[Hiring] Senior Data Engineer @Truelogic

Role Description

Work with data end-to-end: exploring, cleaning, and assembling large, complex datasets that meet functional and non-functional business requirements.

• Analyze and organize raw data from multiple sources, interpret trends and patterns, and maintain reliable data pipelines across all ingestion points.
• Create and maintain data pipelines that integrate licensed data, partner feeds, social platforms, and any scraped or external sources.
• Develop ETL/ELT processes that support analytics, performance, and scalability.
• Manage and operate tools that provide insights into usage, customer acquisition, content performance, and operational efficiency.
• Work with relational and cloud-based storage systems and extract value from large heterogeneous datasets.
• Build analytics-ready outputs and models that enable self-service and trustworthy insights across the organization.

Qualifications

• 5+ years of professional experience in Data Engineering.
• Strong hands-on experience with Snowflake, Fivetran, and dbt Cloud.
• 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.

Requirements

• 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.

Benefits

• 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.