Senior Data Engineer Role: Own Analytics Stack at SaaS in Columbus
Career & Market Insight
Ownership & Scope: This is a rare "build-and-own" role rather than a maintenance position. You'll architect the entire data layer for a growing SaaS platform — a resume-defining opportunity that many senior engineers at larger companies never get.
Compensation Context: At $45–60K base, this is below U.S. market rates for a senior data engineer (typically $130–160K in major metros). However, the role targets a global talent pool, and the monthly revenue-share/profit-sharing bonus could meaningfully supplement the base if the company is growing. Candidates in lower cost-of-living regions or those seeking equity-like upside should weigh this carefully.
Skills You'll Build:
- End-to-end semantic layer and metrics architecture — highly marketable in the modern data stack ecosystem.
- Practical ML in a product context (propensity models, anomaly detection) — bridges DE and DS roles.
- AI-assisted engineering workflows using tools like Claude Code — forward-looking and increasingly in demand.
- Multi-tenant SaaS data governance and row-level security — valued in enterprise and scale-up environments.
Green Flags: Small team means fast feedback loops and high visibility. Direct access to the founder signals real influence. Daily syncs suggest a structured but lean process.
Red Flags to Watch: The below-market base salary warrants a close look at the revenue-share mechanics before accepting. Clarify the profit-share formula, payout history, and growth trajectory to assess total compensation potential.
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
Frequently Asked Questions
Is this role fully remote and open to candidates outside the US?
What is the salary and how does the revenue-share bonus work?
Are there fixed working hours or is the schedule flexible?
What tech stack will I primarily work with?
How much experience is required for this position?
