Work end-to-end with data: explore, clean, transform, and assemble large, complex datasets to support business needs.
Analyze and organize raw data from multiple sources, identify trends and patterns, and maintain reliable, scalable data pipelines across all ingestion points.
Design, build, and maintain ETL/ELT pipelines that integrate licensed data, partner feeds, social platforms, scraped datasets, and other external sources.
Develop ingestion pipelines using Fivetran; model and transform data in dbt Cloud; and manage structured datasets in Snowflake.
Ensure data pipelines are optimized for performance, scalability, reliability, and data integrity.
Operate within Azure DevOps environments across development and production instances, following best practices for version control and deployment.
Scope and design custom connectors (e.g., via Fivetran SDK using Python) when pre-built integrations are not sufficient, collaborating with upstream data engineering teams as needed.
Work with relational and cloud-based storage systems to extract value from large, heterogeneous datasets.
Build analytics-ready outputs, curated datasets, structured views, and data models that enable trustworthy, self-service insights across the organization.
Manage and operate tools that provide insights into usage, acquisition, content performance, and operational efficiency.

5+ years of professional experience in Data Engineering.
Strong hands-on experience with Python, Snowflake and Azure DevOps (or similar CI/CD environments).
Experience working with different social media APIs (Tik Tok, Instagram, Youtube, etc).
Background in Data Analytics, Business Intelligence, and Data Analysis.
Solid Business Analysis (BA) and Project Management (PM) skills, with the ability to handle both technical development and cross-department communication.
Excellent communication and stakeholder management skills.
Located in Latam.
Fluent English level.

100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

Senior Data Engineer, Python, Snowflake

Key skills