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⚙️Data Engineer

Data Engineer (Snowflake / Systems Integration)

getsquire · Buenos Aires
// classified as
Data Engineer (Pipelines, infra, ingestion, ETL.)
posted
2d ago
location
Buenos Aires
languages
—
tools
snowflake
> stack
snowflake
> description
WHO WE ARE

SQUIRE is the leading business management system designed for the needs of barbers, shop owners, and their communities. We believe the pursuit of artistry and autonomy should not be restricted by the complexities of running a business. With SQUIRE, we provide custom-branded tools, resources, and guidance to help barbers of all stages and experience levels attract and retain more customers, efficiently manage their shop operations, and increase their revenue.

Founded in 2015, SQUIRE is trusted by more than 30,000 barbers across 5,000+ shops in more than a thousand cities worldwide. From streamlined booking and opening new shops to real-time earning dashboards and building lasting customer relationships, SQUIRE supports shop owners in seamlessly bridging the gap between their personal craft and business goals. SQUIRE enables barbers everywhere to unlock their full potential both as artists and as entrepreneurs.

For more information, please visit getsquire.com or download the SQUIRE app from the App or Play Store.
 

POSITION TITLE 

Data Engineer (Snowflake / Systems Integration) 

SUMMARY 

The Data Engineer is responsible for building and maintaining the data pipelines, integrations, and infrastructure that move data bidirectionally across SQUIRE's business systems: CRM, billing, internal platforms, and our Snowflake data warehouse. This role ensures our data is accurate, accessible, and trustworthy across the company. 

This person will partner closely with the TechOps and Analytics & Insights teams on cross-system initiatives, dashboards, and data quality work. They will design integrations that keep operational systems and the warehouse in sync, surface internal platform data into downstream CRM and revenue tools, and enable reliable reporting and AI/automation use cases. 

As part of the Operations extended team, the Data Engineer collaborates across the company. Hiring and technology policies are defined and owned by the Engineering Manager. 

REPORTS TO 

Direct: Engineering Manager; Dotted: Operations

Apply at getsquire →