Data Engineer (Snowflake Systems Integration)

Squire

Job Location:

Buenos Aires - Argentina

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

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 30000 barbers across 5000 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 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 SQUIREs 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

JOB DUTIES AND RESPONSIBILITIES

Design build and maintain bidirectional data pipelines between operational systems (CRM billing internal platforms marketing/sales/CX tools) and Snowflake.

Build integrations that surface data from internal systems back into CRM and other downstream business tools as a reliable source of truth.

Partner with TechOps and Analytics & Insights on cross-system initiatives: data cleanup schema changes new tool rollouts and reporting/dashboard enablement.

Develop and maintain ELT/ETL processes with clear orchestration scheduling monitoring and alerting.

Model data in Snowflake to support analytics reporting (Tableau Looker) and AI/LLM use cases.

Implement data quality checks validation rules and reconciliation logic to catch drift between systems before it reaches end users.

Translate business definitions into accurate scalable data structures.

Audit existing automations and integrations; rip-and-replace where they create duplicate or bad data.

Build and maintain CI/CD for data pipelines and SQL/transformation code. Document data contracts schemas and lineage so other teams can self-serve with confidence.

Troubleshoot and resolve pipeline failures data discrepancies and integration issues across the stack.

Build and maintain a data dictionary covering key fields definitions owners and source systems making it easy for any team to understand what data exists where it lives and what it means.

The duties and responsibilities outlined above are not a comprehensive list and additional tasks may be assigned based on business needs.

REQUIREMENTS AND QUALIFICATIONS

5 years of experience as a data engineer or in a closely related integration/backend role.

Strong experience with Snowflake (warehousing performance tuning RBAC Snowpipe/streams/tasks) or equivalent cloud data warehouse (BigQuery Redshift); advanced SQL (window functions CTEs performance optimization); and Python for data engineering (pandas requests API clients scripting).

Hands-on experience integrating SaaS business systems (CRM billing marketing/sales/CX platforms) via REST APIs webhooks and bulk data interfaces.

Experience with at least one ELT/integration platform (Fivetran Airbyte Hightouch Census Workato MuleSoft or equivalent) and ability to evaluate when to buy vs. build. Experience with a transformation framework (dbt strongly preferred) and workflow orchestration (Airflow Dagster Prefect or similar).

Solid understanding of data modeling (dimensional normalized junction objects); familiarity with reverse ETL patterns (warehouse back to operational systems) including Polytomic. Practical experience with data quality deduplication and master data management (MDM) concepts.

Experience with Git and CI/CD pipelines; strong problem-solving skills and ability to debug across systems networks and APIs.

Excellent communication and collaboration skills; this role works directly with non-technical cross-functional stakeholders.

Bachelors degree in Computer Science or Engineering.

English proficiency is required; must be based in Buenos Aires with availability to work on-site in our office in CABA two days a week (Tuesdays and Thursdays).

Nice to have: Experience with Salesforce data model and APIs Stripe or similar billing platforms Gong marketing automation or LLM/AI platform integrations and exposure to data governance frameworks and PII/compliance handling.

Interview Accommodations

SQUIRE is committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are an individual with a disability requiring an accommodation to apply for an open position please email your request to emailprotected and someone on our team will respond to your request.

Equal Employment Opportunity

SQUIRE provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.

This applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.

Pay Transparency Nondiscrimination Provision

SQUIRE will not discharge or in any other manner discriminate against employees or applicants because they have inquired about discussed or disclosed their own pay or the pay of another employee or applicant. However employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information unless the disclosure is (a) in response to a formal complaint or charge (b) in furtherance of an investigation proceeding hearing or action including an investigation conducted by the employer or (c) consistent with the contractors legal duty to furnish information.

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.

Required Experience:

WHO WE ARESQUIRE 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 an...