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RevOps Data Infrastructure Engineer (LatAm, Remote)

Data Engineer Full-time Permanent Latin America

Job details

Not specified Salary
Latin America Eligibility
Not specified Experience
Full-time Employment

About this role

Role overview Build and operate the data foundation used by revenue operations teams working across multiple business-to-business clients. You’ll own the warehouse, the pipelines that feed it, and the trusted data layer behind reporting, alerts, and automation. The work combines hands-on engineering with standardizing solutions so they can serve different client systems reliably.

Responsibilities - Maintain and evolve the cloud data warehouse and its models. - Build, monitor, and troubleshoot ingestion from CRM, sales engagement, and other sources, including systems without ready-made connectors. - Replace spreadsheet-dependent processes with scalable warehouse-based workflows. - Maintain data used by dashboards, reports, notifications, and alerts. - Monitor data quality, investigate discrepancies, and address problems at their source. - Standardize successful one-off solutions and manage access, cost, and performance; document technical practices.

Requirements - At least three years of experience in data engineering, analytics engineering, or a technical revenue or business operations role. - Strong SQL skills and hands-on experience with a cloud data warehouse such as BigQuery, Snowflake, or Redshift. - Experience with data modeling and ELT tools, including diagnosing failed pipelines. - Scripting ability in Python, JavaScript, or Google Apps Script. - Working knowledge of CRM and sales data, particularly HubSpot and Salesforce. - Professional written and spoken English, with willingness to interview in English; based in Latin America with good overlap with US business hours. - Careful approach to validating data before it informs decisions.

Nice to have Experience with CRM or sales platform APIs, Google Cloud, BI tools such as Looker Studio, Git, or moving spreadsheet workflows into a warehouse. Daily use of AI tools is also listed as desirable.

Benefits and work setup The position is remote and intended for someone in Latin America. The source lists USD compensation with performance-related pay, coworking and equipment support, an open vacation policy tied to goals, a professional development budget, health reimbursement, and a fitness stipend. It also describes quarterly trips for employees who meet revenue targets; specific compensation amounts are not provided.

Skills detected in the listing

JavaScriptPythonGoSQLSnowflakeLookerdbtData WarehousingData EngineeringGCP
Detected Nov 13, 2026
Last verified Nov 13, 2026

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