Data Engineer (COL) | Hybrid Work Model

About the Role

We’re looking for a highly skilled Data Engineer to design, build, and maintain our data infrastructure. In this role, you’ll develop ETL/ELT workflows and data pipelines that enable efficient storage, processing, and analysis of large volumes of information.

You’ll partner closely with data scientists, analysts, developers, and cross-functional teams to ensure data is reliable, accessible, and scalable for decision-making.

Responsibilities

• Design and maintain data infrastructure and processing pipelines
• Build and optimize ETL/ELT jobs for high-volume data flows
• Ensure data reliability, quality, and performance across systems
• Collaborate with stakeholders to support analytics and reporting needs
• Automate data workflows and continuously improve operational efficiency

Requirements

• Strong analytical and problem-solving skills
• Solid technical background in data engineering and pipeline development
• Experience working with large-scale datasets and data processing
• Ability to collaborate effectively in a dynamic, team-oriented environment

Benefits

• Opportunity to work on impactful data infrastructure and automation
• Collaborative environment with cross-functional teams
• Focus on scalable, reliable data systems that support business decisions