Data Engineer

Shape reliable, scalable data pipelines with Snowflake, AWS, Airflow, and dbt; collaborate across teams to turn data into actionable insights and AI-powered improvements.

About the Role

This role supports data-driven decision making by building reliable, scalable data pipelines and enabling analytics across the organization. You'll work with modern data stack tools to ensure strong engineering practices that support accuracy, reliability, and growth while collaborating closely with business stakeholders.

What You'll Do

Design, build, and maintain scalable data pipelines and ETL processes to support business analytics

Perform data manipulation, transformation, and cleansing to ensure accuracy and integrity

Develop and maintain database solutions using SQL

Implement and optimize data models and storage solutions in Snowflake

Leverage AWS services for data storage, processing, and analytics

Use Terraform to manage and deploy cloud resources as infrastructure-as-code

Orchestrate workflows and schedule pipelines using Apache Airflow

Work with dbt (Data Build Tool) to develop, test, and maintain modular data transformations

Create and maintain reports and dashboards in Looker

Apply AI and machine learning concepts to improve data workflows, automation, and insights generation

Use AI coding tools actively in daily development workflow to accelerate delivery

Collaborate with the team to continuously improve data engineering practices and processes

How You'll Succeed

You deliver reliable, well-tested pipelines that scale with business growth

You proactively identify data quality issues and implement solutions before they impact stakeholders

You communicate technical concepts clearly and confidently in collaborative settings

You balance speed with quality, knowing when to optimize and when to ship

You share knowledge openly and help elevate team capabilities

Who You Are

Strong Python programming skills for data engineering tasks

Proficiency in data manipulation and transformation

Strong SQL skills for database management and querying

Hands-on production experience with Apache Airflow for workflow orchestration

Hands-on production experience with dbt for building scalable and maintainable data models

Proficiency with Terraform for infrastructure automation

Experience with AWS services for data engineering workloads

Proficiency in Snowflake including administration experience

Experience with Looker for reporting and dashboards

Active daily use of AI coding tools (Claude Code, GitHub Copilot, or similar) in development workflow

Exposure to AI concepts or tools applied to data workflows or analytics use cases

Strong understanding of data modeling principles and best practices

Excellent English communication skills. vocal, extroverted, and confident sharing ideas in collaborative settings

Position Details

Remote: Fully-remote

Location: Latin America

Your partner for AI, consulting, software development, and nearshore staffing.