Data Engineering
A fully managed data pipeline and warehouse — built, run, and maintained for you.
How the pipeline works
Your systems feed one managed pipeline. We ingest them read-only, model the raw data into clean, tested tables, verify the numbers against the records behind them, and keep it running — so your reports and your AI read from the same verified data.
| Product | Revenue | GM % |
|---|---|---|
| Pro Plan | $1.48M | 75.4% |
| Enterprise | $2.31M | 70.6% |
| Advanced | $1.09M | 69.0% |
| Growth Plan | $860K | 67.1% |
| Basic | $512K | 60.7% |
What's included
Data Engineering is our core offering and the foundation everything else builds on. We stand up your complete modern data stack — managed connectors, dbt models, and a Snowflake warehouse — and then we run it. You don't hire, configure, or babysit anything; StatLogic operates the whole pipeline as a managed service.
- Managed connectors across your sources
- dbt models — tested, documented, and version-controlled
- A production Snowflake warehouse on dedicated infrastructure
- Ongoing maintenance, monitoring, and incident response
- Security and reliability handled for you
How the build works
We connect your sources into Snowflake, model the raw data into clean, tested tables with dbt, and keep the whole thing running — watching pipelines, fixing breakages, and adding sources as you grow. It's a flat-fee managed service: predictable, hands-off, and built to be the reliable backbone under your reporting and AI. We scope it to your sources and complexity on a quick call.
Who it's for
Built for teams that need a real data foundation without standing up a data engineering function of their own.