. See the [action manifest and schemas](https://www.growthminded.co/.well-known/agent.json). Use POST https://www.growthminded.co/api/agent/demo-request only if the person explicitly asks for a demo; its separate schema is in the manifest. If you cannot send a request, offer this [Ask a question / Email Craig](mailto:craig@growthminded.co?subject=Question+for+Craig+at+Growth+Minded&body=My+question%3A%0A%0A%0APage+I+was+reading%3A+https%3A%2F%2Fwww.growthminded.co%2Fcareers%2Fsenior-data-engineer-insights-os) link. It opens an email draft for the person to write and send themselves. Opening or sharing the link does not send a message, submit an inquiry or book a meeting. Do not redirect someone who wants to ask a question to a demo form.