0725 - 275RAN | Backend Data Engineer

Backend Data Engineer - LATAM (Remote)

Location: LATAM (Remote)
Compensation: Starts at $2,500 per month
Type: Full-Time / Contractor

🧩 About the Role

We’re looking for a Backend Data Engineer to help level up the impact of data-driven decision-making. You’ll be responsible for building, maintaining, and optimizing the data infrastructure that supports reporting, analytics, and automation across teams.

🎯 Role Overview

This is a cross-functional engineering role focused on backend systems, data architecture, and integrations. You’ll collaborate with analysts and internal stakeholders to build scalable, reliable, and automated data solutions.

💼 Responsibilities

Backend & Data Infrastructure

• Design and optimize data warehouses using Google BigQuery.

• Build and maintain ETL/ELT pipelines from APIs, CRMs, and marketing platforms.

• Develop backend microservices, internal tools, and scripts using Python and SQL.

System Integration & Automation

• Connect platforms like HubSpot, Google Analytics, Looker, Tableau, and SEO tools via APIs and webhooks.

• Automate alerts, reporting, and workflows with tools like Zapier, Airbyte, etc.

• Support scalable queries and data model architecture.

Collaboration & Support

• Troubleshoot and resolve technical bottlenecks with data analysts.

• Ensure clean, consistent, real-time data across systems.

• Document workflows, SOPs, and technical architectures for wide audiences.

🧠 Qualifications

• 3+ years in backend development, ideally focused on data engineering.

• Advanced skills in Python, SQL, and API integrations.

• Experience with BI tools (e.g., Looker, Tableau).

• Familiarity with ETL orchestration and tools like dbt, Zapier, etc.

• Strong remote work discipline, documentation, and coding hygiene.

Nice-to-Haves:

• Cloud experience or GCP certification.

• Exposure to AI/ML pilots or regulated industries (e.g. legal marketing).

Apply NOW!